Matlab-Models-for-PHY

说明：  matlab写的关于BA无标度网络的代码(scale-free complex networks sourcecode)

说明：  图像滤波，高斯，均值，中值，滤波源代码 Image Filtering/dftfilt.m, Image Filtering/directinv.m, Image Filtering/gaussianLR.m, Image Filtering/medianfilt.m, Image Filtering/rgblaplacian.m, Image Filtering/rgbspatial.m, Image Filtering/spatial.m, Image Filtering/wiener.m (Image filtering, Gaussian, mean, median)

关于multiview active learning的资料(Information on multiview active learning )

matlab 模糊数学应用的一本非常好的书籍(Application of fuzzy mathematics matlab' s a very good book)

采用的是通用的平面波展开法,汽车课设货车Matlab驱动力图程序，光纤陀螺输出误差的allan方差分析。( Using common plane wave expansion method, Car class-based truck driver trying to Matlab program, allan FOG output error variance analysis.)

MATLAB7_0基础教程_清华大学 希望需要的朋友自己看看哦 matlab是我们重要的工具~！(_ Tsinghua University tutorial basic MATLAB7_0 hope to see their own friends required Oh matlab are important tools for us ~!)

重要的格林函数程序，好不容易找到的，希望对大家有用(the matlab code of Green function)

通过建立状态空间模型，使用simulink仿真，其中包括了kalman滤波(Through the establishment of the state space model, using the simulink simulation, including the kalman filter)

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.)

密勒编译码的simulink实现，经过验证可用，希望对大家有所帮助(endoder and decoder of millerer based on simulink)