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主要是针对matlab编程的14个案例;
案例1:一般区域二重、三重积分;
案例2:被积函数含有积分项的一类积分;
案例3:一般区域n重积分;
案例4:蒙特卡洛法计算n重积分;
案例5:第二类Fredholm积分方程;
案例6:第一类Fredholm积分方程;
案例7:第二类Volterra积分方程;
案例8:第一类Volterra积分方程;
案例9:全局优化;
案例10:fsolve求非线性方程组;
案例11:渐变光波求导;
案例12:遗传算法在复杂系统可靠度和冗余度分配优化;
案例13:遗传算法在车间设备布局优化;
案例14:应用Benders分解算法求解混合0-1规划;(Mainly for 14 cases of MATLAB programming;
Case 1: General Regional double and three integral;
Case 2: a class of integral functions containing integral terms;
Case 3: General Regional N multiple integrals;
Case 4: Monte Carlo method to calculate the N multiple integral;
Case 5: Fredholm integral equations of the second kind;
Case 6: Fredholm integral equations of the first kind;
Case 7: Volterra integral equations of the second kind;
Case 8: Volterra integral equations of the first kind;
Case 9: Global optimization;
Case 10:fsolve for nonlinear equations;
Case 11: gradual wave derivative;
Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems;
Case 13: genetic algorithm in workshop equipment layout optimization;
Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)
案例1:一般区域二重、三重积分;
案例2:被积函数含有积分项的一类积分;
案例3:一般区域n重积分;
案例4:蒙特卡洛法计算n重积分;
案例5:第二类Fredholm积分方程;
案例6:第一类Fredholm积分方程;
案例7:第二类Volterra积分方程;
案例8:第一类Volterra积分方程;
案例9:全局优化;
案例10:fsolve求非线性方程组;
案例11:渐变光波求导;
案例12:遗传算法在复杂系统可靠度和冗余度分配优化;
案例13:遗传算法在车间设备布局优化;
案例14:应用Benders分解算法求解混合0-1规划;(Mainly for 14 cases of MATLAB programming;
Case 1: General Regional double and three integral;
Case 2: a class of integral functions containing integral terms;
Case 3: General Regional N multiple integrals;
Case 4: Monte Carlo method to calculate the N multiple integral;
Case 5: Fredholm integral equations of the second kind;
Case 6: Fredholm integral equations of the first kind;
Case 7: Volterra integral equations of the second kind;
Case 8: Volterra integral equations of the first kind;
Case 9: Global optimization;
Case 10:fsolve for nonlinear equations;
Case 11: gradual wave derivative;
Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems;
Case 13: genetic algorithm in workshop equipment layout optimization;
Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)
相关搜索: matlab编程的14个案例
(系统自动生成,下载前可以参看下载内容)
下载文件列表
1\第七章\BendersDecomposition.m
1\第七章\example731.m
1\第七章\example762.m
1\第七章\fsolveDemo1.m
1\第七章\fsolveDemo2.m
1\第七章\GA4WorkshopDeviceLayout.m
1\第七章\GAforSCADA.m
1\第七章\mytdraw.m
1\第七章\NonlinearVolterra2.m
1\第七章\randwalk.m
1\第七章\randwalknew.m
1\第六章\CalcInteDemo.m
1\第六章\CalcInteDemo2.m
1\第六章\example6_2_1.m
1\第六章\example6_2_2.m
1\第六章\example6_2_3.m
1\第六章\example6_4_1.m
1\第六章\example6_4_2.m
1\第六章\example6_4_3.m
1\第六章\example6_4_4a.m
1\第六章\example6_4_4b.m
1\第六章\example6_5_1a.m
1\第六章\example6_5_1b.m
1\第六章\example6_5_2.m
1\第六章\Fredholm1.m
1\第六章\Fredholm1to2.m
1\第六章\Fredholm2.m
1\第六章\IntDemo.m
1\第六章\NewFredholm2.m
1\第六章\nIntegrate.m
1\第六章\rbf_calc.m
1\第六章\rbf_dblquad.m
1\第六章\Volterra1to2.m
1\第六章\Volterra2.m
1\第七章
1\第六章
1
1\第七章\example731.m
1\第七章\example762.m
1\第七章\fsolveDemo1.m
1\第七章\fsolveDemo2.m
1\第七章\GA4WorkshopDeviceLayout.m
1\第七章\GAforSCADA.m
1\第七章\mytdraw.m
1\第七章\NonlinearVolterra2.m
1\第七章\randwalk.m
1\第七章\randwalknew.m
1\第六章\CalcInteDemo.m
1\第六章\CalcInteDemo2.m
1\第六章\example6_2_1.m
1\第六章\example6_2_2.m
1\第六章\example6_2_3.m
1\第六章\example6_4_1.m
1\第六章\example6_4_2.m
1\第六章\example6_4_3.m
1\第六章\example6_4_4a.m
1\第六章\example6_4_4b.m
1\第六章\example6_5_1a.m
1\第六章\example6_5_1b.m
1\第六章\example6_5_2.m
1\第六章\Fredholm1.m
1\第六章\Fredholm1to2.m
1\第六章\Fredholm2.m
1\第六章\IntDemo.m
1\第六章\NewFredholm2.m
1\第六章\nIntegrate.m
1\第六章\rbf_calc.m
1\第六章\rbf_dblquad.m
1\第六章\Volterra1to2.m
1\第六章\Volterra2.m
1\第七章
1\第六章
1
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