vblast

This code performs weigthed linear discriminant analysis. Weights are applied to observations.

遗传算法解决tsp问题的MATLAB程序，详细源码。(Genetic algorithms to solve tsp problems MATLAB program, a detailed source.)

数学建模教案 排队论 图论 线性规划 整数规划 混合规划(Mathematical modeling of graph theory, queuing theory lesson plans linear programming mixed integer programming planning)

雷达杂波的matlab仿真程序。包含各种概率和分布(Matlab radar clutter simulation program. Includes a variety of probability and distribution)

相干光通信接收端补偿MATLAB代码以及Optisystem仿真系统文件(Compensation MATLAB code for receiver terminal of coherent optical communication)

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：  文件中包含掌握与精通Matlab书中的所有程序源代码。(File contains the master and the master book, all of the programs Matlab source code.)

it is about wimax,which is the most important technology .

说明：  Simulation for comparison of DVR and Other compensating devices

求解抛物型方程的交替隐方向P-R差分格式的matlab程序实现。不过大家在用的时候要用到原函数f.m和精确解函数uexact.m，应用程序的时候只要修改精确解和右端项就可以了。(Solving Parabolic Equations PR alternating direction implicit difference scheme of matlab program. But we can use the time to use the original function fm and the exact solution function uexact.m, whenever an application to amend the exact solution and the right side of it.)