www.gusucode.com > mbcdata 工具箱 matlab 源码程序 > mbcdata/@cgoptimitem/staticEvaluate.m

    function [out, grad] = staticEvaluate(obj, InputValues, ExprVals, GradVals, GradVars,DS)
%STATICEVALUATE Evaluate the item at a set of inputs and expression values.
%
%   OUT = STATICEVALUATE(OBJ, INPUTVALUES, EXPRVALS) evaluates the
%   optimization 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. These values should match the values that are produced by the
%   call EVALUATE(OBJ, INPUTVALUES).
%
%   [OUT, GRAD] = STATICEVALUATE(OBJ, INPUTS, EXPRVALS, GRADVALS, GRADVARS)
%   also calculates the gradient of the objective, 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.
%   [OUT, GRAD] = STATICEVALUATE(OBJ, INPUTS, EXPRVALS, GRADVALS, GRADVARS,DATASET)
%   DATASET is a static data set object (cgstaticdataset) and includes any
%   interpolation required for use as an application point set.

%   Copyright 2005-2009 The MathWorks, Inc.

if nargout>1 && nargin<4
    error(message('mbc:cgoptimitem:InvalidArgument1'));
end

% Must return an output row for each input row
S = cellfun('size', InputValues, 1);
out = zeros(max(S), 0);

if nargout>1
    Sc = cellfun('size', InputValues, 2);
    grad = zeros(max(S), 0, sum(Sc(GradVars)));
end