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用Gauss列主元消元法解线性方程组
- 解方程： 用Gauss列主元消元法解线性方程组 -solution equation : Gauss out PCA elimination method for solving linear equations using Gauss out PCA elimination method for solving linear equations
ConsoleJava
- DotNet版的线性方程的解法，包括：高斯消元法，用于n阶非奇异矩阵；SVD分解法，求最小二乘解.目前还很难找到免费的DotNet版的数值计算程序．这里有源码（J#)和dll文件．-Kind version of the linear equation solution, including : Gaussian Elimination Act, for order n nonsingular matrix; SVD decomposition method, least squares sol
DotMatrix
- DotNet版的线性方程的解法，包括：高斯消元法，用于n阶非奇异矩阵；SVD分解法，求最小二乘解.目前还很难找到免费的DotNet版的数值计算程序．这里有源码（J#)和dll文件．-Kind version of the linear equation solution, including : Gaussian Elimination Act, for order n nonsingular matrix; SVD decomposition method, least squares sol
linearequation
- 线性方程组的求解，阶数不定，需要文件输入系数矩阵和右端向量-linear equation solution
LogOn
- c#实现线性回归预测,线性回归时一个有用的技术，本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c sharp AR auto regression predictio
nd
- 在CCS环境下，用C语言编写用牛顿迭代法解非齐次线性方程组（在此为3个方程）的代码。-In the CCS environment, using C language solution using Newton' s iterative method of non-homogeneous linear equations (in this case 3 equation) code.
CSharpAlgorithm
- CSharp编的算法集合，有各种插值，积分方法、复数计算、线性方程求解等。并定义了几种插值数据输入格式-CSharp compiled a collection of algorithms, there are a variety of interpolation, integration method, complex calculation, the linear equation and so on. And defines several interpolation data input
21
- 用C语言编写多元线性回归方程，写得不好的地方请指教！-Using C language multiple linear regression equation, where poorly written, please advice!
cSharp-linear-equation
- 用c#实现各类线性方程组的求解的源代码，配套书籍为《C#数值计算算法编程》-C# implementation with all kinds of linear equations to solve the source code, supporting the book as " C# numerical algorithm programming"
BHcircle
- 数值微分(DDA)法： 设过端点P0(x0 ,y0)、P1(x1 ,y1)的直线段为L(P0 ,P1)，则直线段L的斜率 L的起点P0的横坐标x0向L的终点P1的横坐标x1步进，取步长=1(个象素)，用L的直线方程y=kx+b计算相应的y坐标，并取象素点(x,round(y))作为当前点的坐标。因为： yi+1 = kxi+1+b = k1xi+b+kDx = yi+kDx 所以，当Dx =1 yi+1 = yi+k。也就是说，当x
Solving-linear-equations
- 求解线性方程组，首先要确定方程式的个数，以及每个方程的系数，要求程序与用户交互， 在程序运行过程中，要求用户输入方程个数和方程中的系数，程序把系数存入系数矩阵中 运用消元法（高斯消元法）：1.将系数矩阵消为上三角2.回代求得方程组的解-Solving linear equations, we must first determine the number of equations, and the coefficients of each equation required proc
gss_spd_2.1
- 线性方程组求解，提出了一种快速求解方程组的方法-the solving of linear equation
cSharpmatlabtaskcal
- 使用了编程语言：C#，编程工具：Visual Studio 2010实现了对数值计算中Steffensen，Muller（抛物线）非线性方程数值求解；Gauss线性方程组求解；Lagrange，Newton，三次样条插值法数值逼近的winform 软件开发，取代了Matlab方法，便于方法的应用和推广。-Use a programming language: C#, programming tools: Visual Studio 2010 realization of the numerica
CSharpmatrix
- C#处理矩阵函数包，包括矩阵求逆，稀疏线性方程组求解等-C# processing matrix function package, including matrix inversion, sparse linear equation solving, etc.
LU
- LU分解(LU Decomposition)是矩阵分解的一种，可以将一个矩阵分解为一个单位下三角矩阵和一个上三角矩阵的乘积（有时是它们和一个置换矩阵的乘积）。LU分解主要应用在数值分析中，用来解线性方程、求反矩阵或计算行列式。-LU Decomposition is a matrix of decomposition, a matrix can be decomposed into a unit of the lower triangular matrix and an upper triang
NH
- 用最小二乘法拟合二元多次曲线 已知点的x坐标集合 已知点的y坐标集合 已知点的个数方程的最高次 二元多次线性方程拟合曲线(Fitting two yuan multiple curves with least square method X coordinate set of known points Y coordinate set of known points The highest degree of the equation of the number of known points