资源列表
moving-loadingl-(2)
- abaqus moving loading 移动荷载，用户子程序开发，fortran实现关联-abaqus moving loading
USDFLD-Example
- Abaqus子程序USDFLD教学用的一个描述复合材料失效模型的程序，配备全程详解-Abaqus subroutine USDFLD teaching a descr iptive model of composite material failure of the program to use, with full Explanation
unbalanced-TCR-SVC
- 使用PSCAD建立了一个三相交流的基于TCR的SVC仿真模型，效果很好-Use PSCAD established based SVC TCR of a three-phase AC simulation model, the effect is very good
laval_con
- 安德森《计算流体力学及其应用》第七章拟一维喷管流动的数值解 7.5节 再论亚声速—超声速等熵喷管流动的CFD解法，Fortran程序-Anderson Computational Fluid Dynamics and Its Applications, Chapter VII of the quasi one-dimensional nozzle flow again on the numerical solution of 7.5 subsonic- supersonic isentrop
7.37.4-0
- 安德森《计算流体力学及其应用》第七章拟一维喷管流动的数值解， 7.3节7,4节matlab程序-Anderson Computational Fluid Dynamics and Its Applications Numerical Solution of one-dimensional nozzle flow Chapter VII of the proposed, section 7.3 7,4 matlab program
LBFGS
- 简化空间的SQP算法，采用拟牛顿的方法计算搜索方向，不需要二阶导数信息；不需要初始可行解；具有快速收敛性甚至超线性收敛性。-Simplify space SQP algorithm, using quasi-Newton method to calculate the direction of the search, no second derivative information no initial feasible solution even with fast convergence
Flac3d constitutive laws c++
- Flac3d constitutive laws c++
ACA
- 用matlab编写的人工蚁群算法实现路径规划，能画出机器人在规划空间中的运行路径-Prepared using matlab artificial ant colony algorithm path planning, we can draw the robot travel path planning space
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
LBGK_D2Q9_permeability_Low_Porosity
- 二维格子Boltzmann流动模拟，即为D2Q9模型，碰撞格式为LBGK模型，描述低孔油藏渗流-Application to permeability in porous media (low porosity)
train_mxlhb_06
- 利用贝叶斯原理估计混合logit模型的参数-Using bayesian principle to estimate the parameters of mixed logit model
StOMP
- 压缩感知StOMP算法实现，并做详细的性能分析，包含观测数目与重构概率，系数数目与重构概率及时间等。-Compressed sensing StOMP algorithm to achieve, and to do a detailed performance analysis, including the number of observations and reconstruction probability, the number of coefficients and reconstru