exp.m

来自「matlab波形优化算法经常要用到的matlab toolbox工具箱:yalm」· M 代码 · 共 51 行

function varargout = exp(varargin)
%EXP (overloaded)

% Author Johan L鰂berg
% $Id: exp.m,v 1.28 2008/02/12 12:51:06 joloef Exp $
switch class(varargin{1})

    case 'double'
        error('Overloaded SDPVAR/EXP CALLED WITH DOUBLE. Report error')

    case 'sdpvar'
        varargout{1} = InstantiateElementWise(mfilename,varargin{:});

    case 'char'

        operator = struct('convexity','convex','monotonicity','increasing','definiteness','positive','model','callback');
        operator.convexhull = @convexhull;
        operator.bounds     = @bounds;
        operator.derivative = @(x)exp(x);
        operator.range = [0 inf];

        varargout{1} = [];
        varargout{2} = operator;
        varargout{3} = varargin{3};

    otherwise
        error('SDPVAR/EXP called with CHAR argument?');
end

% Bounding functions for the branch&bound solver
function [L,U] = bounds(xL,xU)
L = exp(xL);
U = exp(xU);

function [Ax, Ay, b] = convexhull(xL,xU)
fL = exp(xL);
fU = exp(xU);
if fL == fU
    Ax = [];
    Ay = [];
    b = [];
else
    dfL = exp(xL);
    dfU = exp(xU);
    % A cut with tangent parallell to upper bound is very efficient
    xM = log((fU-fL)/(xU-xL));
    fM = exp(xM);
    dfM = exp(xM);
    [Ax,Ay,b] = convexhullConvex(xL,xM,xU,fL,fM,fU,dfL,dfM,dfU);
end