资源列表
04
- 用C语言编一个雅克比求全部特征向量及特征值的程序-Compiled with the C-seeking all the characteristics of a Jacobian vector and characteristic value of the program
ACM
- ACM比赛常用代码，其中包括各种类别的代码。-ACM Competition commonly used code
PSO
- 基于模拟退火的粒子群算法，模拟退火算法在搜索过程中具有该概率突跳的能力，能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
05
- 用C语言编写一个用最小二乘法曲线拟合的程序-With the C language using a least squares curve fitting procedure
SA
- 模拟退火算法和最速下降法的结合，既有模拟退火算法的全局性，搜索过程中最速下降法确定搜索方向，提高了收敛速度。-Simulated annealing algorithm and a combination of steepest descent method, both simulated annealing algorithm for the global nature of the search process in the steepest descent method to determ
zLU
- 线性方程组的求解方法，LU分解法采用隐式的部分选主元方法，稳定性较好-Method for Solving linear equations, LU decomposition method using an implicit part of the election the main element method, stability, good
VANDER
- 范德蒙vandermonde方程组的求解方法，求解范德蒙线性方程组VW=q-Vandermonde vandermonde equations solution method for solving Vandermonde linear equations VW = q
mulVNewton
- 非线性方程组的逆Newton法的matlab实现，代码简洁，算法精确！-Nonlinear equations inverse Newton method matlab implementation, code simplicity, the algorithm accurately!
numerus
- 数值算法的相关算法实现，包括单点弦法迭代法 牛顿迭代法 二分法 拉格郞日插值 牛顿法插值等算法-Numerical algorithm related algorithms, including the single-point chord iteration Newton' s iteration method dichotomy Rugby Lang on Newton interpolation algorithm for interpolation
romberg
- 用两个相邻的近似公式（其中后一个公式是由前一个公式的分半得到的）的线性组合而得到更好的近似公式的方法，就是近代电子计算机上常用的Romberg求积方法，也叫逐次分半加速（收敛）法。-With two adjacent approximate formula (where the latter formula is a formula from the previous one and a half received) is a linear combination of better appro
qiuzhishu
- 这个程序能求出求出一到所输入数值之间的所有质数！-This program can find the find the one entered into between the value of all prime numbers!
newton
- 利用Newton插值多项式 求被插值函数f 在点65 处的近似值.-Demand has been the use of Newton interpolation polynomial interpolation function f at the point 65 of the approximation.