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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

The DoubleNonnegativeLeastSqResult type exposes the following members.

Constructors
 NameDescription
Public methodDoubleNonnegativeLeastSqResult Construction an empty DoubleNonnegativeLeastSqResult object.
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Properties
 NameDescription
Public propertyAlgorithmTermination The algorithm termination status.
Public propertyIterations Gets the number of iterations performed by the algorithm.
Public propertyMaxIterations Gets the maximum number of iterations performed by the algorithm. Default is FloatNonnegativeLeastSquares.DEFAULT_MAX_ITERATIONS = 100000.
Public propertyRankDeficiencyDetected If a rank deficiency was detected while solving an unconstrained least squares problem during the nonnegative least squares iterative algorithm, true is returned.
Public propertyResiduals 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].
Public propertyResidualSumOfSquares 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.
Public propertySolution Gets the nonnegative least squares solution x for the least squares problem
Public propertyTolerance The specified tolerance for the solve.
Public propertyYhat Gets the predicted value of y by computing yHat = Ax, where x is the calculated solution to the least squares problem Ax = y.
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Methods
 NameDescription
Public methodClone IClonable interface. Returns a deep copy of self.
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See Also