cdrom

联邦卡尔曼很好的文献，里面是联邦卡尔曼的结构设计，对于编写联邦卡尔曼程序的编写有帮助(Federal Kalman good literature, which is the structural design of the Federal Kalman, Kalman federal program to prepare for writing helpful)

DMC预测控制matlab算法仿真实例，是自己选的一个控制系统区仿真(DMC predictive control algorithm matlab simulation examples)

本书系统介绍了图论重要算法的思想及其 MATLAB实现，可供数学、计算机科学、工程科学等学科中相关专业的大学生、研究生阅读,也可供相关专 业研究人员参考。(This book systematically introduces the idea of the important algorithm of graph theory and its MATLAB implementation, which can be read by college students and graduate students majoring in mathematics, computer science, engineering science and other disciplines, and can also be referred to by researchers specializing in related fields.)

说明：  结合MATLAB的优点来更好的实现DSP中的相应功能(Combining the advantages of MATLAB to better achieve the corresponding functions in DSP)

实现图像的降维处理,可以缩短大量的计算时间。(Dimensionality reduction of image processing, a lot of computation time can be shortened.)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)

matlab的一种基于密度的聚类方法，和划分方法和中心计算方法比较效果较好(matlab a density-based clustering method, and the division method and the calculation of comparative effectiveness center is better)

this help u lots of imn mat labcoding bult lasa much mor coding in networkis

emd分解中采用多项式拟合算法消除边界效应(emd decomposition of polynomial fitting algorithm is used to eliminate the boundary effect)

这里面是概率论与数理统计的一部教材，PDF格式。(Probability theory and mathematical statistics a textbook, PDF format)