lms

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)

Matlab中图像函数大全2010(免费版)(Matlab image function in Daquan 2010 (free version))

将Matlab中现成的数学函数编译为动态链接库，供VC调用，可以省去工程应用中要编写各种C++数学算法的烦恼。这几个工程是我总结的几个案例，分别是VC6.0和VS2008下调用Matlab r2010a生成的dll的例子，还包括2个我自己做的矩阵求逆和数值积分的例子。(Will be ready in Matlab mathematical functions compiled to a dynamic link library for VC call, eliminating the need to write a variety of engineering applications in C++ mathematical algorithms trouble. These projects is a summary of a few cases, respectively, under VC6.0 and VS2008 dll call Matlab r2010a generated examples, including two of my own to do matrix inversion and numerical integration example.)

HDF5的中文使用说明，找了很久才找到的资料，HDF5编程的很好的入门资料。(The Chinese use HDF5, looking for a long time to find information, HDF5 programming is a good introductory information.)

code for matlab simulation o fsensor nettworks

Histogram of letters and pair of letters from a text file.

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

用牛顿拉夫逊法解潮流方程 电力系统 潮流 (Newton Raphson power flow solution flow equations)

example to learn Neural Net to learn a simple 2-D Classification Task

This is about doppler normalization for satelit communication simulation with 2.4 Ghz freq. You can change the frequency for know about doppler efek maxsimum and minimum.