DenseJacobianMatrixEvaluator (FsODE)

FsODE

Approximates the jacobian matrix using finite differences (assuming the jacobian is a dense matrix).

Constructor	Description
`DenseJacobianMatrixEvaluator(f)` Full Usage: `DenseJacobianMatrixEvaluator(f)` 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.	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.

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.