BoundedVariableLeastSquares Class |
Namespace: Imsl.Math
The BoundedVariableLeastSquares type exposes the following members.
Name | Description | |
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BoundedVariableLeastSquares |
Construct a new BoundedVariableLeastSquares instance to solve
Ax-b subject to bounds on the variables. Each upper bound
must be greater than or equal to the corresponding lower bound.
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Name | Description | |
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
GetDualSolution |
Returns the dual solution vector, w.
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GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) | |
GetSolution |
Returns the solution to the problem.
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GetType | Gets the Type of the current instance. (Inherited from Object.) | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
Solve |
Find the solution x to the problem for the current
constraints.
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ToString | Returns a string that represents the current object. (Inherited from Object.) |
Name | Description | |
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Iterations |
The number of iterations used to find the solution.
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MaxIterations |
The maximum number of iterations.
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ResidualNorm |
The euclidean norm of the residual vector, .
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Tolerance |
The internal tolerance used to determine the relative linear
dependence of a column vector for a variable moved from its initial
value.
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BoundedVariableLeastSquares solves the least-squares problem
subject to the conditions for all k.This algorithm is a generalization of NonNegativeLeastSquares, that solves the least-squares problem, Ax = b, subject to all . NonNegativeLeastSquares is based on the subroutine NNLS which appeared in Lawson and Hanson (1974). The additional work on bounded variable least squares was published in a later reprint (Lawson and Hanson, 1995).