Programming_with_C++,_Theory_and_Problem（绝对高清PDF！）下载

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适合有一定经验的C++程序员学习！国外的经典教材！
人格保证，绝对高清！PDF版！
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适合有一定经验的C++程序员学习！国外的经典教材！人格保证，绝对高清！PDF版！

在实际开发项目中，使用MATLAB的神经网络工具箱和模糊逻辑工具箱设计算法然后用Coder将算法转换为高级语言。然后使用过Coder的用户就知道，一定有部分应用场景需要直接用高级语言编写算法。这本书就是为此目的编写。书是以网页形式组织的，其中ewtoc.htm是目录。主要章节如下。 ------------------------------------------------------------- • Chapter 1 gives you an overview of neural network terminology and nomenclature. You discover that neural nets are capable of solving complex problems with parallel computational architectures. The Hopfield network and feedforward network are introduced in this chapter. • Chapter 2 introduces C++ and object orientation. You learn the benefits of object-oriented programming and its basic concepts. • Chapter 3 introduces fuzzy logic, a technology that is fairly synergistic with neural network problem solving. You learn about math with fuzzy sets as well as how you can build a simple fuzzifier in C++. • Chapter 4 introduces you to two of the simplest, yet very representative, models of: the Hopfield network, the Perceptron network, and their C++ implementations. • Chapter 5 is a survey of neural network models. This chapter describes the features of several models, describes threshold functions, and develops concepts in neural networks. • Chapter 6 focuses on learning and training paradigms. It introduces the concepts of supervised and unsupervised learning, self-organization and topics including backpropagation of errors, radial basis function networks, and conjugate gradient methods. • Chapter 7 goes through the construction of a backpropagation simulator. You will find this simulator useful in later chapters also. C++ classes and features are detailed in this chapter. • Chapter 8 covers the Bidirectional Associative memories for associating pairs of patterns. • Chapter 9 introduces Fuzzy Associative memories for associating pairs of fuzzy sets. • Chapter 10 covers the Adaptive Resonance Theory of Grossberg. You will have a chance to experiment with a program that illustrates the working of this theory. • Chapters 11 and 12 discuss the Self-Organizing map of Teuvo Kohonen and its application to pattern recognition. • Chapter 13 continues the discussion of the backpropagation simulator, with enhancements made to the simulator to include momentum and noise during training. • Chapter 14 applies backpropagation to the problem of financial forecasting, discusses setting up a backpropagation network with 15 input variables and 200 test cases to run a simulation. The problem is approached via a systematic 12-step approach for preprocessing data and setting up the problem. You will find a number of examples of financial forecasting highlighted from the literature. A resource guide for neural networks in finance is included for people who would like more information about this area. • Chapter 15 deals with nonlinear optimization with a thorough discussion of the Traveling Salesperson problem. You learn the formulation by Hopfield and the approach of Kohonen. • Chapter 16 treats two application areas of fuzzy logic: fuzzy control systems and fuzzy databases. This chapter also expands on fuzzy relations and fuzzy set theory with several examples. • Chapter 17 discusses some of the latest applications using neural networks and fuzzy logic.

This book is about the usage of data structures and algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a C++ language developer. You are not an expert in C++ language, but you are well familiar with concepts of references, functions, arrays and recursion. In the start of this book, we will be revising the C++ language fundamentals that will be used throughout this book. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a linked list, stack, queue, trees, heap, hash table and graphs. We will be looking into sorting, searching techniques. Then we will be looking into algorithm analysis, we will be looking into brute force algorithms, greedy algorithms, divide and conquer algorithms, dynamic programming, reduction, and backtracking. In the end, we will be looking into the system design that will give a systematic approach for solving the design problems in an Interview. Table of Contents CHAPTER 1: INTRODUCTION - PROGRAMMING OVERVIEW CHAPTER 2: ALGORITHMS ANALYSIS CHAPTER 3: APPROACH TO SOLVE ALGORITHM DESIGN PROBLEMS CHAPTER 4: ABSTRACT DATA TYPE & C++ COLLECTIONS CHAPTER 5: SEARCHING CHAPTER 6: SORTING CHAPTER 7: LINKED LIST CHAPTER 8: STACK CHAPTER 9: QUEUE CHAPTER 10: TREE CHAPTER 11: PRIORITY QUEUE CHAPTER 12: HASH-TABLE CHAPTER 13: GRAPHS CHAPTER 14: STRING ALGORITHMS CHAPTER 15: ALGORITHM DESIGN TECHNIQUES CHAPTER 16: BRUTE FORCE ALGORITHM CHAPTER 17: GREEDY ALGORITHM CHAPTER 18: DIVIDE-AND-CONQUER, DECREASE-AND-CONQUER CHAPTER 19: DYNAMIC PROGRAMMING CHAPTER 20: BACKTRACKING AND BRANCH-AND-BOUND CHAPTER 21: COMPLEXITY THEORY AND NP COMPLETENESS CHAPTER 22: INTERVIEW STRATEGY CHAPTER 23: SYSTEM DESIGN

