### from (start index)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Returns an iterable that iterates over all elements starting from the specified index.

```APIDOC
## from (start index)

### Description
Iterates over all elements, starting from the indicated element.

### Method
public LargeDoubleArray.FromIterable from(long from)

### Parameters
#### Path Parameters
- **from** (long) - Required - From index, inclusive

### Returns
Iterable
```

--------------------------------

### from

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.html

Creates an iterable that starts iterating from a specified element index.

```APIDOC
## from

### Description
Iterates over all elements, starting from the indicated element.

### Method
public LargeIntArray.FromIterable from(long from)

### Parameters
#### Path Parameters
- **from** (long) - Required - From index, inclusive

### Returns
Iterable
```

--------------------------------

### from

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Creates an iterable that iterates over all elements starting from a specified element.

```APIDOC
## from

### Description
Iterates over all elements, starting from the indicated element.

### Parameters
* **from** (long) - The starting element index for iteration.

### Returns
* A `LargeLongArray.FromIterable` instance.
```

--------------------------------

### GradientDescentVOSLayoutAlgorithm Configuration

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/GradientDescentVOSLayoutAlgorithm.html

Methods for configuring the Gradient Descent VOS Layout Algorithm, including setting and getting iteration limits, step sizes, and quality improvement thresholds.

```APIDOC
## getMaxNIterations

### Description
Returns the maximum number of iterations.

### Method
GET

### Endpoint
/GradientDescentVOSLayoutAlgorithm/maxNIterations

### Response
#### Success Response (200)
- **Maximum number of iterations** (int) - Description of the maximum number of iterations.

## getInitialStepSize

### Description
Returns the initial step size.

### Method
GET

### Endpoint
/GradientDescentVOSLayoutAlgorithm/initialStepSize

### Response
#### Success Response (200)
- **Initial step size** (double) - Description of the initial step size.

## getMinStepSize

### Description
Returns the minimum step size.

### Method
GET

### Endpoint
/GradientDescentVOSLayoutAlgorithm/minStepSize

### Response
#### Success Response (200)
- **Minimum step size** (double) - Description of the minimum step size.

## getStepSizeReduction

### Description
Returns the step size reduction.

### Method
GET

### Endpoint
/GradientDescentVOSLayoutAlgorithm/stepSizeReduction

### Response
#### Success Response (200)
- **Step size reduction** (double) - Description of the step size reduction.

## getRequiredNQualityValueImprovements

### Description
Returns the required number of quality value improvements.

### Method
GET

### Endpoint
/GradientDescentVOSLayoutAlgorithm/requiredNQualityValueImprovements

### Response
#### Success Response (200)
- **Required number of quality value improvements** (int) - Description of the required number of quality value improvements.

## setMaxNIterations

### Description
Sets the maximum number of iterations.

### Method
POST

### Endpoint
/GradientDescentVOSLayoutAlgorithm/maxNIterations

### Parameters
#### Request Body
- **maxNIterations** (int) - Required - Maximum number of iterations

## setInitialStepSize

### Description
Sets the initial step size.

### Method
POST

### Endpoint
/GradientDescentVOSLayoutAlgorithm/initialStepSize

### Parameters
#### Request Body
- **initialStepSize** (double) - Required - Initial step size

## setMinStepSize

### Description
Sets the minimum step size.

### Method
POST

### Endpoint
/GradientDescentVOSLayoutAlgorithm/minStepSize

### Parameters
#### Request Body
- **minStepSize** (double) - Required - Minimum step size

## setStepSizeReduction

### Description
Sets the step size reduction.

### Method
POST

### Endpoint
/GradientDescentVOSLayoutAlgorithm/stepSizeReduction

### Parameters
#### Request Body
- **stepSizeReduction** (double) - Required - Step size reduction

## setRequiredNQualityValueImprovements

### Description
Sets the required number of quality value improvements.

### Method
POST

### Endpoint
/GradientDescentVOSLayoutAlgorithm/requiredNQualityValueImprovements

### Parameters
#### Request Body
- **requiredNQualityValueImprovements** (int) - Required - Required number of quality value improvements
```

--------------------------------

### from(from)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Returns an iterable view of the array starting from the specified index. This allows for iteration over a sub-range of the array.

```APIDOC
## from(from)

### Description
Iterates over all elements, starting from the indicated element.

### Method
public LargeLongArray.FromIterable from(long from)

### Parameters
#### Path Parameters
- **from** (long) - Required - From index, inclusive

### Returns
Iterable
```

--------------------------------

### from

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.html

Creates an iterable view of the array starting from the specified index. This allows iterating over elements from a certain point onwards.

```APIDOC
## from

### Description
Iterates over all elements, starting from the indicated element.

### Method
`[LargeIntArray.FromIterable](../../../nl/cwts/util/LargeIntArray.FromIterable.html)`

### Parameters
#### Path Parameters
- **from** (long) - Description: The starting index for iteration.
```

--------------------------------

### VOSLayoutAlgorithm Constructor with Parameters

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/VOSLayoutAlgorithm.html

Constructs a VOS layout algorithm with specified attraction, repulsion, and edge weight increment parameters.

```APIDOC
## VOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement)

### Description
Constructs a VOS layout algorithm with a specified attraction parameter, repulsion parameter, and edge weight increment parameter.

### Method
`VOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement)`

### Parameters
#### Path Parameters
- **attraction** (int) - Required - Attraction parameter.
- **repulsion** (int) - Required - Repulsion parameter.
- **edgeWeightIncrement** (double) - Required - Edge weight increment parameter.
```

