prosecutors iteration of linear equations

MCA: image decomposition -MCA: image decomposition

This a simple demo of how to evaluate mathematical expressions in text format, including provision for variables and functions. The code consists of three simple classes: 1) Calc - which does the main calculations, 2) Stack - which is used to push and pop intermediate operators and numbers and 3) Symbol Table. The symbol table is a collection of calc symbols, a type structure consisting of various elements, including the expression name, function name, and the final value of the expression The evaluation procedure is done in three steps: 1) simplify the expression by removing all the elements within () and storing them in subexpressions within the symbol table. 2) Each of these sub expressions are then converted to RPN format (Reverse polar notation) and evaluated 3) Finally, the main expression is converted to RPN and evaluated-This is a simple demo of how to evaluate mathematical expressions in text format, including provision for variables and functi

利用AFEPack包求解变二次系数的椭圆型方程.在求解这个问题的过程中，先要把程序的结构进行整理，将变二次项系数的因素加进去 ，并使得其更加有利于复杂一些的问题的求解 。为此，我们使用一个类来管理这个求解的问 题，先写一个对这个类进行声明的头文件 EllipticEquation.h-Use AFEPack package for solving variable coefficient elliptic quadratic equation. In solving this problem, the first to organize the structure of the procedure will change coefficient of quadratic terms added to the list of factors, and make it more conducive to the complexity of some of the problem solving. To this end, we use a class to manage to solve this problem, first write a statement of this type for the header files EllipticEquation.h

计算光子晶体能带的程序，用matlab编写，比较容易理解！-photonic crystals can be calculated with the procedures used Matlab to prepare, easier to understand!

IBE基于身份的加密系统的身份提取程序，使用VC6.0开发，即把身份转换成椭圆曲线上的点

lagrange插值以及演示runge现象的代码-Hangzhou interpolation and demonstration Runge phenomenon code

基于动态规划的Job-Shop调度问题

数据挖掘中的聚类算法程序演示参考 dbscan for C# -data mining algorithms procedures demonstration dbscan reference for C#

The cart with an inverted pendulum, shown below, is "bumped" with an impulse force, F. Determine the dynamic equations of motion for the system, and lin earize about the pendulum s angle, theta = Pi (in other words, assume that p endulum does not move more than a few degrees away from the vertical, chosen to be at an angle of Pi). Find a controller to satisfy all of the design re quirements given below. -The cart with an inverted pendulum, shown below, is "bumped" with an impulse force, F. Determine the dynamic equations of motion for the system, and lin earize about the pendulum s angle, theta = Pi (in other words, assume that p endulum does not move more than a few degrees away from the vertical, chosen to be at an angle of Pi). Find a controller to satisfy all of the design re quirements given below.

著名的迭代就近点算法（icp）的源代码，在20世纪80年代中期，很多学者开始对点集数据的配准进行了大量研究。1987年，Horn[1]、Arun[2]等人用四元数法提出点集对点集配准方法。这种点集与点集坐标系匹配算法通过实践证明是一个解决复杂配准问题的关键方法。1992年，计算机视觉研究者Besl和Mckay[3]介绍了一种高层次的基于自由形态曲面的配准方法，也称为迭代就近点法ICP（Iterative Closest Point）。以点集对点集（PSTPS）配准方法为基础，他们阐述了一种曲面拟合算法，该算法是基于四元数的点集到点集配准方法。从测量点集中确定其对应的就近点点集后，运用Faugera和Hebert提出的方法计算新的就近点点集。用该方法进行迭代计算，直到残差平方和所构成的目标函数值不变，结束迭代过程。ICP配准法主要用于解决基于自由形态曲面的配准问题。