Generic Algorithms And Data Structures Using C 11
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Author | : Sergei Nakariakov |
Publisher | : Createspace Independent Pub |
Total Pages | : 564 |
Release | : 2013-04-01 |
Genre | : Computers |
ISBN | : 9781484111543 |
This book contains implementation of generic algorithms and data structures using C++11. I Type Traits 1 Type Functions 2 Extended Function Traits 3 Integer Traits 4 Associated Member Types 5 Member pointers 6 Overloadable operators 7 Reference Traits 8 Type Traits 8.1 All 8.2 Assignable 8.3 Common 8.4 Convertible 8.5 Derived 8.6 Float 8.7 Function 8.8 Identity 8.9 Integer 8.10 Meta 8.11 Relational 8.12 Same 8.13 Select 8.14 Void II Type Concepts 9 Type deduction systems 10 Overloaded Concept Implementations 11 Type Concepts 11.1 Copyable 11.2 Difference Type 11.3 Equality Comparable 11.4 Pointer Of 11.5 Reference Of 11.6 Size Type 11.7 Streamable 11.8 Totally Ordered 11.9 Value Type III Functional Library 12 Functional Library IV Sequence Concepts 13 Sequence Concepts Traits 14 Sequence Concepts 14.1 Iterators 14.2 Ranges 14.3 Readable and Writable 14.4 Traits 15 Range 15.1 Reference Of 15.2 Ranges 16 Range Generator 17 Sequence Algorithms 17.1 Binary Search 17.2 Copy 17.3 Count 17.4 Equal 17.5 Fill 17.6 Find 17.7 For Each 17.8 Generate 17.9 Heap 17.10Lexicographical 17.11Merge 17.12Min Max 17.13Mismatch 17.14Move 17.15Partition 17.16Permutation 17.17Quantifier 17.18Remove 17.19Replace 17.20Reverse 17.21Search 17.22Set 17.23Shuffle 17.24Sort 17.25Transform 17.26Unique 18 Iterators 18.1 Filter 19 Sequence Testing V Memory Concepts 20 Concepts 21 Allocators VI Matrix 22 Matrix Base 23 Slice Iterator 24 Matrix 25 Matrix Reference 26 Matrix Operations 27 Slice 28 Support Operations 29 Matrix Traits 30 Matrix 30.1 1D Matrix 30.2 2D Matrix 30.3 3D Matrix 30.4 Matrix 30.5 Matrix Operations 30.6 Slice Operations 30.7 Solver VII Graph 31 Graph Concepts 32 Interface And Predicates 33 Graph I/O 34 Graph Handle 35 Utilities 36 Graph Edge 37 Adjacency List 37.1 Node Pool 37.2 Directed and Undirected Adjacency List 37.3 Directed and Undirected Adjacency Vector VIII Data 38 Container Concepts 39 Optional Qualifier
Author | : William B. Langdon |
Publisher | : Springer Science & Business Media |
Total Pages | : 288 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461557313 |
Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.
Author | : Rao |
Publisher | : Pearson Education India |
Total Pages | : 578 |
Release | : 1900 |
Genre | : |
ISBN | : 8131753778 |
Data Structures and Algorithms Using C++ helps students master data structures, their algorithms and the analysis of complexities of these algorithms. Each chapter includes an Abstract Data Type (ADT) and applications along with a detailed explanat
Author | : W.B. Langdon |
Publisher | : Springer Science & Business Media |
Total Pages | : 298 |
Release | : 1998-04-30 |
Genre | : Computers |
ISBN | : 9780792381358 |
Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.
Author | : Khurana Rohit |
Publisher | : Vikas Publishing House |
Total Pages | : 589 |
Release | : |
Genre | : Computers |
ISBN | : 9325975653 |
Data Structures using C provides its readers a thorough understanding of data structures in a simple, interesting, and illustrative manner. Appropriate examples, diagrams, and tables make the book extremely student-friendly. It meets the requirements of students in various courses, at both undergraduate and postgraduate levels, including BTech, BE, BCA, BSc, PGDCA, MSc, and MCA. Key Features • Presentation for easy grasp through chapter objectives, suitable tables and diagrams and programming examples. • Examination-oriented approach through objective and descriptive questions at the end of each chapter • Large number of questions and exercises for practice
Author | : William McAllister |
Publisher | : Jones & Bartlett Learning |
Total Pages | : 598 |
Release | : 2009 |
Genre | : Computers |
ISBN | : 076375756X |
Data Structures & Theory of Computation
Author | : Michael T. Goodrich |
Publisher | : John Wiley & Sons |
Total Pages | : 739 |
Release | : 2011-02-22 |
Genre | : Computers |
ISBN | : 0470383275 |
An updated, innovative approach to data structures and algorithms Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++. The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. Offers a unique multimedia format for learning the fundamentals of data structures and algorithms Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design Provides clear approaches for developing programs Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.
Author | : CARLOS OLIVEIRA |
Publisher | : Apress |
Total Pages | : 273 |
Release | : 2016-09-30 |
Genre | : Computers |
ISBN | : 1484218140 |
Learn how C++ is used in the development of solutions for options and derivatives trading in the financial industry. As an important part of the financial industry, options and derivatives trading has become increasingly sophisticated. Advanced trading techniques using financial derivatives have been used at banks, hedge funds, and pension funds. Because of stringent performance characteristics, most of these trading systems are developed using C++ as the main implementation language. Options and Derivatives Programming in C++ covers features that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and support for numerical libraries. New features introduced in the C++11 and C++14 standard are also covered: lambda functions, automatic type detection, custom literals, and improved initialization strategies for C++ objects. Readers will enjoy the how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. It includes advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduced in a logical and structured way and even novice programmers will be able to absorb the most important topics and competencies. What You Will Learn Grasp the fundamental problems in options and derivatives trading Converse intelligently about credit default swaps, Forex derivatives, and more Implement valuation models and trading strategies Build pricing algorithms around the Black-Sholes Model, and also using the Binomial and Differential Equations methods Run quantitative finance algorithms using linear algebra techniques Recognize and apply the most common design patterns used in options trading Save time by using the latest C++ features such as the STL and the Boost libraries Who This Book Is For Professional developers who have some experience with the C++ language and would like to leverage that knowledge into financial software development. This book is written with the goal of reaching readers who need a concise, algorithms-based book, providing basic information through well-targeted examples and ready to use solutions. Readers will be able to directly apply the concepts and sample code to some of the most common problems faced in the analysis of options and derivative contracts.
Author | : Michael T. Goodrich |
Publisher | : John Wiley & Sons |
Total Pages | : 736 |
Release | : 2014-01-28 |
Genre | : Computers |
ISBN | : 1118771338 |
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.
Author | : Zbigniew Michalewicz |
Publisher | : Springer Science & Business Media |
Total Pages | : 392 |
Release | : 2013-03-09 |
Genre | : Computers |
ISBN | : 3662033151 |
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.