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FDTD_CPML_1d Matlab code

对心直动凸轮机构压力角的计算，能够实现简单的计算，属于基础教程(On the heart straight moving cam pressure angle computation)

SVM EEG signal classification

BPSK modulation and demodulation in matlab and comparison

进行图像边缘检测的程序，学图像处理的会有很大帮助(Image edge detection procedure, learning image processing would be of considerable help)

lorentz 函数拟合 (lorentz function fit)

利用matlab做noaa下载地形数据topo可视化图 例子是渤海地区 topo是全球地形数据 较全面(Do the noaa download terrain data topo visual diagram example using matlab is the Bohai region topo is the comprehensive global terrain data)

MATLAB Books CollectionChemical Process Control a First Course with Matlab - P.C. Chau.rar

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)

迭代功率选择，运用博弈论循环迭代功率分配策略，使系统性能达到最优(Iterative power selection and iterative power allocation strategy based on game theory make the system performance optimal.)