Construct a new NonNegativeLeastSquares instance to solve Ax-b where x is a vector of n unknowns.

Determines whether the specified Object is equal to the current Object.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Returns the dual solution vector, w. If then , otherwise .

Serves as a hash function for a particular type.

Returns the solution to the problem, x.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Sets the initial guess.

Finds the solution to the problem for the current constraints.

Returns a String that represents the current Object.

The dual tolerance controlling when the computation stops.

The number of iterations used to find the solution.

The maximum time allowed for the solve step.

The maximum number of iterations.

The residual norm tolerance.

The tolerance used for the incoming column rank deficient check.

The euclidean norm of the residual vector, .