资源列表
Evolution-Algorithm
- 本代码在NSGA-II中引入进化策略的多目标优化程序，能够找到绝大多数目标函数的最优前沿，用多个标准化测试函数测试，程序优化结果都非常好-This code is introduced in NSGA-II multi-objective optimization evolutionary strategy program that can find the optimal frontier majority of the objective function with multiple sta
RBF
- 径向基神经网络应用实例，包括异或问题，RBF网络曲线拟合，GRNN网络曲线拟合，PNN网络用于坐标点分类-RBF neural networks used, including XOR problem, RBF network curve fitting, GRNN network curve fitting, PNN network to coordinate points classification
PGSA_reconfg
- 人工智能算法 模拟植物生长算法matlab程序 供初学者学习参考-Artificial intelligence algorithm simulation of plant growth algorithm matlab program for beginners to learn the reference
edu3d_tetgrid_cube
- 在立方体中生成非结构网格，以不规则四面体填充(Generating unstructured grids in a cube, filled with irregular tetrahedron)
SIMPLEXE
- Algoritimo matematico
1
- mathcad中简单离散时间信号的表示、图像、卷积和卷积之后的图像(The representation, image, convolution, and convolution of a simple discrete time signal in MathCAD)
VaR、ES
- VaR和ES计算的计量经济学方法，VaR的计算得方法以及ES的计算方法(> da=read.table("d-ibm-0110.txt",header=T) > xt=-log(da$return+1) > install.packages("fGarch") > library(fGarch) > m1=garchFit(~garch(1,1),data=xt,trace=F) > m1)
NSGA-II
- matlab实现的多目标优化遗传算法代码。可输出结果并画图。(The matlab program of NSGA-II.)
sod
- sod激波管问题，x<0:(u,ρ,p)=(0,1,1);x≥0:(u,ρ,p)=(0,0.125,0.1),画出t=0.14时刻的u,ρ,p曲线.(The Sod shock tube problem, named after Gary A. Sod, is a common test for the accuracy of computational fluid codes, like Riemann solvers, and was heavily investigated by S
Gear
- 吉尔数值算法，求解刚性微分方程组，稳定好，收敛好(Gill numerical algorithm, good stability and convergence for solving rigid differential equations)
heat_Metal
- 合金热效应本构方程，Abaqus/Standard UMAT接口，Fortran语言(Constitutive equation of alloy thermal effect, ABAQUS / standard UMAT interface, FORTRAN language)
Optimize-master
- python实现的几种优化算法，包括线性规划、无约束优化、约束优化等(optimization algorithms implemented using Python)