代码搜索:Demand

找到约 1,286 项符合「Demand」的源代码

代码结果 1,286
www.eeworm.com/read/386978/8714884

asv untitled2.asv

x0 =[1 6 0 0 1 8 5 10 1 3 0 0 3 9 2 0 1 4 0 0 1 7 0 0 1 1 0 0]; l0 =[1
www.eeworm.com/read/386978/8714894

m insert.m

function [x,changex,l]=insert(x0,l0) global customer; global depot; global demand; NumberRoute=length(l0); a=ceil(NumberRoute*rand); b=ceil(NumberRoute*rand); while a==b a=ceil(NumberRou
www.eeworm.com/read/386978/8714918

asv drop.asv

function [x1,changex,l1]=drop(x0,l0) global customer; global depot; global demand; NumberRoute=length(l0); a=ceil(NumberRoute*rand); %先计算DD数组 %nowdepot为选择的配送中心 nowdepot=x0(a
www.eeworm.com/read/386978/8714945

m untitled2.m

x0 =[1 6 0 0 1 8 5 10 1 3 0 0 3 9 2 0 1 4 0 0 1 7 0 0 1 1 0 0]; l0 =[1
www.eeworm.com/read/384940/8829417

m fm_opfsdr.m

function fm_opfsdr %FM_OPFSDR solve the OPF-based electricity market problem by means of % an Interior Point Method with a Merhotra Predictor-Corrector % or Newton direction techniq
www.eeworm.com/read/418304/10954775

m fm_opfsdr.m

function fm_opfsdr %FM_OPFSDR solve the OPF-based electricity market problem by means of % an Interior Point Method with a Merhotra Predictor-Corrector % or Newton direction techniq
www.eeworm.com/read/456193/7354799

m fm_opfsdr.m

function fm_opfsdr %FM_OPFSDR solve the OPF-based electricity market problem by means of % an Interior Point Method with a Merhotra Predictor-Corrector % or Newton direction techniq
www.eeworm.com/read/456193/7355055

m fm_opfrep.m

function fm_opfrep %FM_OPFREP writes OPF report file % %see also FM_OPFM FM_OPFSD and OPF structure for settings. % %Author: Federico Milano %Date: 09-Mar-2005 %Version: 1.0.0 % %E-mail:
www.eeworm.com/read/101082/6252318

h pte.h

/* * @(#)pte.h 4.2 (ULTRIX) 9/4/90 */ /* ------------------------------------------------------------------ */ /* | Copyright Unpublished, MIPS Computer Systems, Inc. All Rights | */ /* | Reserved
www.eeworm.com/read/263516/11358768

m fm_opfsdr.m

function fm_opfsdr %FM_OPFSDR solve the OPF-based electricity market problem by means of % an Interior Point Method with a Merhotra Predictor-Corrector % or Newton direction tech