www.gusucode.com > mbcdata 工具箱 matlab 源码程序 > mbcdata/@cgoptimconstraint/staticRHSEvaluate.m
function varargout = staticRHSEvaluate(obj, varargin) %STATICRHSEVALUATE Evaluate the item at a set of inputs and expression values. % % OUT = STATICRHSEVALUATE(OBJ, INPUTVALUES, EXPRVALS) evaluates the right % 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] = STATICRHSEVALUATE(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{:});