 | DoubleNonnegativeLeastSqResult Class |
Class containing the results of a nonnegative least squares solve attempt.
Double precision version.
Inheritance HierarchyNamespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.3
SyntaxThe 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.
|
MethodsSee Also