Data Structures Algorithms And Software Principles In C
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Data Structures, Algorithms, and Software Principles in C by Thomas A. Standish Pdf
Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented programming using C++. By introducing recurring themes such as levels of abstraction, recursion, efficiency, representation and trade-offs, the author unifies the material throughout. Mathematical foundations can be incorporated at a variety of depths, allowing the appropriate amount of math for each user.
Using Java(TM) 1.1, Professor Thomas A. Standish teaches the fundamentals of data structures and algorithms. With this exciting new language, Standish takes a fresh look at the subject matter. New challenges arise any time a new language is used, and the author meets these challenges. For example, although Java is a language without explicit pointers, this book offers pointer diagrams to help students visualize, reason about, and understand this major Data Structures topic. Standish's clear presentation helps readers tie the many concepts of data structures together with recurring themes. Central ideas - such as modularity, levels of abstraction, efficiency, and tradeoffs - serve as integrators in the book in order to tie the material together conceptually and to reveal its underlying unity and interrelationships. Highlights Reviews the fundamentals of object-oriented programming and Java in Chapter 2 and Appendix A, allowing students with no prior knowledge of Java to get up and running quickly. Creates a Java applet with a simple GUI in Chapter 2. Covers recursion early and carefully in Chapter 4 to help students grasp this challenging concept. Includes an introduction to modularity and data abstraction concepts in Chapter 5, and coverage of key software engineering concepts and skills in Appendix C. Contains common pitfall sections at the end of each chapter to help students recognize and avoid potential dangers. ** Instructor's materials are available from your sales rep. If you do not know your local sales representative, please call 1-800-552-2499 for assistance, or use the Addison Wesley Longman rep-locator at http: //hepg.awl.com/rep-locator. 020130564XB04062001
Author : Vinu V. Das Publisher : New Age International Page : 18 pages File Size : 43,7 Mb Release : 2006 Category : C (Computer program language) ISBN : 9788122418583
Principles of Data Structures Using C and C++ by Vinu V. Das Pdf
About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.
An Introduction to Data Structures and Algorithms by J.A. Storer Pdf
Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel
Michael T. Goodrich,Roberto Tamassia,David M. Mount
Author : Michael T. Goodrich,Roberto Tamassia,David M. Mount Publisher : John Wiley & Sons Page : 739 pages File Size : 45,5 Mb Release : 2011-02-22 Category : Computers ISBN : 9780470383278
Data Structures and Algorithms in C++ by Michael T. Goodrich,Roberto Tamassia,David M. Mount Pdf
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.
Data Structures and Program Design in C by Robert Leroy Kruse,Clovis L. Tondo,Bruce P. Leung Pdf
Progressing from the concrete to the abstract, and using a number of case studies and sample programs, this text explores structured problem solving, data abstraction, software engineering principles, and the comparative analysis of algorithms as fundamental tools of program design. This edition aims to strengthen the documentation by including informal specification (pre- and post-conditions) with all subprograms. It treats recursion much earlier and emphasizes it repeatedly throughout, also revising all programs to emphasize data abstraction, to develop and employ reusable code, and to strengthen uniformity and elegance of style. New topics covered include splay trees, red-black trees, and amortized algorithm analysis. There are also new case studies, new exercises and programming projects, and Internet access to the source code for all the programs and program extracts printed in the text.
Author : Elliot B. Koffman,Paul A. T. Wolfgang Publisher : John Wiley & Sons Page : 832 pages File Size : 45,7 Mb Release : 2005-10-20 Category : Computers ISBN : 9780471467557
Objects, Abstraction, Data Structures and Design by Elliot B. Koffman,Paul A. T. Wolfgang Pdf
"It is a practical book with emphasis on real problems the programmers encounter daily." --Dr.Tim H. Lin, California State Polytechnic University, Pomona "My overall impressions of this book are excellent. This book emphasizes the three areas I want: advanced C++, data structures and the STL and is much stronger in these areas than other competing books." --Al Verbanec, Pennsylvania State University Think, Then Code When it comes to writing code, preparation is crucial to success. Before you can begin writing successful code, you need to first work through your options and analyze the expected performance of your design. That's why Elliot Koffman and Paul Wolfgang's Objects, Abstraction, Data Structures, and Design: Using C++ encourages you to Think, Then Code, to help you make good decisions in those critical first steps in the software design process. The text helps you thoroughly understand basic data structures and algorithms, as well as essential design skills and principles. Approximately 20 case studies show you how to apply those skills and principles to real-world problems. Along the way, you'll gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Key Features * Object-oriented approach. * Data structures are presented in the context of software design principles. * 20 case studies reinforce good programming practice. * Problem-solving methodology used throughout... "Think, then code!" * Emphasis on the C++ Standard Library. * Effective pedagogy.
