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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
search
- A Pacman agent needs to efficiently find paths through a maze, either to reach a particular location or collect remaining food quickly. In this project, you will build general search algorithms and apply them to Pacman scenarios. The code for t
ch1example3prg1
- 单摆运动过程的建模和仿真，忽略空气阻力因素-Pendulum movement of the modeling and simulation process, ignore the air resistance factor
makeLdpc
- LDPC编码算法, Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each
SourceCode
- neural-network模型中，在產生一個輸出值前units轉換它們的net-input數值為一個activation value並視為一個中介的步驟。很多架構省略這個中介的步驟並且直接到輸出值的產生。在這裡，先忽略這個activation value的複雜度，我們首要的工作是output value輸出值的產生。我們以一個微分方程式的形式來表示一個unit的output value。就好像是生物學中所提的同等事物一樣，units的輸出值是時間的動態函數。-neural-network mo
6spline
- 返回系数估计向量；stats返回各种参数估计；’wfun’指定一个加权函数；tune为调协常数；’const’的值为’on’(默认值)时添加一个常数项；为’off ’时忽略常数项-Return coefficient estimate vector stats back to a variety of parameter estimation ' wfun' to specify a weighting function tune for the co-ordination
Version_1p1_Final
- Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only r
1000s--Factorial
- 输入不超过1000的正整数，输出n!=1X2X3....Xn的精确结果 1000!大约等于4*10^2567，因此可以用一个3000个元素的数组f保存，为了方便我们从低位起保存位数据，再倒序输出，即f[0]保存个位，其他类推 每次只需要模拟手算即可完成n!，输出时要忽略前导0-Enter a positive integer less than 1000, Output n! = 1X2X3 .... Xn accurate results 1000! Approximately equ
A_star
- c++实现的A*寻路算法，供菜鸟学习之用，老鸟无视之。-c++ implementation of the A* pathfinding algorithm for the rookie learning, fields and ignore it.
SA
- 压缩包中的工程包含了三种风格。adtstyle文件夹对应的是抽象数据风格，invretstyle文件夹对应的是调用返回风格，pipestyle文件夹对应的是管道过滤器风格。源代码是用MyEclipse 6.5写的。可直接将工程导入MyEclipse中即可运行，也可以运行SA文件夹里面的start.bat选择某个风格运行。 抽象数据风格的按字母排序算法用的是快速排序算法，代码位于SA\src\adtstyle\impl.AlphabetizerImpl.java，调用返回风格用的是插入排
1111
- 二叉树的建立演示，可以将你输入的数字建立完全的二叉树-#include <stdio.h> #include <string.h> #include <windows.h> struct BTree { int data struct BTree* left struct BTree* right } //end struct BTree BTree* CreateLeaf(int number) {
RD
- SAR成像的算法很多，以上文件为简单易懂的条带SAE成像RD算法。忽略距离徙动和距离弯曲的影响。-Many SAR imaging algorithm , the above file with SAE imaging RD algorithm is simple and easy to understand article . Ignore the range migration and distance bending .
four
- 计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。-Optimal threshold calculate
nonlisuanfa
- 单片机上一个十分有用的农历算法，可以算1900到2100年的农历，charecter有一些无关的字符，可以无视-A very useful Lunar algorithm on the microcontroller can be counted 1900-2100 Lunar charecter irrelevant characters, you can ignore
nccmp
- 比较两个netcdf文件 1。通过添加内部ind2sub1函数remove函数依赖第三方 2。格式化文本-Descr iption NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models. USAGE: NCCMP(ncfile1,ncfile2)
FindPrimeNumbers
- Write a C++ program that uses an array of n elements (where n is a user input) to determine and display the prime numbers between 2 and n, including n using the method described below. Ignore array elements 0 and 1. A prime number is any intege
quasi-Newton-method
- 功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入的可变参数变量，简单调用bfgs时可以忽略它 但若其他程序循环调用该程序时将发生重要作用-Function: with BFGS algorithm solving unconstrained problem: min f (x) input: x0 is the initial point, fun, gfun respective
NSGA-II
- NSGA是基于对个体的几层分级实现的。在选择执行 前,群体根据支配与非支配关系来排序:所有非支配个体被排成一类,这些被分级的个体共享它们的虚拟适应度值。然 后,忽略这组已分级的个体,对种群中的其它个体按照支配与非支配关系再进行分级,该过程继续直到群体中的所有个体被分级。(The NSGA is based on the individual layers of grading. Before selecting execution groups, according to govern with
Novo(a) WinRAR archive
- ignore this please pls
nanmedfilt2
- 均值滤波时能够忽略NAN的影响 对于影像处理有比较好的速度(Mean filtering can ignore the effect of NAN)