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1下载：
这是一个MATLAB中文工具箱，提供了很多有用的，MATLAB自身没有的数学建模的源码，例如：数据拟合，微积分和微分方程，随机模拟和统计分析，数学规划，离散优化等，并有中文的注释。非常好！-This is a MATLAB toolbox Chinese, providing a lot of useful, MATLAB does not own the source of mathematical modeling, such as: data fitting, calculus and d
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优化问题分类：（非）线性规划、整数规划、0-1 规划、（多）目标规划、（与时间有关的）动态规划、（系数是随机变量的）随机规划。 -Optimization problem categories: (non-) linear programming, integer programming ,0-1 plan, (multiple) goal programming, (and time-related) dynamic programming, (coefficient is a random
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混合智能算法：采用人工神经网络对不确定性函数与及约束进行拟合，并采用pso算法求解考虑多个风电节点的IEEE33节点系统随机规划模型。-Hybrid intelligent algorithm: the use of artificial neural network to fit the function of the uncertainty and constraint, and using pso algorithm considering IEEE33 node system stoch
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LCMV优化设计阵列处理信号，DC-DC部分采用定功率单环控制，可以动态调节运行环境的参数，利用matlab GUI实现的串口编程例子，插值与拟合，解方程，数据分析，有信道编码，调制，信道估计等，包括随机梯度算法，相对梯度算法，抑制载波型差分相位调制。- LCMV optimization design array signal processing, DC-DC power single-part set-loop control, Can dynamically adjust the par
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包括随机梯度算法，相对梯度算法，包含特征值与特征向量的提取、训练样本以及最后的识别，非归零型差分相位调制信号建模与仿真分析 ，基于matlab GUI界面设计,利用matlab GUI实现的串口编程例子，用MATLAB实现的压缩传感。- Including stochastic gradient algorithm, the relative gradient algorithm, Contains the eigenvalue and eigenvector extraction, the t
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利用matlab GUI实现的串口编程例子，可实现对二维数据的聚类，多姿态，多角度，有不同光照,构成不同频率的调制信号，进行波形数据分析,多元数据分析的主分量分析投影，包括随机梯度算法，相对梯度算法，针对EMD方法的不足。
- Use serial programming examples matlab GUI implementation, Can realize the two-dimensional data clustering, Much posture, multi-angle,
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高等数学常用Ｍａｔｌａｂ程序的源代码，其中包含：方程求根，离散优化，数据拟合，数学规划，随机模拟，统计分析，图形呈现，微积分，微分方程的源代码．-Higher mathematics commonly used matlab program source code, which includes: a root of equation, discrete optimization, data fitting, mathematical programming, stochastic simula
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《随机规划与模糊规划》5.5节的例子：基于随机模拟的遗传算法matlab代码-< stochastic programming and fuzzy programming >5.5 examples: stochastic simulation based genetic algorithm matlab code
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IEEE 30 BUS SYSTEM Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
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Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for
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3下载：
求解随机动态规划的MATLAB程序，有需要的请下载(Solving stochastic dynamic programming)
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