--------------------------------

### Run Network Layout Tool

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/README.md

Executes the RunNetworkLayout tool with default parameters. Requires a network edge list file as input and outputs node coordinates for visualization.

```bash
java -cp networkanalysis-1.3.0.jar nl.cwts.networkanalysis.run.RunNetworkLayout -o layout.txt network.txt
```

--------------------------------

### get(long index)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.html

Gets value element based on long index.

```APIDOC
## get

### Description
Gets value element based on long index.

### Parameters
#### Path Parameters
- **index** (Index) - Description: Index of element

### Returns
- **Value** - Description: Value of element
```

--------------------------------

### Run Network Layout Tool (Compiled JAR)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/README.md

Executes the RunNetworkLayout tool using a compiled JAR file. Replace <version> with the actual version number.

```bash
java -cp build/libs/networkanalysis-<version>.jar nl.cwts.networkanalysis.run.RunNetworkLayout
```

--------------------------------

### get(int segment, int offset)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.html

Gets value element based on segment and offset.

```APIDOC
## get

### Description
Gets value element based on segment and offset.

### Parameters
#### Path Parameters
- **segment** (Segment) - Description: Segment of element
- **offset** (Offset) - Description: Offset of element

### Returns
- **Value** - Description: Value of element
```

--------------------------------

### Constructor Summary

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/GradientDescentVOSLayoutAlgorithm.html

Provides a summary of the constructors available for the GradientDescentVOSLayoutAlgorithm.

```APIDOC
## Constructor Summary

### `GradientDescentVOSLayoutAlgorithm()`

Constructs a gradient descent VOS layout algorithm.

### `GradientDescentVOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement, int maxNIterations, double initialStepSize, double minStepSize, double stepSizeReduction, int requiredNQualityValueImprovements, java.util.Random random)`

Constructs a gradient descent VOS layout algorithm for a specified attraction parameter, repulsion parameter, edge weight increment parameter, maximum number of iterations, initial step size, minimum step size, step size reduction, and required number of quality value improvements.

### `GradientDescentVOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement, java.util.Random random)`

Constructs a gradient descent VOS layout algorithm for a specified attraction parameter, repulsion parameter, and edge weight increment parameter.

### `GradientDescentVOSLayoutAlgorithm(java.util.Random random)`

Constructs a gradient descent VOS layout algorithm.
```

--------------------------------

### updateFrom

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Updates this array from the provided array. Values from the other array starting at `from` until `to` (exclusive) will be copied to this array, starting from the `insertionPoint` onwards.

```APIDOC
## updateFrom

### Description
Updates this array from the provided array. Values from other array starting at `from` until `to` (exclusive) will be copied to this array, starting from the `insertionPoint` onwards.

### Parameters
#### Path Parameters
- **array** (LargeDoubleArray) - The array to update from.
- **from** (long) - Index in `array` from where to update, inclusive.
- **to** (long) - Index in `array` until where to update, exclusive.
- **insertionPoint** (long) - Starting index in this array to update.
```

--------------------------------

### LouvainAlgorithm Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/LouvainAlgorithm.html

Provides documentation for the various constructors of the LouvainAlgorithm class, allowing for different initialization configurations.

```APIDOC
## LouvainAlgorithm()

### Description
Constructs a Louvain algorithm.

### Method
Constructor

## LouvainAlgorithm(Random random)

### Description
Constructs a Louvain algorithm.

### Method
Constructor

### Parameters
#### Path Parameters
- **random** (Random) - Random number generator

## LouvainAlgorithm(double resolution, int nIterations, Random random)

### Description
Constructs a Louvain algorithm for a specified resolution parameter and number of iterations.

### Method
Constructor

### Parameters
#### Path Parameters
- **resolution** (double) - Resolution parameter
- **nIterations** (int) - Number of iterations
- **random** (Random) - Random number generator

## LouvainAlgorithm(double resolution, int nIterations, IncrementalCPMClusteringAlgorithm localMovingAlgorithm)

### Description
Constructs a Louvain algorithm for a specified resolution parameter, number of iterations, and local moving algorithm.

### Method
Constructor

### Parameters
#### Path Parameters
- **resolution** (double) - Resolution parameter
- **nIterations** (int) - Number of iterations
- **localMovingAlgorithm** (IncrementalCPMClusteringAlgorithm) - Local moving algorithm
```

--------------------------------

### getSegment

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.html

Gets the segment of the index.

```APIDOC
## getSegment

### Description
Gets the segment of the index.

### Parameters
#### Path Parameters
- **index** (Index) - Description: Index

### Returns
- **Segment** - Description: Segment
```

--------------------------------

### size() in LargeLongArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the size of a LargeLongArray.

```APIDOC
## size() in LargeLongArray

### Description
Gets the size of a LargeLongArray.

### Method
Method call

### Response
#### Success Response (200)
- **size** (int) - The number of elements in the array.
```

--------------------------------

### VOSLayoutAlgorithm Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/VOSLayoutAlgorithm.html

Provides documentation for the constructors of the VOSLayoutAlgorithm class.

```APIDOC
## VOSLayoutAlgorithm()

### Description
Constructs a VOS layout algorithm.

### Constructor
`public VOSLayoutAlgorithm()`
```

```APIDOC
## VOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement)

### Description
Constructs a VOS layout algorithm with a specified attraction parameter, repulsion parameter, and edge weight increment parameter.

### Constructor
`public VOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement)`

### Parameters
* **attraction** (int) - The attraction parameter.
* **repulsion** (int) - The repulsion parameter.
* **edgeWeightIncrement** (double) - The edge weight increment parameter.
```

