NonlinearProgram.ConstraintJacobianFunction Property

Namespace: Numerics.NET.Optimization
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.9.0

C# Copy

public Func<Vector<double>, Matrix<double>?, Matrix<double>>? ConstraintJacobianFunction { get; set; }

Visual Basic Copy

Public Property ConstraintJacobianFunction As Func(Of Vector(Of Double), Matrix(Of Double), Matrix(Of Double))
	Get
	Set

C++/CLI Copy

public:
property Func<Vector<double>^, Matrix<double>^, Matrix<double>^>^ ConstraintJacobianFunction {
	Func<Vector<double>^, Matrix<double>^, Matrix<double>^>^ get ();
	void set (Func<Vector<double>^, Matrix<double>^, Matrix<double>^>^ value);
}

F# Copy

member ConstraintJacobianFunction : Func<Vector<float>, Matrix<float>, Matrix<float>> with get, set

Property Value

Func<Vector<Double>, Matrix<Double>, Matrix<Double>>
A function receiving the point and a reusable matrix, or null to use constraint gradients.

The first call of each solve receives a null matrix. Return a nonnull matrix with one row per original constraint and one column per variable. Update the supplied matrix or return a replacement; overwrite entries that change, including entries becoming zero. Sparse SQP snapshots the initial stored structure, including stored zeros. Include all positions that can become nonzero; later growth is rejected. Dense SQP uses the same callback. Do not modify or retain the point. Callbacks must support trial points outside bounds for sparse SQP. Set this property before solving.