▍1. subroutine
johnson cook的umat子程序。已通过运行(umat johnson-cook)
更多选项
▍2. logandre-method-in-numerical-method
In numerical analysis and scientific computing, the Gauss–Legendre methods are a family of numerical methods for ordinary differential equations. Gauss–Legendre methods are implicit Runge–Kutta methods. More specifically, they are collocation methods based on the points of Gauss–Legendre quadrature. The Gauss–Legendre method based on s points has order 2
▍3. BP
说明： 利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现BP压缩图像(Uses the Matlab GUI design with the input and output function interface graphics, realizes the isometric line visibility is very strong, the data and graphics written independently by oneself, the study is very worthwhile, realizes the BP compression image.)
▍4. yichuansuanfa612
遗传算法在fortran上的实现算例啊啊啊啊啊啊啊啊 啊啊啊啊啊啊啊啊啊啊啊啊 啊啊啊啊啊(The example of genetic algorithm on FORTRAN .)
▍5. yichuansuanfa612
说明： 遗传算法在fortran上的实现算例啊啊啊啊啊啊啊啊 啊啊啊啊啊啊啊啊啊啊啊啊 啊啊啊啊啊(The example of genetic algorithm on FORTRAN .)
▍6. 65520809LSM
说明： 一种优化算法， 帝王蝶优化算法,一种新的元启发式优化算法！((In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio.)
▍7. BP
说明： 利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现BP压缩图像(Uses the Matlab GUI design with the input and output function interface graphics, realizes the isometric line visibility is very strong, the data and graphics written independently by oneself, the study is very worthwhile, realizes the BP compression image.)
▍9. nfemcode
用于fortran的非线性模型，适用于非线性有限元(A nonlinear model for fortran, suitable for nonlinear finite element)
▍10. damage_umat_abaqus
ABAQUS隐式算法二次开发，用来预测材料损伤断裂。(fracture.Fortran for ABAQUS umat)
▍11. umatS8R5
复合材料层合板 Taisai_wu 失效准则 判定材料失效(a failure creteria foe composites about the Taisai_wu failure )
▍12. RME_BEAM3
采用ANSYS建立的轨道模型，请有需要的人自行下载(The rail model was established by using BEAM3 element)
▍13. pso
一个简单的PSO算法，为逐步迭代法，步数为1000步，测试后对一些简单单峰的目标函数具有较好的收敛性(A simple PSO algorithm, for the gradual iterative method, steps 1000 steps, test some simple single peak of the objective function has better convergence)
▍14. SINGLE_PHASE_hw
大涡模拟湍流射流程序很好功能很广泛,欢迎下载(This is a fortran-based code for simulation of jet flow in turbulence)
▍15. Proxy-Hunter
代理IP,搜索网络上的免费代理IP!实现VPN(IP Agent FreeproxyIPon thesearch network)
▍16. Lbfgsb.3.0.tar
无约束优化中非常有用的L-BFGS代码,在解决大规模优化问题中,有着良好的数值表现.(useful unconstrained optimization L-BFGS code, in the solution of large-scale optimization problems, has a good numerical performance.)
▍17. svc_acsystem
TSC型SVC接入交流电网的模型，包含具体的控制模型(A TSC type SVC access AC grid model)
▍18. BP
说明： bp神经网络计算方法，可以用于数值计算的很好用的(bp neural network calculation method can be used for good use of the numerical calculation)
▍20. MyGaMpiII_1.0
这是一个基于实数编码的Fortran语言的遗传算法，并用MPI并行实现，里面提供了丰富的选择算子，交叉算子，变异算子可供选择，如选择算子有基于赌盘选择算子，无回放余数随机选择算子，变异算子有高斯变异，自适应变异等，此外还实行了一种策略可以有效地降低早熟的概率，本人还有一份非MPI版本的遗传算法，需要者可以联系。(This is a real-coded in Fortran language of genetic algorithms, and use MPI parallel implementation, which provides a rich selection operator, crossover operator, mutation operator to choose from, such as the selection operator are based gamble selection operator, no more than a few random playback selection operator, mutation operator with Gaussian mutation, adaptive mutation, in addition to the implementation of a strategy can effectively reduce the probability of premature, I have a non-MPI version of the genetic algorithm, for those who need to Contact.)
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