--------------------------------

### size() in LargeIntArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the size of a LargeIntArray.

```APIDOC
## size() in LargeIntArray

### Description
Gets the size of a LargeIntArray.

### Method
Method call

### Response
#### Success Response (200)
- **size** (int) - The number of elements in the array.
```

--------------------------------

### VOSLayoutAlgorithm Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/VOSLayoutAlgorithm.html

Constructs a VOS layout algorithm with default parameters.

```APIDOC
## VOSLayoutAlgorithm()

### Description
Constructs a VOS layout algorithm.

### Method
`VOSLayoutAlgorithm()`
```

--------------------------------

### capacity

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.html

Gets the current capacity of the array.

```APIDOC
## `long capacity()`

### Description
Gets the current capacity of the array.

### Method
`long`

### Returns
The capacity of the array.
```

--------------------------------

### Instance Methods

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Network.html

Methods available on an instance of the Network class.

```APIDOC
## Instance Methods

### checkIntegrity()

Checks the integrity of the network.

### createNetworkWithoutEdgeWeights()

Creates a copy of the network, but without edge weights.

### createNetworkWithoutNodeAndEdgeWeights()

Creates a copy of the network, but without node and edge weights.

### createNetworkWithoutNodeWeights()

Creates a copy of the network, but without node weights.
```

--------------------------------

### length

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeBooleanArray.html

Gets the length of a specific segment.

```APIDOC
## length(segment)

### Description
Gets the length of the indicated segment.

### Parameters
#### Path Parameters
- **segment** (int) - Segment

### Returns
- **Length of segment** (int)
```

--------------------------------

### Method Summary

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/GradientDescentVOSLayoutAlgorithm.html

Provides a summary of the instance methods available for the GradientDescentVOSLayoutAlgorithm.

```APIDOC
## Method Summary

### `clone()`

Clones the algorithm.

### `findLayout(Network network)`

Finds a layout using the gradient descent VOS layout algorithm.

### `getInitialStepSize()`

Returns the initial step size.

### `getMaxNIterations()`

Returns the maximum number of iterations.

### `getMinStepSize()`

Returns the minimum step size.

### `getRequiredNQualityValueImprovements()`

Returns the required number of quality value improvements.
```

--------------------------------

### Run Network Layout Tool

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/README.md

Execute the RunNetworkLayout tool to determine a network layout using the gradient descent VOS algorithm. Specify the JAR file and the main class. Options include quality function, normalization, attraction, repulsion, and iteration parameters.

```bash
java -cp networkanalysis-1.3.0.jar nl.cwts.networkanalysis.run.RunNetworkLayout
```

```text
RunNetworkLayout version 1.3.0
By Nees Jan van Eck and Ludo Waltman
Centre for Science and Technology Studies (CWTS), Leiden University

Usage: RunNetworkLayout [options] <filename>

Determine a layout for a network using the gradient descent VOS layout
algorithm.

The file in <filename> is expected to contain a tab-separated edge list
(without a header line). Nodes are represented by zero-index integer numbers.
Only undirected networks are supported. Each edge should be included only once
in the file.

Options:
-q --quality-function {VOS|LinLog} (default: VOS)
    Quality function to be optimized. Either the VOS (visualization of
    similarities) or the LinLog quality function can be used.
-n --normalization {none|AssociationStrength|Fractionalization} (Default: none)
    Method for normalizing edge weights in the VOS quality function.
-a --attraction <attraction> (Default: 2)
    Attraction parameter of the VOS quality function.
-r --repulsion <repulsion> (default: 1)
    Repulsion parameter of the VOS quality function.
-s --random-starts <random starts> (default: 1)
    Number of random starts of the gradient descent algorithm.
-i --max-iterations <max. iterations> (default: 1000)
    Maximum number of iterations of the gradient descent algorithm.
--initial-step-size <initial step size> (default: 1.0)
    Initial step size of the gradient descent algorithm.
```

--------------------------------

### LargeLongArray.iterator

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Method to get an iterator for all elements of a LargeLongArray.

```APIDOC
## LargeLongArray.iterator

### Description
Method to get an iterator for all elements of a LargeLongArray.

### Method
`iterator()`

Iterates over all elements.
```

--------------------------------

### load

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Layout.html

Loads a layout from a file.

```APIDOC
## load

### Description
Loads a layout from a file.

### Method
`public static Layout load(String fileName)`

### Endpoint
N/A (Static method)

### Parameters
#### Path Parameters
N/A

#### Query Parameters
N/A

#### Request Body
N/A

### Parameters
*   **fileName** (String) - Required - File from which a layout is loaded

### Returns
*   **Layout** - Loaded layout

### Throws
*   `java.lang.ClassNotFoundException` - Class not found
*   `java.io.IOException` - Could not read the file

### See Also
*   `save(String fileName)`
```

--------------------------------

### LargeIntArray.iterator

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Method to get an iterator for all elements of a LargeIntArray.

```APIDOC
## LargeIntArray.iterator

### Description
Method to get an iterator for all elements of a LargeIntArray.

### Method
`iterator()`

Iterates over all elements.
```

