DoubleNonnegativeLeastSqResult Class

Class containing the results of a nonnegative least squares solve attempt. Double precision version.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CoreDoubleNonnegativeLeastSqResult

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

[SerializableAttribute]
public class DoubleNonnegativeLeastSqResult : ICloneable

<SerializableAttribute>
Public Class DoubleNonnegativeLeastSqResult
	Implements ICloneable

[SerializableAttribute]
public ref class DoubleNonnegativeLeastSqResult : ICloneable

[<SerializableAttribute>]
type DoubleNonnegativeLeastSqResult = 
    class
        interface ICloneable
    end

The DoubleNonnegativeLeastSqResult type exposes the following members.

Constructors

	Name	Description
	DoubleNonnegativeLeastSqResult	Construction an empty DoubleNonnegativeLeastSqResult object.

Properties

	Name	Description
	AlgorithmTermination	The algorithm termination status.
	Iterations	Gets the number of iterations performed by the algorithm.
	MaxIterations	Gets the maximum number of iterations performed by the algorithm. Default is FloatNonnegativeLeastSquares.DEFAULT_MAX_ITERATIONS = 100000.
	RankDeficiencyDetected	If a rank deficiency was detected while solving an unconstrained least squares problem during the nonnegative least squares iterative algorithm, true is returned.
	Residuals	Gets the vector of residuals. If y is the right-hand side of the least squares equation Ax = y, and we denote by yhat the vector Ax where x is the computed least squares solution, then the vector of residuals r is the vector whose ith component is r[i] = y[i] - yhat[i].
	ResidualSumOfSquares	Gets the residual sum of squares. If y is the right-hand side of the least squares equation Ax = y, and we denote by yhat the vector Ax where x is the computed least squares solution, then the residual sum of squares is defined to be (y[0] - yhat[0])^2 + (y[1] - yhat[1])^2 + ... + (y[m-1] - yhat[m-1])^2.
	Solution	Gets the nonnegative least squares solution x for the least squares problem
	Tolerance	The specified tolerance for the solve.
	Yhat	Gets the predicted value of y by computing yHat = Ax, where x is the calculated solution to the least squares problem Ax = y.

Methods

	Name	Description
	Clone	IClonable interface. Returns a deep copy of self.