msk1

数学建模中画散点图，伪彩色图，等高线图，三维曲面图；数据可以从excel中直接导入(Mathematical modeling of scatter diagram, pseudo color map, contour map, 3-D surface chart data the excel directly.)

实现复合辛普森公式、隆贝格算法、复合高斯公式求解数值积分，并有案例(Achieve a composite Simpson formula, Long Beige algorithm, Gauss formula for solving complex numerical integration, and there have been cases)

this source code is chp6ex14 matlab

根据标记图用不同颜色给图像叠加标记。可以用于图像边缘和中心凸现(marker map with different colors to the image superimposed marker. Edge can be used to highlight and center)

[X,Y,Z] = k_clique(k,A) Inputs: k - clique size A - adjacency matrix Outputs: X - detected communities Y - all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z - k-clique matrix(k-clique algorithm as defined in the paper Uncovering the overlapping community structure of complex networks in nature and society - G. Palla, I. Derényi, I. Farkas, and T. Vicsek- Nature 435, 814–818 (2005))

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

说明：  将ELCentro波的加速度时程转换成速度、位移时程(Converting the acceleration time history of ELCentro wave into velocity and displacement time history)

matlab file .. it is very important.i t is a a a very very very imp file.

matlab file newly created

intrinsic image decomposition