--------------------------------

### LouvainAlgorithm Methods

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/LouvainAlgorithm.html

Details the methods available for the LouvainAlgorithm, including cloning, retrieving the local moving algorithm, and setting the resolution.

```APIDOC
## clone()

### Description
Clones the algorithm.

### Method
public LouvainAlgorithm clone()

### Returns
#### Success Response
- **LouvainAlgorithm** - Cloned algorithm

## getLocalMovingAlgorithm()

### Description
Returns the local moving algorithm.

### Method
public IncrementalCPMClusteringAlgorithm getLocalMovingAlgorithm()

### Returns
#### Success Response
- **IncrementalCPMClusteringAlgorithm** - Local moving algorithm

## setResolution(double resolution)

### Description
Sets the resolution parameter. Also sets the resolution parameter for the local moving algorithm.

### Method
public void setResolution(double resolution)

### Parameters
#### Path Parameters
- **resolution** (double) - Resolution parameter
```

--------------------------------

### GradientDescentVOSLayoutAlgorithm Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/GradientDescentVOSLayoutAlgorithm.html

Provides documentation for the different constructors of the GradientDescentVOSLayoutAlgorithm class, allowing for flexible initialization with default or custom parameters.

```APIDOC
## GradientDescentVOSLayoutAlgorithm()

### Description
Constructs a gradient descent VOS layout algorithm with default parameters.

### Constructor
`public GradientDescentVOSLayoutAlgorithm()`

## GradientDescentVOSLayoutAlgorithm(Random random)

### Description
Constructs a gradient descent VOS layout algorithm with a specified random number generator.

### Constructor
`public GradientDescentVOSLayoutAlgorithm(Random random)`

### Parameters
*   **random** (Random) - Required - Random number generator.

## GradientDescentVOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement, Random random)

### Description
Constructs a gradient descent VOS layout algorithm for a specified attraction parameter, repulsion parameter, and edge weight increment parameter, along with a random number generator.

### Constructor
`public GradientDescentVOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement, Random random)`

### Parameters
*   **attraction** (int) - Required - Attraction parameter.
*   **repulsion** (int) - Required - Repulsion parameter.
*   **edgeWeightIncrement** (double) - Required - Edge weight increment parameter.
*   **random** (Random) - Required - Random number generator.

## GradientDescentVOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement, int maxNIterations, double initialStepSize, double minStepSize, double stepSizeReduction, int requiredNQualityValueImprovements, Random random)

### Description
Constructs a gradient descent VOS layout algorithm with a comprehensive set of parameters, including attraction, repulsion, edge weight increment, iteration limits, step size controls, quality improvement requirements, and a random number generator.

### Constructor
`public GradientDescentVOSLayoutAlgorithm(int attraction, int repulsion, double edgeWeightIncrement, int maxNIterations, double initialStepSize, double minStepSize, double stepSizeReduction, int requiredNQualityValueImprovements, Random random)`

### Parameters
*   **attraction** (int) - Required - Attraction parameter.
*   **repulsion** (int) - Required - Repulsion parameter.
*   **edgeWeightIncrement** (double) - Required - Edge weight increment parameter.
*   **maxNIterations** (int) - Required - Maximum number of iterations.
*   **initialStepSize** (double) - Required - Initial step size.
*   **minStepSize** (double) - Required - Minimum step size.
*   **stepSizeReduction** (double) - Required - Step size reduction.
*   **requiredNQualityValueImprovements** (int) - Required - Required number of quality value improvements.
*   **random** (Random) - Required - Random number generator.
```

--------------------------------

### LouvainAlgorithm()

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/LouvainAlgorithm.html

Constructs a Louvain algorithm with default parameters.

```APIDOC
## LouvainAlgorithm()

### Description
Constructs a Louvain algorithm.

### Method
Constructor

### Endpoint
N/A

### Parameters
None

### Request Example
None

### Response
#### Success Response
- **LouvainAlgorithm** - An instance of the Louvain algorithm.
```

--------------------------------

### LargeLongArray.FromIterable.iterator

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Method to get an iterator for a LargeLongArray created from an iterable.

```APIDOC
## LargeLongArray.FromIterable.iterator

### Description
Method to get an iterator for a LargeLongArray created from an iterable.

### Method
`iterator()`

Returns an iterator for the array.
```

--------------------------------

### Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Provides details on how to initialize a LargeDoubleArray.

```APIDOC
## Constructors

### `LargeDoubleArray(double[] values)`

Constructs a new array copying the values of the supplied array.

### `LargeDoubleArray(long size)`

Constructs a new empty array of specified size.

### `LargeDoubleArray(long size, double constant)`

Constructs a new array of indicated size with all elements set to a constant value.
```

--------------------------------

### getSegment(long) - LargeLongArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the segment of the index for a LargeLongArray.

```APIDOC
## getSegment(long)

### Description
Gets the segment of the index.

### Method
Static method

### Class
nl.cwts.util.LargeLongArray
```

--------------------------------

### getSegment(long) - LargeIntArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the segment of the index for a LargeIntArray.

```APIDOC
## getSegment(long)

### Description
Gets the segment of the index.

### Method
Static method

### Class
nl.cwts.util.LargeIntArray
```

--------------------------------

### getSegment(long) - LargeDoubleArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the segment of the index for a LargeDoubleArray.

```APIDOC
## getSegment(long)

### Description
Gets the segment of the index.

### Method
Static method

### Class
nl.cwts.util.LargeDoubleArray
```

--------------------------------

### load

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Network.html

Loads a network from a specified file.

```APIDOC
## load

### Description
Loads a network from a file.

### Method
POST (assumed, as it modifies state)

### Endpoint
/network/load

### Parameters
#### Request Body
- **filename** (string) - Required - The name of the file to load the network from.
```

--------------------------------

### getSegment(long) - LargeBooleanArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the segment of the index for a LargeBooleanArray.

```APIDOC
## getSegment(long)

### Description
Gets the segment of the index.

### Method
Static method

### Class
nl.cwts.util.LargeBooleanArray
```

