2011 Problem Solving with Algorithms and Data Structures Using Python 2nd ed

计算机领域基础理论的经典教材，介绍了解决NP问题时常用的近似算法，非常清晰实用的算法入门教材，适用于计算机及其相关学科的本科生、研究生，以及从业者阅读。

完整版，里面是扫描的，还算清楚。资源中还包括书中的代码。

ROS路径规划，BUG2算法实现

Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms 2012.pdf以及配套的模型（.mat文件）和全部matlab代码 由于附赠了代码，所以极其适合初学者，可以边理解边调试 学ISAR值得一看的书籍

An Introduction to Genetic Algorithms Mitchell Melanie A Bradford Book The MIT Press Cambridge, Massachusetts • London, England Fifth printing, 1999

One of the most exciting recent developments in machine learning is the discovery and elaboration of kernel methods for classification and regression. These algorithms combine three important ideas into a very successful whole. From mathematical programming, they exploit quadratic programming algorithms for convex optimization; from mathematical analysis, they borrow the idea of kernel representations; and from machine learning theory, they adopt the objective of finding the maximum-margin classifier. After the initial development of support vector machines, there has been an explosion of kernel-based methods. Ralf Herbrich’s Learning Kernel Classifiers is an authoritative treatment of support vector machines and related kernel classification and regression methods. The book examines these methods both from an algorithmic perspective and from the point of view of learning theory. The book’s extensive appendices provide pseudo-code for all of the algorithms and proofs for all of the theoretical results. The outcome is a volume that will be a valuable classroom textbook as well as a reference for researchers in this exciting area. The goal of building systems that can adapt to their environment and learn from their experience has attracted researchers from many fields, including computer science, engineering, mathematics, physics, neuroscience, and cognitive science. Out of this research has come a wide variety of learning techniques that have the potential to transform many scientific and industrial fields. Recently, several research communities have begun to converge on a common set of issues surrounding supervised, unsupervised, and reinforcement learning problems. TheMIT Press series on Adaptive Computation and Machine Learning seeks to unify the many diverse strands of machine learning research and to foster high quality research and innovative applications. Thomas Dietterich

本压缩文件夹包含 一本英文原版书 《Numerical Methods of Exploration Seismology with algorithms in MATLAB》的PDF版本以及书中的Matlab代码。

Nonlinear Model Predictive Control Theory and Algorithms 非线性模型预测控制以及对应的PPT

遗传和蚁群优化算法(C++) Genetic_and_Ant_Algorithms_src,遗传和蚁群优化算法(C++) Genetic_and_Ant_Algorithms_src,遗传和蚁群优化算法(C++) Genetic_and_Ant_Algorithms_src