matlab optimization process includes Non-binding one-dimensional extremum problems Advance and retreat method Golden Section Fibonacci method of basic Newton s method Newton s method Newton s Law of the global secant method parabola method acceptable to the three interpolation search method   Goidstein France Wolfe.Powell France Simplex search method Powell steepest descent method Conjugate gradient method Newton s method Newton s method to amend Quasi-Newton Method trust region method explicitly steepest descent method, Rosen gradient projection method Penalty function method outside the penalty function method within the penalty function method Mixed penalty function multiplier method   G-N was amended in G-N method L-M method Of linear programming simplex method, revised simplex method Big M method variables bounded simplex method, Cutting Plane Method integer programming branch and bound method 0-1 programming quadratic programming

光盘程序\第10章 线性规划\CmpSimpleMthd.m
........\...............\ModifSimpleMthd.m
........\...............\SimpleMthd.m
........\...1章 整数规划\DividePlane.m
........\...............\IntProgFZ.m
........\...............\ZeroOneprog.m
........\...2章 二次规划\ActivdeSet.m
........\...............\QuadLagR.m
........\...............\TrackRoute.m
........\...3章 粒子群优化算法\AsyLnCPSO.m
........\.....................\BreedPSO.m
........\.....................\CLSPSO.m
........\.....................\LinWPSO.m
........\.....................\LnCPSO.m
........\.....................\PSO.m
........\.....................\RandWPSO.m
........\.....................\SAPSO.m
........\.....................\SecPSO.m
........\.....................\SecVibratPSO.m
........\.....................\SelPSO.m
........\.....................\SimuAPSO.m
........\.....................\YSPSO.m
........\...4章 遗传优化算法\AdapGA.m
........\....................\DblGEGA.m
........\....................\GMGA.m
........\....................\MMAdapGA.m
........\....................\myGA.m
........\....................\NormFitGA.m
........\....................\SBOGA.m
........\..6章 无约束一维极值问题\minFBNQ.m
........\........................\minGS.m
........\........................\minGX.m
........\........................\minHJ.m
........\........................\minJT.m
........\........................\minNewton.m
........\........................\minPWX.m
........\........................\minTri.m
........\........................\minWP.m
........\..7章 无约束多维极值问题\minBFGS.m
........\........................\minDFP.m
........\........................\minFD.m
........\........................\minGETD.m
........\........................\minMNT.m
........\........................\minNT.m
........\........................\minPowell.m
........\........................\minPS.m
........\........................\minRb.m
........\........................\minSimpSearch.m
........\........................\minTruA.m
........\..8章 约束优化问题\minconPS.m
........\..................\minFactor.m
........\..................\minGeneralPF.m
........\..................\minJSMixFun.m
........\..................\minMixFun.m
........\..................\minPF.m
........\..................\minRosen.m
........\..9章 非线性最小二乘优化问题\minGN.m
........\............................\minLM.m
........\............................\minMGN.m
........\第10章 线性规划
........\第11章 整数规划
........\第12章 二次规划
........\第13章 粒子群优化算法
........\第14章 遗传优化算法
........\第6章 无约束一维极值问题
........\第7章 无约束多维极值问题
........\第8章 约束优化问题
........\第9章 非线性最小二乘优化问题
光盘程序

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