--------------------------------

### ComponentsAlgorithm Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/ComponentsAlgorithm.html

Constructs a new ComponentsAlgorithm instance.

```APIDOC
## ComponentsAlgorithm()

### Description
Constructs a components algorithm.

### Constructor
`ComponentsAlgorithm()`
```

--------------------------------

### clone()

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/LouvainAlgorithm.html

Creates a copy of the current Louvain algorithm instance.

```APIDOC
## clone()

### Description
Clones the algorithm, creating a deep copy of the current Louvain algorithm instance.

### Method
Instance Method

### Endpoint
N/A

### Parameters
None

### Request Example
None

### Response
#### Success Response
- **LouvainAlgorithm** - A new instance of the Louvain algorithm that is a clone of the original.
```

--------------------------------

### LargeLongArray.FromToIterable.iterator

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Method to get an iterator for a LargeLongArray created from a range iterable.

```APIDOC
## LargeLongArray.FromToIterable.iterator

### Description
Method to get an iterator for a LargeLongArray created from a range iterable.

### Method
`iterator()`

Returns an iterator for the array.
```

--------------------------------

### LargeIntArray.FromToIterable.iterator

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Method to get an iterator for a LargeIntArray created from a range iterable.

```APIDOC
## LargeIntArray.FromToIterable.iterator

### Description
Method to get an iterator for a LargeIntArray created from a range iterable.

### Method
`iterator()`

Returns an iterator for the array.
```

--------------------------------

### Compile Network Analysis Package (Windows)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/README.md

Compiles the networkanalysis package source code on Windows using Gradle Wrapper.

```bash
gradlew build
```

--------------------------------

### Clustering Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Clustering.html

Provides information on how to create Clustering objects.

```APIDOC
## Clustering(int nNodes)

### Description
Constructs a singleton clustering for a specified number of nodes.

### Constructor
`Clustering(int nNodes)`

### Parameters
* **nNodes** (int) - The number of nodes in the network.
```

```APIDOC
## Clustering(int[] clusters)

### Description
Constructs a clustering using a specified cluster for each node.

### Constructor
`Clustering(int[] clusters)`

### Parameters
* **clusters** (int[]) - An array where each element represents the cluster assignment for a node.
```

--------------------------------

### capacity() - LargeBooleanArray

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the capacity of the LargeBooleanArray. This is a method of the LargeBooleanArray class.

```APIDOC
## capacity()

### Description
Gets capacity of the array.

### Method
(Not specified, likely a class method)

### Endpoint
(Not applicable, this is a Java method)

### Parameters
(None)

### Response
(Not specified)
```

--------------------------------

### get (by index)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Retrieves the value of an element using its overall index.

```APIDOC
## get (by index)

### Description
Gets value element based on long index.

### Method
public long get(long index)

### Parameters
#### Path Parameters
- **index** (long) - Index of element

### Returns
- **Value of element** (long) - Value of element
```

--------------------------------

### LouvainAlgorithm(double resolution, int nIterations, IncrementalCPMClusteringAlgorithm localMovingAlgorithm)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/LouvainAlgorithm.html

Constructs a Louvain algorithm with a specified resolution, number of iterations, and local moving algorithm.

```APIDOC
## LouvainAlgorithm(double resolution, int nIterations, IncrementalCPMClusteringAlgorithm localMovingAlgorithm)

### Description
Constructs a Louvain algorithm for a specified resolution parameter, number of iterations, and local moving algorithm.

### Method
Constructor

### Endpoint
N/A

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Request Example
None

### Response
#### Success Response
- **LouvainAlgorithm** - An instance of the Louvain algorithm configured with the provided parameters.
```

--------------------------------

### get (index)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Retrieves an element using its overall long index.

```APIDOC
## get (index)

### Description
Gets value element based on long index.

### Parameters
* **index** (long) - The overall index of the element.

### Returns
* The long value at the specified index.
```

--------------------------------

### LeidenAlgorithm Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/LeidenAlgorithm.html

Provides details on how to construct a LeidenAlgorithm object with various parameters.

```APIDOC
## LeidenAlgorithm()

### Description
Constructs a Leiden algorithm.

### Method
Constructor

## LeidenAlgorithm(Random random)

### Description
Constructs a Leiden algorithm.

### Method
Constructor

### Parameters
#### Path Parameters
- **random** (Random) - Required - Random number generator

## LeidenAlgorithm(double resolution, int nIterations, double randomness, Random random)

### Description
Constructs a Leiden algorithm for a specified resolution parameter, number of iterations, and randomness parameter.

### Method
Constructor

### Parameters
#### Path Parameters
- **resolution** (double) - Required - Resolution parameter
- **nIterations** (int) - Required - Number of iterations
- **randomness** (double) - Required - Randomness parameter
- **random** (Random) - Required - Random number generator

## LeidenAlgorithm(double resolution, int nIterations, double randomness, IncrementalCPMClusteringAlgorithm localMovingAlgorithm, Random random)

### Description
Constructs a Leiden algorithm for a specified resolution parameter, number of iterations, randomness parameter, and local moving algorithm.

### Method
Constructor

### Parameters
#### Path Parameters
- **resolution** (double) - Required - Resolution parameter
- **nIterations** (int) - Required - Number of iterations
- **randomness** (double) - Required - Randomness parameter
- **localMovingAlgorithm** (IncrementalCPMClusteringAlgorithm) - Required - Local moving algorithm
- **random** (Random) - Required - Random number generator
```

