资源列表
umat
- ABAQUS子程序umat自定义材料本构模型的实例详细解释，帮助umat初学者掌握编程过程，进一步实现自己编程进行模拟的目的-ABAQUS subroutine UMAT custom material constitutive model of the case in detail to explain, to help beginners master the UMAT programming process, to further realize the purpose of their
1parallel
- 用于FLUENT计算结构单自由度涡激振动，采用四阶龙哥库塔法，并设置了并行计算-FLUENT, VIV, Fourth order Runge-Kutta
Burgers
- 用麦克麦考方法求解一维burgers方程的matlab代码-By Mike McCaw method for solving one-dimensional burgers equation matlab code
Surrogate-Modelling
- 本文件包含元模型的基本原理及其相关源代码，可用于高维非线性问题求解。-This file is part of the Engineering Design via Surrogate Modelling: A Practical Guide Maltab code.
cohe3d
- 三维粘结面生成程序。可以在Ansys等商业软件生成的随机网格间插入粘结面。使用时将ansys中的节点坐标和网格信息分别导入到XY0.txt和IJM0.txt中，运行PREP_triangle_cohesive.m，新的网格信息在XY和IJM中。-To generate 3D cohesive surface in mesh generated by Ansys. First store node list and element list in XY0.txt and IJM0.txt中，run
weno5_sOsher
- weno5求解shu-Osher激波管问题，计算结果能较好拟合精确解-shu-Osher problem solved by weno5,result agree with the solution well
mpi-matrix
- mpi矩阵相乘，初值如程序中设置，并附有串行程序和加速比测试结果-MPI matrix multiplication, the initial value as the program settings, and there also have serial procedures and results of acceleration
NanoSL
- 这是用四阶龙格库塔法计算半导体激光器速率方程的工程，源代码用C语言书写，开发平台为VC6.0。程序输出数据被写入文件SLdata.txt中，其中第一列为仿真时间，第二列为载流子浓度，第三列为光子密度。为了方便更多相关开发者调试，还提供了一个matlab源文件test.m。test.m用于将计算数据在matlab中用曲线显示。-This is project developed by Visual C++ 6.0 software platform, which uses the 4th orde
matlab-KICA
- kica-故障监测 通过对自回归模型中测量矩阵引入时滞参数得到一个适用于动态系统的增广矩阵；然后，选择核函数，计算核矩阵，将增广矩阵映射到高维空间进行白化；最后，利用改进的快速ICA方法提取出独立成分实现对新的测试数据进行在线监测-kica-Fault monitoring
kaifeng
- 分数阶傅里叶变换计算方面,搭建OFDM通信系统的框架，分析了该信号的时域、频域、倒谱，循环谱等。- Fractional Fourier transform computing, Build a framework OFDM communication system, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
alglib-3.10.0.vbnet.gpl
- VB编写的数值分析和数值处理的工具箱。可解决问题：神经网络，最优化，插值和线性/非线性最小二乘拟合，等。-using VB,cross-platform numerical analysis and data processing library. It can solve these problems,neural networks,Optimization,Interpolation and linear/nonlinear least-squares fitting,etc.
pos
- 改进后的粒子群算法，可用于求解规划问题，路径问题和相关多目标组合优化问题-The improved particle swarm optimization (pso) algorithm, can be used to solve the planning problem, the routing problem and the relevant multi-objective combinatorial optimization problem