BandJacobianMatrixEvaluator (FsODE)

FsODE

Documentation for 0.0.2

BandJacobianMatrixEvaluator Type

Namespace: Altaxo.Calc.Ode
Assembly: AltaxoCore.Redist.dll
Base Type: obj

Approximates the jacobian matrix using finite differences (assuming the jacobian is a band matrix with a fixed lower and upper bandwidth).

Constructors

Constructor Description

Constructor	Description
`BandJacobianMatrixEvaluator(f, lowerBandwidth, upperBandwidth)` Full Usage: `BandJacobianMatrixEvaluator(f, lowerBandwidth, upperBandwidth)` Parameters: f : `Action<float, float[], float[]>` - The function to calculate the derivatives. First argument is the independent variable (usually designated with x or t), 2nd argument is the array of y values, and the third array accomodates the calculated derivatives dy/dx. lowerBandwidth : `int` - The lower bandwidth of the band matrix. upperBandwidth : `int` - The upper bandwidth of the band matrix.	Initializes a new instance of the DenseJacobianMatrixEvaluator class. f : `Action<float, float[], float[]>` The function to calculate the derivatives. First argument is the independent variable (usually designated with x or t), 2nd argument is the array of y values, and the third array accomodates the calculated derivatives dy/dx. lowerBandwidth : `int` The lower bandwidth of the band matrix. upperBandwidth : `int` The upper bandwidth of the band matrix.


                
                  
                    
                      BandJacobianMatrixEvaluator(f, lowerBandwidth, upperBandwidth)

Full Usage: BandJacobianMatrixEvaluator(f, lowerBandwidth, upperBandwidth)

Parameters:

f : Action<float, float[], float[]> - The function to calculate the derivatives. First argument is the independent variable (usually designated with x or t), 2nd argument is the array of y values, and the third array accomodates the calculated derivatives dy/dx.

lowerBandwidth : int - The lower bandwidth of the band matrix.

upperBandwidth : int - The upper bandwidth of the band matrix.

Initializes a new instance of the DenseJacobianMatrixEvaluator class.

f : Action<float, float[], float[]>: The function to calculate the derivatives. First argument is the independent variable (usually designated with x or t), 2nd argument is the array of y values, and the third array accomodates the calculated derivatives dy/dx.
lowerBandwidth : int: The lower bandwidth of the band matrix.
upperBandwidth : int: The upper bandwidth of the band matrix.

Instance members

Instance member	Description
`this.EvaluateJacobian` Full Usage: `this.EvaluateJacobian` Parameters: x : `float` - The value of the independent variable (usually named x or t). y : `float[]` - The array of y values. jac : `byref<IMatrix<float>>` - At return, contains the matrix with jacobian values. If you provide null as this parameter, a new matrix is allocated.	Evaluates the jacobian matrix. x : `float` The value of the independent variable (usually named x or t). y : `float[]` The array of y values. jac : `byref<IMatrix<float>>` At return, contains the matrix with jacobian values. If you provide null as this parameter, a new matrix is allocated.