Bernese

说明：  通过本书，读者不仅能掌握使用R及相关算法包来快速解决实际问题的方法，而且能从实际问题分析入手，到利用R进行求解，以及对挖掘结果进行分析的全面训练(Through this book, readers can not only master the method of using R and relevant algorithm packages to quickly solve practical problems, but also start from the analysis of practical problems to the comprehensive training of using R to solve problems and analyzing mining results)

运筹学是现代管理学的一门重要专业基础课。它是20世纪30年代初发展起来的一门新兴学科，其主要目的是在决策时为管理人员提供科学依据，是实现有效管理、正确决策和现代化管理的重要方法之一。该学科是一应用数学和形式科学的跨领域研究，利用统计学、数学模型和算法等方法，去寻找复杂问题中的最佳或近似最佳的解答。运筹学经常用于解决现实生活中的复杂问题，特别是改善或优化现有系统的效率。 研究运筹学的基础知识包括实分析、矩阵论、随机过程、离散数学和算法基础等。而在应用方面，多与仓储、物流、算法等领域相关。因此运筹学与应用数学、工业工程、计算机科学、经济管理等专业密切相关。( Operations research is an important basic course of modern management. It is the beginning of the 1930s developed a new discipline, its main purpose is to provide management decision-making scientific basis, it is to achieve effective management, one of the important decisions the right way and modern management. The interdisciplinary research discipline is a form of applied mathematics and science, using statistical, mathematical models and algorithms and other methods to find the complex issues in the best or near-best solution. Operations research is often used to solve complex problems in real life, especially to improve or optimize the efficiency of existing systems. Basics of operations research include real analysis, matrix theory, stochastic processes, discrete mathematics and algorithms base and the like. In the application, more associated with warehousing, logistics, algorithms and other fields. Therefore, operations research is closely related to applied mathematics, indu)

本书基于Fluent 6.2.16版本、Gambit 2.2.30版本和Tecplot 10.0版本，共13章。全书首先详细介绍了Fluent软件及其相关的理论知识，然后通过典型的实例来讲解Fluent在传热、传质及流场等实际工程中的应用方法和技巧，包括运动部件的速度场模拟、UDF和UDS的使用、并行计算的设置、计算区域的绘制和边界条件的定义、Tecplot的数据处理等。每个实例都有详细的说明与详尽的操作步骤，读者只要按照书中的指示与方法操作，即可完成一个具体问题的数值模拟与分析，进而逐步掌握利用Fluent进行流体流动数值模拟的基本方法。 (Fluent 6.2.16 Based on the book version, Gambit 2.2.30 version and the version of Tecplot 10.0, Chapter 13. First of all, the book detailed the Fluent software and its related theoretical knowledge, and then through a typical example to explain Fluent in heat transfer, mass transfer and flow field, such as practical engineering methods and techniques, including the moving parts of the velocity field simulation, UDF and the use of UDS, parallel computing setting, rendering the calculation region and the definition of boundary conditions, Tecplot' s data processing. Each have a detailed description of examples with detailed steps, readers as long as the book' s instructions and in accordance with the method of operation, to complete a specific question of the numerical simulation and analysis, and gradually master the use of Fluent for numerical simulation of fluid flow of the basic method .)

ansys模拟桥梁受力分析，在桥上有车行驶过时计算出桥梁不同部位受力状况及挠度变化值。(ansys stress analysis simulation bridge, a car traveling on the bridge obsolete bridges in different parts of the calculated force status and changes in the value of deflection.)

说明：  C++大学基础教程，北京邮电大学电信工程学院，计算机技术中心(Essentials C++ University, Beijing University of Posts and Telecommunication Engineering, Computer Technology Center)

本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related theory, combined with the BP neural network, RBF neural network, SVM, SOM neural network, grey neural network, decision tree, random forest, wavelet neural network and NARX neural network, optimization algorithm and neural network.)

非线性优化中的经典算法，LM算法，老外写的，言简意赅，对写优化程序很有用(nonlinear optimization of the classical algorithm, LM algorithm, a foreigner writing is concise and clear and optimization process of writing useful)

经典原版教材 Computer.Architecture.-.A.Quantitative.Approach.4th.ed.-.J.Hennessy,.D.Patterson.(Elsevier,.2007)(Classic original materials Computer.Architecture .-. A.Quantitative.Approach.4th.ed .-. J. Hennessy,. D. Patterson. (Elsevier, .2007))

说明：  一份关于数据挖掘的入门资料，进行了数据挖掘的基本介绍 还介绍了聚类，关联规则，决策树，神经网络(data mining, cluster, classification, Decision tree, Neural network)

Optical communication system book for Matlab