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms

Data Structure And Algorithms : Algorithm Theory - SWAT 2002 - M. Penttonen ALGORITHMS - ROBERT SEDGEWICK Algorithms and Data Structures - Niklaus Wirth Algorithms and Data Structures in CPlusPlus - Alan Parker Algorithms and Data Structures The Science of Computing - Douglas Baldwin Algorithms in Java, 3rd Ed, Part 1-4 - Robert Sedgewick Algorithms in Java, 3rd Ed, Part 5 Graph Algorithms - Robert Sedgewick C Algorithms For Real Time DsP - Paul Embree C and Data Structures - P.S. Deshpande C++ Data Structures 3rd ed - Nell Dale CPlusPlus Plus Data Structures, 3rd Ed - Nell Dale Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek Data Structure And Algorithms In Java - Mitchel Waite Data Structure For Game Programers - Ron Penton Data Structures & Algorithms in Java - Robert Lafore Data Structures and Algorithm Analysis in C - Mark Allen Weiss Data Structures and Algorithms - Alfred V. Aho Data Structures and Algorithms 3 Multi-dimensional Searching and Computational Geometry - Kurt Mehlhorn Data Structures and Algorithms in Java - Peter Drake Data Structures and Algorithms in Java - Robert Lafore DATA STRUCTURES AND ALGORITHMS USING VISUAL BASIC.NET - MICHAEL MCMILLAN Data Structures and Algorithms with Object-Oriented Design Patterns in CPlusPlus - Bruno R. Preiss Data Structures and Algorithms with Object-Oriented Design Patterns in CSharp - Bruno R. Preiss Data Structures and Algorithms with Object-Oriented Design Patterns in Java - Bruno R. Preiss Data Structures and Algorithms with Object-Oriented Design Patterns in Python - Bruno R. Preiss Data Structures And Problem Solving Using C++ 2nd ed - Mark Weiss Data Structures and Program Design in C++ - Robert L. Kruse Data Structures Demystified - Jim Keogh DATA STRUCTURES IN JAVA A Laboratory Course - Sandra Andersen Data Structures, Algorithms and Program Style Using C - James F. Korsh Dictionaryof Algorithms and Data Structures Fundamentals of Data Structures - Ellis Horowitz Fundamentals of OOP and Data Structures in Java - Richard Wiener Garbage Collection Algorithms For Automatic Dynamic Memory Management - Richard Jones Handbook of Algorithms and Data Structures In Pascal and C 2nd Ed - G.H. Gonnet Information Retrieval Data Structures & Algorithms - William B. Frakes Introduction to Algorithms, 2nd Ed - Thomas H. Cormen Numerical Recipes in C The Art of Scientific Computing 2nd Ed - William H. Press Object-Oriented Data Structures Using Java - Nell Dale Teach Yourself Data Structures And Algorithms In 24 hours - Robert Lafore The Art Of Computer Programming 2nd ed Vol3 - Donald Knuth The Art Of Computer Programming 3rd ed Vol1 - Donald Knuth The Art Of Computer Programming 3rd ed Vol2 - Donald Knuth The Design And Analysis Of Spatial Data Structures - Hanan Samet The Tomes of Delphi Algorithms and Data Structures - Julian Bucknall

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