资源列表
convection and diffusion-allscheme_fortran
- 二维对流扩散问题的各种求解方法结果的比较，采用有限体积法(Two-dimensional unsteady heat diffusion and convection equation and finite volume fortran program)
flow-compaction
- 用于ABAQUS分析计算流体压缩模型的子程序(the Subroutine for ABAQUS to compute Fluid Compaction)
linear beam
- 用于实现梁的静力学线性分析，本算例目的是计算悬臂梁受到均布载荷作用下的变形。(Static linear analysis of beams; The purpose of this numerical example is to calculate the deformation of a cantilever beam subjected to uniformly distributed loads.)
0带约束的差分进化算法1
- 基于Python编写的差分进化原理的带边界条件约束算法(A band constraint algorithm based on differential evolution algorithm)
SolarAngle.MATLAB
- 本程序计算的太阳角有地面点对应的太阳天顶角和太阳方位角，太阳高度角与太阳天顶角 互余，所以太阳高度角也可以通过90 度-太阳天顶角计算得到(The solar angle is calculated by the solar zenith angle and the sun azimuth angle corresponding to the earth's surface point. The sun height angle and the sun zenith angle are com
LidDrivenFlow_LBM_Test
- 顶盖驱动流 格子玻尔兹曼模拟 已经验证可以应用(Lid Driven Flow Lattice Boltzmann simulation has been verified can be applied)
mk
- 常用于分析降水、径流、气温等要素时间序列的趋势变化，其优点在于样本不需要遵循某一特定的分布，而且很少受到异常值的的干扰，计算简便。(It is often used to analyze the trend change of time series of factors such as precipitation, runoff and air temperature. Its advantage is that the sample does not need to follow a spe
Kaczmarz_Algorithm
- Kaczmarz_Algorithm算法迭代求解方程，适用于欠定和超定方程组(Kaczmarz_Algorithm. Iterative solution of equations is applicable to underdetermined and overdetermined equations.)
UD16-Hashin-model13
- 单向纤维复合材料渐进失效的显示计算子程序(explict calculation subroutine for unifibre composite progressive failure)
Hermite插值
- Hermite插值要求在插值节点处的函数值、对应的导数值以及高阶导数相等，保形性高，本程序提供算法实现和画图功能。(Hermite interpolation requires that the function value at the interpolation node, the corresponding derivative and the higher derivative are equal. Its shape preservation is high. This program
nodefstrainstressfiberla002
- 复合材料损伤，复合材料层间分层，损伤，刚度退化、衰减(Composite damage, delamination of composite layers, damage, stiffness degradation, attenuation)
最速下降法
- 最优化课程中的最速下降法matlab程序，利用了wolfe搜索和armijo线搜索(Matlab program of steepest descent method in optimization course, using Wolfe search and Armijo line search)