shenjingwangluo

一个关于最速法的，matlab程序。经试验，效果很好。(A law on the most speed, matlab program. After testing, the effect is very good.)

book for matlab for beginners

多目标粒子群算法求解模糊多目标的问题，快速有效。(Application of Multi-Objective Particle Swarm Optimization to Solve a Fuzzy Multi-Objective Reliability Redundancy Allocation Problem)

说明：  The concerns for environment due the ever increasing use of fossil fuels and rapid depletion of this resource have led to the development of alternative source of energy such as solar energy. This paper proposes that how to increase the efficiency of a solar PV energy system by the advancement in conventional DC to DC Boost converter. This paper also proposes the study of open loop systems with elevated step-up conversion and step amplify in input voltage. An improved DC to DC boost converter is modeled and simulated using MATLAB. This improved boost converter provides the constant output voltage irrespective of the variable output voltage. The simulation results of this system are presented and compared. The result of the improved boost converter is also compared with the conventional boost converter. This result verifies that with the minimum number of components the proposed improved boost converter system has the advantages of high efficiency.

基于matlab的LLE算法代码，是人脸识别代码中的子程序(LLE algorithm matlab-based code, the code is a subroutine face recognition)

Dynamic program of unit commitment in power system

说明：  使用先进的人工鱼群算法求解线性约束规划，此代码为原创，带注释，易读。(The use of advanced artificial fish school algorithm for solving linear constrained programming, the code for the original, with annotations, easy to read.)

基于SFBC-OFDM系统的信道估计源代码，包含各种相关的算法(SFBC- OFDM system channel estimation source code, including a variety of related algorithms )

直驱永磁同步风力发电机模型，内部有详细的建模细节，可供初学者学习(Direct drive permanent magnet synchronous generator model, a detailed modeling of internal details, for beginners to learn)

Newton-Raphson算法 介绍 在科学计算和财经工程领域，许多数值算法都是通用的（至少在理论上是），可广泛地用于解决一类问题。一个大家熟悉的例子就是Newton-Raphson例程，它可用来寻找方程 f(x)=0的数值解。标准的数学表达式f(x)表示f是变量x的函数，其通常的表达形式为f(x,a,b,...)=0，f被定义为多于一个变量的函数。在这种情况下，Newton-Raphson算法试图把x以外的变量固定并作为参数，而寻找关于变量x的数值解。 由于Newton-Raphson算法需要知道被求解函数的确切表达，其传统实现方法是直接将代码嵌入到客户应用程序中。这就使得算法的实现代码经过针对不同被求解函数的少量修改后在客户程序中反复出现。 同许多其它数学例程一样，Newton-Raphson算法的具体实现是应该与特定用户无关的。并且，重复编码在任何情况下都应该尽量避免。我们很自然地会想到把该类例程作为库函数来实现，以使客户程序可以直接调用它们。但是，这种实现方式必然会涉及到如何将用户自定义函数（Newton-Raphson 例程需要调用该函数）封装成可以作为参数传递的形式。 (err)