www.gusucode.com > mbcdata 工具箱 matlab 源码程序 > mbcdata/@cgoptimconstraint/staticLHSEvaluate.m

    function varargout = staticLHSEvaluate(obj, varargin)
%STATICLHSEVALUATE Evaluate the item at a set of inputs and expression values.
%
%   OUT = STATICLHSEVALUATE(OBJ, INPUTVALUES, EXPRVALS) evaluates the left
%   hand side of the constraint item at a set of input values given the set
%   of expression output values EXPRVALS and returns outputs for each input
%   set. INPUTVALUES must be a cell array with the same number of elements
%   as the item has inputs.  Each cell contains a matrix of data for that
%   input.  EXPRVALS must be a cell array with the same number of elements
%   as there are expressions in the expression/function list provided by
%   the GETSTATICEXPRESSIONS method.  The output is a matrix of evaluation
%   values.
%
%   [OUT, GRAD] = STATICLHSEVALUATE(OBJ, INPUTS, EXPRVALS, GRADVALS, GRADVARS)
%   also calculates the gradient of the value, given the gradients of
%   the expression values.  GRAVALS is a cell array the same size as
%   EXPRVALS that contains a 3D matrix for each 2D matrix of expression
%   evaluations in EXPRVALS.  The 3rd dimension contains the gradients with
%   respect to each free variable value.  GRADVARS is a vector of input
%   indices that indicates which inputs the expression gradients have been
%   calculated for.  GRAD should be a 3D matrix with the first two
%   dimensions the same size as OUT, and the 3rd dimension the same size as
%   the 3rd dimension of the expression gradients, i.e. a gradient should
%   be produced for each variable value GRADVARS specifies.

%   Copyright 2005 The MathWorks, Inc.


% Defer to default evaluation path in this case
[varargout{1:nargout}] = staticEvaluate(obj, varargin{:});