搜索资源列表
xyk
- 由键盘输入多边形的边数，求其内角和，可以用逐个数字进行试用。-Keyboard input from a number of polygon edges, and its angle and can be used by the figures for trial.
Newtonalgorithm
- 牛顿算法！感觉不错！上载给大家试用！希望大家喜欢！-Newton algorithm! Feel good! U.S. trial set up to!
gedecaixiang
- “歌德巴赫猜想”指出，每个大于6的偶数，都可以表示为两个素数之和。试用程序将6~100内的所有偶数表示为两个素数的和-" Goldbach conjecture" that every even number greater than 6, can be expressed as the sum of two primes. Trial procedure within the 6 to 100 all even said the two prime numbers and
minrobot_huisu
- 问题描述：设某一机器由n个部件组成，每一种部件都可以从m个不同的供应商处购得。设wij是从供应商j处购得的部件i的重量，cij是相应的价格。试设计一个算法，给出总价格不超过c的最小重量机器设计。 数据输入：由文件1.txt给出输入数据。第一行有3个正整数n,m,d。接下来的2n行，每行n个数。前n行是c，后n行是w. 结果输出：将计算的最小重量及每个部件的供应商输出到文件2.txt. -Problem Descr iption: Let a machine composed by
determine-the-potential-value
- 一个二维静电场，电位函数为 ，边界条件如题图所示，将正方形场域分成20个正方形网格。有十六个内部网格点。假定16个网格点的初始值为0，试用超松弛法确定16个网格点的电位值。-A two-dimensional electrostatic field, potential function, boundary conditions such as the title shown below, the square field divided into 20 square grid. Sixteen
trial
- 蠕变程序，有fortran实现的两种不同算法。并用简单的truss来测试其正确性。-Creep process, there are two different algorithms to achieve fortran. And a simple truss to test its correctness.
Five
- 利用五点差分格式计算近似Dirichlet问题，取步长1，试用Jacobi迭代、Guass-Seidel迭代和SOR迭代求解-The five-point difference scheme to calculate the approximate Dirichlet problem, take a step a trial Jacobi iterative the on Guass-Seidel iteration and SOR iterative solution
COPXY
- COPXY is n x m matrix which contains center of preasure (COP) data of static posturography tests on Parkinson s Disease (PD) Subjects. COPXY m columns are n/2 trials made of X Y data from a PD subject. COPXY n rows are n observations within a trial.
CoDE
- Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters
Adaptive-CoDE
- Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法-Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters
Five-point-difference-scheme
- 利用五点差分格式近似Dirichlet问题，试用雅克比迭代、Gauss-sedel迭代求解。-Use a five-point difference scheme approximation Dirichlet problem, the trial Jacobi iteration, Gauss-sedel iterative solver.
genetic-algorithm-with-vc-
- 本程序试用遗传算法来解决Rosenbrock函数的全局最大值计算问题-The trial program genetic algorithm to solve the problem of global maximum Rosenbrock function calculation
Rprogramming
- R programming samples for data analysis. These are some codes created when studying R programming obtained through a coursera course. These are trial codes only.
EEMD
- EEMD分解求能量熵，经本人试用，完全能够求解-EEMD decomposition for energy entropy, after my trial, completely able to solve
Improved-wavelet-packet
- 改进的小波包特征熵，经本人试用，完全能够求解特征熵-Improved wavelet packet feature entropy, by my trial, fully able to solve the feature entropy
Root-mean-square
- 均方根值趋势图，经本人试用，完全能够求解特征熵-Root mean square trend chart, through my trial, fully able to solve the characteristic entropy