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Linearfitting
- 直线拟合的几种算法，其中包括线性最小二乘，和两种不同目标函数的非线性最小二乘，用于比较这些方法的优劣，另外matlab中说的robust least squares方法没有找到，希望有朋友能给穿一下：）-Several linear fitting algorithm, which includes linear least squares. and two different objective function of the nonlinear least squares, used to
Gauss-Seidel
- Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The required precision is =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the convergence of these two me
hyplas
- ************************************************************************ * * * * * THIS IS THE H Y P L A S 2.0 README FILE * * ----------------- * * * * HYPLAS is a finite element program for implicit small and large * * strain analisys of hyperelast
mc.rar
- 用MATLAB编写的运用Monte Carlo method数值积分的实例程序。可供初学者参考学习！,TETRAHEDRON_MONTE_CARLO is a MATLAB library which estimates the integral of a function over a tetrahedron using the Monte Carlo method. The library makes it relatively easy to compare different m
compare_cfd_exp_4412
- CFL3d源程序，用于比较数值与试验值的差异。4412翼型自带的程序-CFL3d source, used to compare the difference with the experimental values. 4412 program that comes with airfoil
333
- 用QR 法方程组合SVD分解进行最小二乘解方程组，并比较三种方法的稳定性以及准确性-Combined with the QR equation SVD decomposition least squares solution of equations, and compare the stability and accuracy of three methods
beibao
- 程序中的beibao1函数采用了贪婪算法的另一种写法，beibao函数是以前的代码，用来比较两种算法-Process beibao1 function greedy algorithm used another wording, beibao function is the previous code, used to compare two algorithms
subspace-methods
- 本文介绍了子空间模型辨识的多种方法，并对其不同的方法进行了综合的分析，研究，比较。-This paper introduces the sub-space model identification of a number of ways, and different ways to carry out a comprehensive analysis, research, compare.
abfilterandKalmanfilter
- 本程序给出了ab滤波算法和Kalman滤波算法。 程序以叠加噪声的二维CV运动为例(包含轨迹突变情况)，分别运用了ab滤波算法和Kalman滤波算法 对运动轨迹进行了跟踪，并比较了滤波性能。-This program give the Kalman filter algorithm and ab filter algorithm. Program uses the two-dimensional noise superimposed exercise as an example C
int
- 求解积分方程,(1)使用复化Simpson方法求积分(2)使用三次样条求积分值,并比较离散解与真解之间的误差,附件有详细说明-Solving integral equation (1) the use of complex methods for integration of Simpson (2) the use of cubic spline points for value, and compare the discrete solution and the error between t
f1
- 这是几个常用的测试函数，通过这个测试函数可以比较算法性能的优劣。-This is a test of several commonly used functions, through this test function can compare the algorithm performance is good or bad.
f4
- 这是另外几个测试函数，通过这个测试函数可以比较算法性能的优劣。-This is another test a few functions, through this test function can compare the algorithm performance is good or bad.
comparison
- 本文有对大数据集的数据挖掘技术比较结果，帮助大家选择合适的方法-This article has pairs of large data sets compare the results of data mining technology to help you choose the right method of
gauss
- 列主元高斯消元法，可以求解线性方程组，比较好用-Gauss elimination pivot column element method that can solve linear equations, compare easy to use
winam
- Mathomatic is a portable Computer Algebra System (CAS) that can solve, simplify, and compare algebraic equations, perform simultaneous real number, imaginary number, and polynomial arithmetic, etc. It does some calculus and is very easy to comp
rung-kutta
- 主要用于数学计算学习使用 内容来源于网络，比较经典，可以免费使用-Is mainly used for mathematical learning to use the content from the network, compare classic, available free of charge
linear
- 数值线性代数运算，分别用列选主元的高斯消去法，矩阵的LU分解并求解方程组和迭代法解方程组，并比较计算结果和时间。-Numerical linear algebra, respectively out how principal component of the Gaussian elimination method, LU decomposition of the matrix, and solving equations and iterative solution of equations,
JISUANFANGFA
- 有关方程组求根，多种算法比较，有助于理解方程的解结构-Roots of the equation, compare various algorithms, help to understand the equation structure
NumericalAnalysisReport
- 数值分析的实验报告，很完整的，希望对大家有用~ 课题一: 线性方程组的迭代法 一、实验内容 二、实验要求 1、体会迭代法求解线性方程组，并能与消去法做以比较； 2、分别对不同精度要求，如 由迭代次数体会该迭代法的收敛快慢； 3、对方程组2，3使用SOR方法时，选取松弛因子 =0.8，0.9，1，1.1，1.2等，试看对算法收敛性的影响，并能找出你所选用的松弛因子的最佳者； 4、给出各种算法的设计程序和计算结果。 课题二:数值积分 一、实验内容 （4）
compare-two-strings-without-using-strcmp()-functi
- compare two strings without using strcmp() function