Data Structures and Algorithms in C++ by Adam Drozdek Pdf
Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practical, DATA STRUCUTRES AND ALGORITHMS IN C++, 4E, International Edition by experienced author Adam Drozdek highlights the fundamental connection between data structures and their algorithms, giving equal weight to the practical implementation of data structures and the theoretical analysis of algorithms and their efficiency.This edition provides critical new coverage of treaps, k-d trees and k-d B-trees, generational garbage collection, and other advanced topics such as sorting methods and a new hashing technique. Abundant C++ code examples and a variety of case studies provide valuable insights into data structures implementation. DATA STRUCUTRES AND ALGORITHMS IN C++, 4E, International Edition provides the balance of theory and practice to prepare readers for a variety of applications in a modern, object-oriented paradigm.
C++ Data Structures and Algorithm Design Principles by John Carey,Shreyans Doshi,Payas Rajan Pdf
Get started with C++ programming by learning how to build applications using its data structures and algorithms Key FeaturesExplore data structures such as arrays, stacks, and graphs with real-world examplesStudy the trade-offs between algorithms and data structures and discover what works and what doesn'tDiscover how techniques such as bloom filters and multi-way heaps boost real-world applicationsBook Description C++ is a mature multi-paradigm programming language that enables you to write high-level code with a high degree of control over the hardware. Today, significant parts of software infrastructure, including databases, browsers, multimedia frameworks, and GUI toolkits, are written in C++. This book starts by introducing C++ data structures and how to store data using linked lists, arrays, stacks, and queues. In later chapters, the book explains the basic algorithm design paradigms, such as the greedy approach and the divide-and-conquer approach, which are used to solve a large variety of computational problems. Finally, you will learn the advanced technique of dynamic programming to develop optimized implementations of several algorithms discussed in the book. By the end of this book, you will have learned how to implement standard data structures and algorithms in efficient and scalable C++ 14 code. What you will learnBuild applications using hash tables, dictionaries, and setsExplore how modern hardware affects the actual run-time performance of programsApply common algorithms such as heapsort and merge sort for string data typesUse C++ template metaprogramming to write code librariesImplement a URL shortening service using a bloom filterUse appropriate modern C++ idioms such as std:: array instead of C-style arraysWho this book is for This book is for developers or students who want to revisit basic data structures and algorithm design techniques. Although no mathematical background is required, basic knowledge of complexity classes and Big O notation along with a qualification in an algorithms course will help you get the most out of this book. Familiarity with C++ 14 standard is assumed.
Data Structures and Program Design in C++ by Robert Leroy Kruse,Alexander J. Ryba Pdf
Object-oriented programming and powerful features of C++ enable this carefully crafted text to build data structures from basic ideas into complete, fully developed programs and interesting applications. In the process, the text explores problem solving and programming principles, data abstraction, recursion, and the comparative analysis of algorithms as fundamentals tools of software design. Data Structures and Program Design in C++ will prove useful to both computer science students and professionals. The authors supply all code in this book on the Web, and, as well, they provide an excellent instructor support package that includes an Instructor's Resource Manual with transparency masters, solutions, and source code to all of the programming examples and projects in the text.
A comprehensive guide to understanding the language of C offers solutions for everyday programming tasks and provides all the necessary information to understand and use common programming techniques. Original. (Intermediate).
Objects, Abstraction, Data Structures and Design: Using C++ by Elliot B. Koffman Pdf
Koffman and Wolfgang introduce data structures in the context of C++ programming. They embed the design and implementation of data structures into the practice of sound software design principles that are introduced early and reinforced by 20 case studies. Data structures are introduced in the C++ STL format whenever possible. Each new data structure is introduced by describing its interface in the STL. Next, one or two simpler applications are discussed then the data structure is implemented following the interface previously introduced. Finally, additional advanced applications are covered in the case studies, and the cases use the STL. In the implementation of each data structure, the authors encourage students to perform a thorough analysis of the design approach and expected performance before actually undertaking detailed design and implementation. Students gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Case studies follow a five-step process (problem specification, analysis, design, implementation, and testing) that has been adapted to object-oriented programming. Students are encouraged to think critically about the five-step process and use it in their problem solutions. Several problems have extensive discussions of testing and include methods that automate the testing process. Some cases are revisited in later chapters and new solutions are provided that use different data structures. The text assumes a first course in programming and is designed for Data Structures or the second course in programming, especially those courses that include coverage of OO design and algorithms. A C++ primer is provided for students who have taken a course in another programming language or for those who need a review in C++. Finally, more advanced coverage of C++ is found in an appendix.
