全国大学生电子设计竞赛常见功能模块例程:MMA7455例程
2021-09-10 16:48:12 2KB MMA 7455
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MMA:开启元宇宙营销时代(The Metaverse is the Medium 2021).pdf
2021-09-06 13:07:09 2.27MB 行业
开启元宇宙营销时代(TheMetaverseistheMedium2021)-MMA
2021-09-04 16:01:25 2.22MB
20210901-MMA-开启元宇宙营销时代.pdf
2021-09-02 09:06:42 2.3MB 行业
开启元宇宙营销时代(The Metaverse is the Medium 2021)-MMA-2021-44页
2021-09-01 18:03:32 3.1MB
多方式多类型交通分配模型MMA在收费型公路网中的应用研究.pdf
2021-08-29 13:06:46 504KB 道路交通
Description of the algorithms used in the implementations of MMA and GCMMA in Matlab. Files for both MMA and GCMMA: ============================ subsolv.m kktcheck.m toy1.m toy2.m subsolv.m ========= The function subsolv.m makes an attempt to solve either the MMA subproblem generated by mmasub.m, or the GCMMA subproblem generated by gcmmasub.m. A straight-forward primal-dual interior-point method is used. kktcheck.m ========== The function kktcheck.m calculates the left hand sides of the KKT conditions for the optimization problem defined by the user. toy1.m and toy2.m ================= Define, together with mmatoyinit.m or gctoyinit.m, the users problem. ---------------------------------------------------------------- Files for MMA only: ================== mmasub.m mmatoymain.m mmatoyinit.m mmatoyresults mmasub.m ======== The function mmasub.m generates the MMA subproblem for the current iteration, and calls the function subsolv.m mmatoymain.m ============ The file mmatoymain.m makes an attempt to solve the users optimization problem which is defined by the files mmatoyinit.m and toy2.m. In each MMA iteration, mmatoymain.m calls toy2.m and mmasub.m. ---------------------------------------------------------------- Files for GCMMA only: ==================== gcmmasub.m asymp.m concheck.m raaupdate.m gctoymain.m gctoyinit.m gctoyresults gcmmasub.m ========== The function gcmmasub.m generates the GCMMA subproblem for the current outer/inner iteration, and calls the function subsolv.m. asymp.m =========== The function asymp.m calculates values on the parameters raa0, raa, low and upp in the beginning of each outer GCMMA iteration. concheck.m =========== The function concheck.m checks if the current GCMMA approximations are sufficiently conservative. raaupdate.m =========== The function raaupdate.m updates the parameters raa0 and raa in each inner iteration. gctoymain.m =========== The file gctoymain.m makes an attempt to solve the users optimization pr
2021-08-26 16:13:39 240KB GCMMA MMA MATLAB
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针对固有频率的拓扑优化,使用MMA进行优化。下载后可以直接运行,修改滤波半径、惩罚因子等参数。同时包含模态追踪、刚度矩阵和质量矩阵的组装等模块。
2021-08-18 10:46:37 6KB MMA 拓扑优化 固有频率 模态追踪
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Microsoft Message Analyzer MessageAnalyzer64.msi MessageAnalyzer64.msi
2021-07-08 17:20:52 64.36MB MMA Microsoft Messag MessageAnalyzer6
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KRISTER SVANBERG A new method for non-linear programming in general and structural optimization in particular is presented. In each step of the iterative process, a strictly convex approximating subproblem is generated and solved. The generation of these subproblems is controllcd by so called ‘moving asymptotes’, which may both stabilize and speed up the convergence of the general process
2021-05-24 18:54:44 752KB MMA
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