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该程序是用于求解信赖域子问题的Powell dogleg方法(This routine solves the trust region subproblem by Powell s dogleg method.)

MATLAB已成为多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型应用软件，目前的最高版本是6.0版。本教程以6.0版为基础，从高等工科院校的数学课程出发，提供了使用MATLAB的实践性指导。本教程以教学的手段，系统详细地介绍了MATLAB在高等数学、数值分析、函数作图、线性代数、概率统计和优化理论中的应用，并配备了大量的例题，让读者能很快掌握MATLAB的运算技巧。 本教程按逻辑编排，自始至终用实例描述，既适用于初学者自学，也适用于高级MATLAB用户。可作为高等数学、数值分析、工程数学、数学建模、线性规划等课程的教学参考书，也可作为科技工作者学习和使用MATLAB的参考书，还可作为数学实验的教学用书，特别适合用作理工科大学生学习数学课程的教学辅导书。 本教程的光盘内容详尽、实例丰富：包含了MATLAB实例的源文件，函数/命令及注解，程序实例。(MATLAB has become a multi-disciplinary, multi-working platform powerful, user-friendly, language, natural and open and strong large-scale software applications, currently the highest version is 6.0. This tutorial with version 6.0 as the foundation, the mathematics curriculum in engineering colleges starting to provide a practical guide for using MATLAB. This tutorial with a medium of instruction, the system described in detail MATLAB in advanced mathematics, numerical analysis, function graphing, linear algebra, probability and statistics and optimization theory, application, and is equipped with a large number of Example, so that readers can quickly grasp the MATLAB computing skills. This tutorial logically arranged from beginning to end examples describing both self-study for beginners, but also to advanced MATLAB users. Can be used as advanced mathematics, numerical analysis, engineering, mathematics, mathematical modeling, linear programming courses teaching reference books, but )

衰落信道下的盲估计研究MIMO-OFDM,ofdm子空间仿真程序(ofdm)

遗传算法优化支持向量机程序，用于参数寻优，提高分类率(Genetic algorithm optimization support vector machine program)

经典卡尔曼滤波预测程序，基于观测数据更新，对未来数据进行预测(KALMANF- updates a system state vector estimate based upon an observation, using a discrete Kalman filter.)

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

este es el ejercicio 3 de ssd3 de icarnegie

关于MATLAB与双馈风机接口计算智能算法(About MATLAB and DFIG computational intelligence algorithms Interface)

lvq财务预测MATLAB程序。通过财务数据预测财务风险(lvq finacial forecast)

matlab很好的微电网算法实例 可以在matlab上运行(Matlab a good example of a microgrid algorithm can run on MATLAB)