--------------------------------

### get(long index)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeBooleanArray.html

Retrieves the boolean value at a specified long index.

```APIDOC
## get(index)

### Description
Gets value element based on long index.

### Parameters
#### Path Parameters
- **index** (long) - Index of element

### Returns
- **Value of element** (boolean)
```

--------------------------------

### GradientDescentVOSLayoutAlgorithm(int, int, double, int, double, double, double, int, Random)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Constructs a gradient descent VOS layout algorithm with detailed parameters for attraction, repulsion, edge weight increment, iterations, step size, and quality improvements.

```APIDOC
## GradientDescentVOSLayoutAlgorithm(int, int, double, int, double, double, double, int, Random)

### Description
Constructs a gradient descent VOS layout algorithm for a specified attraction parameter, repulsion parameter, edge weight increment parameter, maximum number of iterations, initial step size, minimum step size, step size reduction, and required number of quality value improvements.

### Method
Constructor

### Class
nl.cwts.networkanalysis.GradientDescentVOSLayoutAlgorithm
```

--------------------------------

### LargeLongArray.FromIterable Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.FromIterable.html

Constructs a new LargeLongArray.FromIterable instance that starts from the specified long value.

```APIDOC
## FromIterable(long from)

### Description
Constructs a new LargeLongArray.FromIterable instance that starts from the specified long value.

### Parameters
#### Path Parameters
- **from** (long) - The starting long value for the iterable sequence.
```

--------------------------------

### StandardLocalMovingAlgorithm Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/StandardLocalMovingAlgorithm.html

Constructors for the StandardLocalMovingAlgorithm class.

```APIDOC
## StandardLocalMovingAlgorithm()

### Description
Constructs a standard local moving algorithm.

### Constructor
`StandardLocalMovingAlgorithm()`

## StandardLocalMovingAlgorithm(double resolution, Random random)

### Description
Constructs a standard local moving algorithm for a specified resolution parameter.

### Constructor
`StandardLocalMovingAlgorithm(double resolution, java.util.Random random)`
```

--------------------------------

### setInitialStepSize(double)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Sets the initial step size for the Gradient Descent VOS Layout Algorithm.

```APIDOC
## setInitialStepSize(double)

### Description
Sets the initial step size.

### Method
Not specified (likely a Java method call)

### Endpoint
Not applicable (this appears to be a library method, not an HTTP endpoint)

### Parameters
* **stepSize** (double) - The initial step size value.
```

--------------------------------

### getOffset(long)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Gets the offset within a particular segment of the index for large arrays.

```APIDOC
## getOffset(long)

### Description
Gets the offset within a particular segment of the index.

### Method
Static method call

### Parameters
#### Path Parameters
- **index** (long) - Required - The index value.
```

--------------------------------

### capacity

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Gets the current capacity of the array. The capacity is always greater than or equal to the size.

```APIDOC
## capacity()

### Description
Gets capacity of array.

### Returns
- **long** - Capacity
```

--------------------------------

### GradientDescentVOSLayoutAlgorithm()

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/index-all.html

Constructs a gradient descent VOS layout algorithm.

```APIDOC
## GradientDescentVOSLayoutAlgorithm()

### Description
Constructs a gradient descent VOS layout algorithm.

### Method
Constructor

### Class
nl.cwts.networkanalysis.GradientDescentVOSLayoutAlgorithm
```

--------------------------------

### StandardLocalMovingAlgorithm Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/StandardLocalMovingAlgorithm.html

Constructs a standard local moving algorithm. Multiple constructors are available to initialize the algorithm with or without a specific resolution parameter and random number generator.

```APIDOC
## Constructors

### StandardLocalMovingAlgorithm()

Constructs a standard local moving algorithm.

### StandardLocalMovingAlgorithm(Random random)

Constructs a standard local moving algorithm.

**Parameters:**
- **random** (Random) - Random number generator

### StandardLocalMovingAlgorithm(double resolution, Random random)

Constructs a standard local moving algorithm for a specified resolution parameter.

**Parameters:**
- **resolution** (double) - Resolution parameter
- **random** (Random) - Random number generator
```

--------------------------------

### size

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Gets the current size of the array. The size is always less than or equal to the capacity.

```APIDOC
## size()

### Description
Gets size of array.

### Returns
- **long** - Size
```

--------------------------------

### RunNetworkLayout Class

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/run/package-frame.html

Manages the generation of network layouts.

```APIDOC
## RunNetworkLayout Class

### Description
Manages the generation of network layouts.

### Methods
(No specific methods are detailed in the provided source for direct user invocation.)

### Usage
This class is used to generate visual layouts for network structures.
```

--------------------------------

### get (segment, offset)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.html

Retrieves an element using its segment and offset within that segment.

```APIDOC
## get (segment, offset)

### Description
Gets value element based on segment and offset.

### Parameters
* **segment** (int) - The segment index.
* **offset** (int) - The offset within the segment.

### Returns
* The long value at the specified segment and offset.
```

--------------------------------

### from

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Creates an iterable view of the LargeDoubleArray starting from a specified index. This is useful for iterating over a portion of the array.

```APIDOC
## from

### Description
Iterates over all elements, starting from the indicated element.

### Method
Not specified (likely a static method or constructor).

### Parameters
#### Path Parameters
- **from** (long) - The starting index for iteration.
```

--------------------------------

### Run Network Clustering Tool (Compiled JAR)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/README.md

Executes the RunNetworkClustering tool using a compiled JAR file. Replace <version> with the actual version number.

```bash
java -cp build/libs/networkanalysis-<version>.jar nl.cwts.networkanalysis.run.RunNetworkClustering
```

