Data Abstraction and Problem Solving with C

Author: Frank M. Carrano
Publisher: Pearson
ISBN: 9780134463971
Format: PDF, ePub, Mobi
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For courses in C++ Data Structures Concepts of Data Abstraction and Manipulation for C++ Programmers The Seventh Edition of Data Abstraction & Problem Solving with C++: Walls and Mirrors introduces fundamental computer science concepts related to the study of data structures. The text Explores problem solving and the efficient access and manipulation of data and is intended for readers who already have a basic understanding of C++. The "walls and mirrors" mentioned in the title represent problem-solving techniques that appear throughout the text. Data abstraction hides the details of a module from the rest of the program, whereas recursion is a repetitive technique that solves a problem by solving smaller versions of the same problems, much as images in facing mirrors grow smaller with each reflection. Along with general changes to improve clarity and correctness, this Seventh Edition includes new notes, programming tips, and sample problems.

Data Abstraction Problem Solving with C

Author: Frank M. Carrano
Publisher: Pearson
ISBN: 013447743X
Format: PDF, Docs
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in C++ Data Structures Concepts of Data Abstraction and Manipulation for C++ Programmers The Seventh Edition of Data Abstraction & Problem Solving with C++: Walls and Mirrors introduces fundamental computer science concepts related to the study of data structures. The text Explores problem solving and the efficient access and manipulation of data and is intended for readers who already have a basic understanding of C++. The “walls and mirrors” mentioned in the title represent problem-solving techniques that appear throughout the text. Data abstraction hides the details of a module from the rest of the program, whereas recursion is a repetitive technique that solves a problem by solving smaller versions of the same problems, much as images in facing mirrors grow smaller with each reflection. Along with general changes to improve clarity and correctness, this Seventh Edition includes new notes, programming tips, and sample problems.

Data Abstraction Problem Solving with C

Author: Frank M. Carrano
Publisher: Prentice Hall
ISBN: 9780132923729
Format: PDF, Kindle
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Data Abstraction and Problem Solving with C++: Walls and Mirrors, 6/e, provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-oriented approach. KEY TOPICS: New co-author, Associate Professor Timothy Henry of the University of Rhode Island. Greater emphasis on data abstraction as a problem solving tool; increased emphasis on C++ as an implementation tool; reduce the interdependency of chapters to allow more flexibility for instructors; demonstrates safe and secure programming practices; new VideoNotes tutorials; a transition guide from Python to C++. MARKET: Appropriate for professionals interested in C++ data structures.

Walls and Mirrors

Author: Paul Helman
Publisher: Benjamin-Cummings Publishing Company
ISBN:
Format: PDF, Kindle
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Software -- Programming Techniques.

Probability Markov Chains Queues and Simulation

Author: William J. Stewart
Publisher: Princeton University Press
ISBN: 1400832810
Format: PDF
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Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics. The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only). Numerous examples illuminate the mathematical theories Carefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approach Each chapter concludes with an extensive set of exercises

Discrete Structures Logic and Computability

Author: James L. Hein
Publisher: Jones & Bartlett Publishers
ISBN: 1284070409
Format: PDF, ePub, Mobi
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Following the recent updates to the 2013 ACM/IEEE Computer Science curricula, Discrete Structures, Logic, and Computability, Fourth Edition, has been designed for the discrete math course that covers one to two semesters. Dr. Hein presents material in a spiral medthod of learning, introducing basic information about a topic, allowing the students to work on the problem and revisit the topic, as new information and skills are established. Written for prospective computer scientist, computer engineers, or applied mathematicians, who want to learn about the ideas that inspire computer science, this edition contains an extensive coverage of logic, setting it apart from similar books available in the field of Computer Science.

Data Abstraction and Problem Solving with Java Walls and Mirrors

Author: Janet Prichard
Publisher: Pearson Higher Ed
ISBN: 129201413X
Format: PDF, Docs
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The Third Edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and Mirrors (recursion) to teach Java programming design solutions, in a way that beginning students find accessible. The book has a student-friendly pedagogical approach that carefully accounts for the strengths and weaknesses of the Java language. With this book, students will gain a solid foundation in data abstraction, object-oriented programming, and other problem-solving techniques.

Data Structures Practice Problems for C Beginners

Author: Kung-Hua Chang
Publisher: Simple & Example
ISBN: 9780998544014
Format: PDF
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This book is for C++ beginners looking for practice problems to ease the learning curve of the principles of object-oriented programming, fundamental data structures, and generic programming. This book provides 150+ practice problems about the principles of Object-Oriented Programming, Linked Lists, Stacks, Queues, Recursion, Trees, Graphs, Hash Tables, Algorithmic Efficiency, Sorting Algorithms, Heaps, and Generic Programming with C++ STL and Templates.