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This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user

matlab simulation of linear metro

LDPC MATLAB工具箱，提供LDPC编解码程序(LDPC MATLAB Toolbox provides procedures LDPC Codec)

系统参数变化，用集合卡尔曼滤波器估计其变化(System parameters used to estimate the changes in the ensemble Kalman filter)

基于k近邻规则的PCA方法，改进的主元分析法用于故障诊断(PCA based on KNN)

二维变分模态分解可于图象处理等，最新的自适应分解方法(2D Variational Mode Decomposition，WHICH CAN BE USED FOR IMAGE )

RD 算法----SAR点目标仿真 结果还是比较不错的。(RD algorithm---- SAR point target simulation results is quite good.)

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)

说明：  模拟退火算法仿真函数最值问题和TSP问题(Simulated annealing algorithm simulation function maximum value problem and TSP problem)

This tutorial deals with the rootfinding, interpolation, numerical differentiation and integration and numerical solutions of the ordinary differential equations.