--------------------------------

### LargeIntArray.FromIterable Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.FromIterable.html

Constructs a new LargeIntArray.FromIterable instance that starts iterating from the specified long value.

```APIDOC
## Constructor: FromIterable

### Description

Constructs a new `LargeIntArray.FromIterable` instance that starts iterating from the specified long value.

### Parameters

#### Path Parameters

- **from** (long) - The starting value for the iteration.
```

--------------------------------

### Instance Methods

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Details the instance methods available for interacting with a LargeDoubleArray object.

```APIDOC
## Instance Methods

### `void add(long index, double addition)`

Adds `addition` to the existing element at the specified `index`.

### `void append(double value)`

Appends a specified `value` to the end of the array.

### `long binarySearch(double value)`

Searches for the specified `value` using binary search within the entire array.

### `long binarySearch(long from, long to, double value)`

Searches for the specified `value` using binary search within the indicated range [`from`, `to`).

### `double calcAverage()`

Calculates the average of all elements in the array.

### `double calcMaximum()`

Calculates the maximum value among all elements in the array.

### `double calcMinimum()`

Calculates the minimum value among all elements in the array.

### `double calcSum()`

Calculates the sum of all elements in the array.

### `double calcSum(long from, long to)`

Calculates the sum of all elements within the indicated range [`from`, `to`).

### `long capacity()`

Gets the current capacity of the array.

### `void clear()`

Removes all elements from the array, resetting it to an empty state.

### `LargeDoubleArray clone()`

Creates and returns a shallow copy (clone) of the array.
```

--------------------------------

### Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeBooleanArray.html

Provides information on how to create new LargeBooleanArray instances.

```APIDOC
## Constructors

### `LargeBooleanArray(boolean[] values)`

**Description**: Constructs a new array by copying the values from the supplied boolean array.

### `LargeBooleanArray(long size)`

**Description**: Constructs a new, empty array with the specified size.

### `LargeBooleanArray(long size, boolean constant)`

**Description**: Constructs a new array of the indicated size, with all elements initialized to the specified constant boolean value.
```

--------------------------------

### get(int segment, int offset)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeBooleanArray.html

Retrieves the boolean value at a specified segment and offset.

```APIDOC
## get(segment, offset)

### Description
Gets value element based on segment and offset.

### Parameters
#### Path Parameters
- **segment** (int) - Segment of element
- **offset** (int) - Offset of element

### Returns
- **Value of element** (boolean)
```

--------------------------------

### removeEmptyClustersLargerThan

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Clustering.html

Removes empty clusters and relabels clusters consecutively, starting from a specified minimum cluster number.

```APIDOC
## removeEmptyClustersLargerThan

### Description
Removes empty clusters and relabels clusters to follow consecutive numbering only for clusters larger than the specified minimum number of clusters. Each empty cluster larger that `minimumCluster` is reassigned to the lowest available cluster, in the order of the existing clusters. For example, if `minimumCluster = 5` and cluster 2 and 7 are empty, then cluster 8 is relabeled to 7 (and 9 to 8, etc...), but clusters 0-4 remain as they are.

### Method
public void removeEmptyClustersLargerThan(int minimumCluster)

### Parameters
#### Path Parameters
- **minimumCluster** (int) - Required - Minimum cluster to start relabeling from
```

--------------------------------

### LargeDoubleArray.FromIterable

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.FromIterable.html

Represents an iterable view of a LargeDoubleArray starting from a specified index. It implements the Iterable<Double> interface.

```APIDOC
## Class LargeDoubleArray.FromIterable

* java.lang.Object
* *   nl.cwts.util.LargeDoubleArray.FromIterable

* All Implemented Interfaces:
    
    java.lang.Iterable<java.lang.Double>
    
    Enclosing class:
    
    [LargeDoubleArray](../../../nl/cwts/util/LargeDoubleArray.html "class in nl.cwts.util")
    
    * * *
    
      
    
    public class LargeDoubleArray.FromIterable
    extends java.lang.Object
    implements java.lang.Iterable<java.lang.Double>
    
    Iterable starting from a certain element.
    

* *   ### Constructor Summary
        
        Constructors 
        
        Constructor and Description
        
        `[FromIterable](../../../nl/cwts/util/LargeDoubleArray.FromIterable.html#FromIterable-long-)(long from)`
        
    
    * *   ### Method Summary
        
        All Methods [Instance Methods](javascript:show(2);) [Concrete Methods](javascript:show(8);) 
        
        Modifier and Type
        
        Method and Description
        
        `java.util.Iterator<java.lang.Double>`
        
        `[iterator](../../../nl/cwts/util/LargeDoubleArray.FromIterable.html#iterator--)()`
        
        * *   ### Constructor Detail
        
        *   #### FromIterable
            
            public FromIterable(long from)
            
    
    * *   ### Method Detail
        
        *   #### iterator
            
            public java.util.Iterator<java.lang.Double> iterator()
            
            Specified by:
            
            `iterator` in interface `java.lang.Iterable<java.lang.Double>`
```

--------------------------------

### save

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Layout.html

Saves the layout in a file.

```APIDOC
## save

### Description
Saves the layout in a file.

### Method
`public void save(String fileName)`

### Endpoint
N/A

### Parameters
#### Path Parameters
N/A

#### Query Parameters
N/A

#### Request Body
N/A

### Parameters
*   **fileName** (String) - Required - File in which the layout is saved

### Throws
*   `java.io.IOException` - Could not write to the file

### See Also
*   `load(String fileName)`
```

