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最速下降法优化，无约束，可以自己改进。很容易懂有简单的说明。(Steepest descent method optimization, non-binding, can improve. There is a simple easy to understand explanation.)

说明：  MATLAB编程教材，从基础讲起，让你一步步进入到MATLAB的世界~(matlab programing tutorial)

修正的lms算法，我做毕设的资料，希望对大家有帮助(Modified lms algorithm, I do complete data set, we want to help)

使用虚拟处理器的SPMD 并行程序，我将介绍使用虚拟处理器的一些结果 技术，并行计算程序的一些SPMD。 “ 测试的技术真正的处理器是英特尔超线程， 和程序，浮点计算的MATLAB脚本。 工作的关注实用和限制的结论 使用的方法。主要结果是，使用虚拟处理器 不仅为改善并行程序是一个很好的技术 基于内存的计算，但在大量的磁盘存储的情况下 操作太多。 (Using virtual processors for SPMD parallel programs，I describe some results on the use of virtual processors technology for parallelize some SPMD computational programs. The tested technology is the INTEL Hyper Threading on real processors, and the programs are MATLAB scripts for floating points computation. The conclusions of the work concern on the utility and limits of the used approach. The main result is that using virtual processors is a good technique for improving parallel programs not only for memory-based computations, but in the case of massive disk-storage operations too)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)

石油勘探地震资料处理标准数据输入源代码,保证能用(seismic data processing disk input)

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复(From sensor array beamforming is reconstructing source signal.(1), by increasing the expected source contribution to achieve (2), by suppressing interference sources.Classic beamforming need observation direction (expected source direction).Blind beamforming is trying to not expect source direction information of source of recovery)

Comme les autres régimes d’états liés présentés précédemment, l’état de quatre impulsions est très sensible à l’énergie de saturation et au gain petit signal. Quand l’énergie de saturation (respectivement le gain petit signal) varie dans la gamme de quelques pJ

Automatically downloads financial data for given indices, represents the combined portfolio and optimizes the allocation.