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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。-This tutorial to version 6.0, based on engineering colleges from the mathematics curriculum, the use of MATLAB to p
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AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
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粒子群算法进行数值试验的程序,可作为基础学习所用-Particle swarm optimization numerical test procedure can be used as a basis for learning
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Tinger FDTD 是一款基于 FDTD 算法的二维全矢量电磁场数值模拟软件,可应用于光电、微波、电磁等器件及一般光学器件的仿真、设计优化和教学,也可用于光子晶体和特异材料等现代光子学的研究。利用该软件的数值模拟功能,弥补了无法进行实验验证的缺陷。该软件具有广泛的平台通用性,可以在 Windows、linux、嵌入式 Linux 等平台中运行。并具有友好的图形化界面,为软件使用者提供方便。Tinger FDTD完美支持简体中文和英文,并可以动态切换语言。 -Tinger FDTD algor
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A more demanding class of optimization problems stems from general maximum likelihood estimation. As long as the likelihood function can be considered as being globally convex, efficient numerical methods are available to solve the optimization probl
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改进的最速梯度下降法,优于数值优化,matlab实现-Improved the speed gradient descent method, which is higher than that of numerical optimization
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BACKTRACING SEARCH OPTIMIZATION ALGORTIHM PROPOSED FOR NUMERICAL OPTIMIZATION PROBLEMS, IMPLEMENTED IN MATLAB, FAST, SIMPLE, EFFICIENT
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最优化最速下降方法,利用了非精确步长搜索 armijo、Wolfe方式,并利用两个算例进行演示-Optimization of steepest descent method, using the inexact search step length armijo, Wolfe method, and the use of two examples for demonstration
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有CDF三角函数曲线/三维曲线图,数值分析的EULER法,LCMV优化设计阵列处理信号。- There CDF trigonometric curve/3D graphs, EULER numerical analysis method, LCMV optimization design array signal processing.
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可实现对二维数据的聚类,LCMV优化设计阵列处理信号,该函数用来计算任意函数的一阶偏导数(数值方法)。- Can realize the two-dimensional data clustering, LCMV optimization design array signal processing, This function is used to calculate the arbitrary function of the first order partial derivative (n
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包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,大学数值分析算法,包含优化类的几个简单示例程序。- Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, University of numerical analysis algorithms, Optimization class contains several simple sam
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一个基于细菌觅食优化算法求解多目标问题的算例,提供参考-A bacterial foraging optimization algorithm based on multi-objective numerical examples, reference
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数值分析的EULER法,LCMV优化设计阵列处理信号,高斯白噪声的生成程序。- EULER numerical analysis method, LCMV optimization design array signal processing, Gaussian white noise generator.
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,遗传算法无功优化,微分方程组数值解方法。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Genetic algorithm based reactive power optimization, Numerical solution of differential e
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该函数用来计算任意函数的一阶偏导数(数值方法),单径或多径瑞利衰落信道仿真,遗传算法无功优化。- This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Single path or multipath Rayleigh fading channel simulation, Genetic algorithm based
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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the a
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DEPSO, or called DEPS, is an algorithm for (constrained) numerical optimization problem (NOP). DEPSO combines the advantages of Particle Swarm Optimization (PSO) and Differential Evolution (DE). It is incorporated into cooperative group optimization
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粒子群寻优代码,可以获得水环境、气象等数值模型的最优值(The optimal value of the numerical model of water environment and meteorology can be obtained by the particle swarm optimization code.)
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用遗传算法DE算法求解数值优化问题,实现了一个函数(Solving numerical optimization problems with DE algorithm)
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双向渐进结构优化法(BESO )是近年来兴起的一种解决各类结构优化问题的数值方法。其原理是通过同时删除和增补单元,使剩下的结构逐渐趋于优化。(Bidirectional Evolutionary Structural Optimization (BESO) is a numerical method which has been developed in recent years to solve various structural optimization problems. Its pri
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