--------------------------------

### LargeDoubleArray.FromToIterable Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.FromToIterable.html

Constructs a new FromToIterable instance specifying the start and end indices (inclusive) of the range.

```APIDOC
## FromToIterable(long from, long to)

### Description
Constructs a new `FromToIterable` instance specifying the start and end indices (inclusive) of the range.

### Parameters
* **from** (long) - The starting index of the range.
* **to** (long) - The ending index of the range.
```

--------------------------------

### FastLocalMovingAlgorithm Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/FastLocalMovingAlgorithm.html

Constructs a fast local moving algorithm for a specified resolution parameter and number of iterations.

```APIDOC
## FastLocalMovingAlgorithm Constructor

### Description
Constructs a fast local moving algorithm for a specified resolution parameter and number of iterations.

### Parameters
#### Path Parameters
- **resolution** (double) - Required - Resolution parameter
- **nIterations** (int) - Required - Number of iterations
- **random** (java.util.Random) - Required - Random number generator
```

--------------------------------

### size

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeBooleanArray.html

Gets the current size of the LargeBooleanArray. The size represents the number of elements currently stored in the array.

```APIDOC
## size

### Description
Gets the current size of the LargeBooleanArray.

### Method
long

### Endpoint
size()
```

--------------------------------

### FastLocalMovingAlgorithm Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/FastLocalMovingAlgorithm.html

Constructs a fast local moving algorithm with specified resolution, iterations, and random number generator.

```java
public FastLocalMovingAlgorithm(double resolution,
                                            int nIterations,
                                            java.util.Random random)
```

--------------------------------

### initRandomCoordinates

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Layout.html

Initializes a random layout.

```APIDOC
## initRandomCoordinates

### Description
Initializes a random layout.

### Methods

#### `initRandomCoordinates()`
Initializes a random layout.

#### `initRandomCoordinates(java.util.Random random)`
Initializes a random layout with a specified random number generator.

*   **Parameters**:
    *   `random` (java.util.Random) - Required - The random number generator to use.
```

--------------------------------

### LargeLongArray.FromToIterable Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeLongArray.FromToIterable.html

Constructs a new FromToIterable instance that iterates from a specified start value to a specified end value.

```APIDOC
## FromToIterable(long from, long to)

### Description
Constructs a new FromToIterable instance that iterates from a specified start value to a specified end value.

### Parameters
*   **from** (long) - The starting value of the iterable range.
*   **to** (long) - The ending value of the iterable range.
```

--------------------------------

### nSegments

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Gets the total number of segments currently used by the LargeDoubleArray. This provides information about the internal structure of the array.

```APIDOC
## nSegments

### Description
Gets the number of segments.

### Method
Not specified (likely a method call on a LargeDoubleArray instance).

### Response
#### Success Response
- Returns the number of segments as an integer.
```

--------------------------------

### Network Constructors

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/Network.html

Several constructors are available to create a Network object based on different input formats for nodes, edges, and weights.

```APIDOC
## Network Constructors

### Network(double[] nodeWeights, LargeIntArray[] edges, boolean sortedEdges, boolean checkIntegrity)

Constructs a network based on a list of edges.

### Network(double[] nodeWeights, LargeIntArray[] edges, LargeDoubleArray edgeWeights, boolean sortedEdges, boolean checkIntegrity)

Constructs a network based on a list of edges.

### Network(double[] nodeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, boolean checkIntegrity)

Constructs a network based on a list of neighbors.

### Network(double[] nodeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, LargeDoubleArray edgeWeights, boolean checkIntegrity)

Constructs a network based on a list of neighbors.

### Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, LargeIntArray[] edges, boolean sortedEdges, boolean checkIntegrity)

Constructs a network based on a list of edges.

### Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, LargeIntArray[] edges, LargeDoubleArray edgeWeights, boolean sortedEdges, boolean checkIntegrity)

Constructs a network based on a list of edges.

### Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, boolean checkIntegrity)

Constructs a network based on a list of neighbors.

### Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, LargeDoubleArray edgeWeights, boolean checkIntegrity)

Constructs a network based on a list of neighbors.
```

--------------------------------

### calcSum(long from, long to)

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeDoubleArray.html

Calculates and returns the sum of elements within a specified range (inclusive start, exclusive end).

```APIDOC
## calcSum(long from, long to)

### Description
Calculates the sum of all elements in the indicated range.

### Method
public double calcSum(long from, long to)

### Parameters
#### Path Parameters
* **from** (long) - From index, inclusive
* **to** (long) - To index, exclusive

### Returns
* **Sum** (double)
```

--------------------------------

### clone Method

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/networkanalysis/GradientDescentVOSLayoutAlgorithm.html

Provides documentation for the clone method, which creates a copy of the current GradientDescentVOSLayoutAlgorithm instance.

```APIDOC
## clone()

### Description
Clones the algorithm, creating a new instance with the same configuration.

### Method
`public GradientDescentVOSLayoutAlgorithm clone()`

### Returns
A new `GradientDescentVOSLayoutAlgorithm` instance that is a copy of the current one.
```

--------------------------------

### Constructor

Source: https://github.com/cwtsleiden/networkanalysis/blob/master/docs/nl/cwts/util/LargeIntArray.FromToIterable.html

Initializes a new instance of the LargeIntArray.FromToIterable class.

```APIDOC
## FromToIterable(long from, long to)

### Description
Constructs an iterable range of integers starting from `from` and ending at `to`.

### Parameters
* **from** (long) - The starting value of the range.
* **to** (long) - The ending value of the range.
```