搜索资源列表
computing
- 包括： 列主元Gauss消去法解线性方程组； 矩阵的LDLT和Cholesky分解； 追赶法解三对角方程组； Jacobi和Gauss-Seidel方法解方程组； Newton插值多项式和三次样条插值多项式； 复化Simpson公式求解定积分； Romberg方法求解定积分； 二分法和割线法求非线性方程的解。-Include: Main-element Gauss elimination method for solving linear equations
codes-for-numerical-analysis
- 高教版数值分析的matlab代码,误差与范数,非线性方程（组）的数值解法,解线性方程组的直接方法,解线性方程组的迭代法,矩阵的特征值与特征向量的计算,函数的插值方法,函数逼近与曲线（面）拟合,数值微分，数值积分，常微分方程（组）求解-entire codes for numerical analysis based on matlab
ScientificComputing
- 山东大学软件学院数值计算实验源代码LU分解、前代、回代函数、部分列主元求解线性方程组 用Cholesky分解求解线性方程组，分析残差与误差的关系 迭代法求解线性方程组 最小二乘法及病态性的分析 求非线性方程的根 多项式插值-science computing
snsqe
- 一般而言，非线性常微分方程的求解都需要赋初值，初值对于求解非线性度高的微分方程是很重要的。初始值通过求解非线性微分方程的零问题得到。这里提供了非线性代数方程组的代码。-In general, the nonlinear ordinary differential equation solving initial value, the initial value is very important for solving nonlinear differential equations with
matlab
- 误差的来源 非线性方程（组）的数值解法 解线性方程组的直接方法 解线性方程组的迭代法 矩阵的特征值与特征向量的计算 函数的插值方法 函数逼近与曲线（面）拟合 数值微分 数常微分方程（组）求解值积分 -The source of the error Numerical method for solving the nonlinear equation (group) The direct method of solving linear
Correl080
- 本软件适合工程技术人员及学生进行数据分析。适用范围广、输入界面简单方便、功能模块实用强大、操作简便易懂。 本软件可进行二元线性与非线性相关分析；多元线性与非线性相关分析；多元线性的相关矩阵分析；数理统计与误差分析；计算行列式的值、求解多元方程组；学习与研究函数的图形及特性；计算常用函数等等。例如：可对化验分析成果进行回归及误差分析、对地质物化探数据进行相关性分析、对测量数据进行误差分析、对社会调查数据进行统计分析等等。 -The software for engineering an
NewtonRaphson_0.5
- 解决非线性规划的工具箱，例子为阻力系数的仿真，方程组的求解，-Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met
pdecol
- 经典的在一个空间和一个时间维度求解非线性偏微分方程组的源程序-solving coupled systems of nonlinear partial differential equations (PDE`s) in one space and one time dimension
solve-equations
- 该程序用来求解微分方程，微分方程组和非线性微分方程，代码都已写好只要带入求解的方程就行，而且附有求解的ppt讲解实例。开发的环境为matlab，格式为m文件。-The procedure for solving differential equations, differential equations and nonlinear differential equations, as long as the code is already written into solving the equ
AdapGA
- 自适应遗传算法，用于优化求解，线性非线性方程方程组，调了很久-Adaptive genetic algorithm for optimization solution, linear equations, nonlinear equations for a long time
numerical-analysis
- 数值计算方法，包括高斯法解线性方程组，观察龙格库塔现象，非线性方程的迭代求解，都是自己编程写的，Matlab语言，数值分析课的大作业-Numerical methods, including the Gauss method for solving linear equations, Runge-Kutta observed phenomenon, iterative solving nonlinear equations are written in their own programming
matlab_nonlinear
- MATLAB求解非线性约束方程组的学习资料，指导如何使用MATLAB自带约束函数进行求解-MATLAB for solving nonlinear constrained equations learning materials, guidance on how to use MATLAB to solve its own constraint functions
Nonlinear-analysis-of-gear
- 齿轮传动非线性分析，对扭转振动方程组进行求解，可得到齿轮扭转角随时间变化相关参数-Gear nonlinear analysis of torsional vibration equations are solved to obtain the twist angle of the gear change parameters over time
1
- 基于高斯赛德尔法的线性方程组解法（可消去系数矩阵病态）。基于牛顿法及改进的牛顿法实现对 非线性方程的求解。-Based Linear Equations high Sisaideer law (coefficient matrix can be eliminated morbid). Realization of nonlinear equations of Newton' s method for solving and improved Newton method is based
finghing_v15
- 雅克比迭代求解线性方程组课设,关于非线性离散系统辨识，实现典型相关分析。- Jacobi iteration for solving linear equations class-based, Nonlinear discrete system identification, Achieve canonical correlation analysis.
fenpan
- 用MATLAB实现的压缩传感，关于非线性离散系统辨识，雅克比迭代求解线性方程组课设。- Using MATLAB compressed sensing, Nonlinear discrete system identification, Jacobi iteration for solving linear equations class-based.
muimou_v54
- 雅克比迭代求解线性方程组课设,计算时间和二维直方图,关于非线性离散系统辨识。- Jacobi iteration for solving linear equations class-based, Computing time and two-dimensional histogram, Nonlinear discrete system identification.
jouban_v67
- 利用最小二乘法进行拟合多元非线性方程，PLS部分最小二乘工具箱,雅克比迭代求解线性方程组课设。- Multivariate least squares fitting method of nonlinear equations, PLS PLS toolbox, Jacobi iteration for solving linear equations class-based.
sangyou_v67
- 雅克比迭代求解线性方程组课设,关于非线性离散系统辨识，isodata 迭代自组织的数据分析。- Jacobi iteration for solving linear equations class-based, Nonlinear discrete system identification, Isodata iterative self-organizing data analysis.
niuqiu
- 数学方法是部分子空间法，雅克比迭代求解线性方程组课设,关于非线性离散系统辨识。- Mathematics is part of the subspace, Jacobi iteration for solving linear equations class-based, Nonlinear discrete system identification.