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This 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
"Focusing on data abstraction and data structures, the second edition of this very successful book continues to emphasize the needs of both the instructor and the student. The book illustrates the role of classes and abstract data types (ADTs) in the problem-solving process as the foundation for an object-oriented approach. Throughout the next, the distinction between specification and implementation is continually stressed. The text covers major applications of ADTs, such as searching a flight map and performing an event-driven simulation. It also offers early, extensive coverage of recursion and uses this technique in many examples and exercises. Overall, the lucid writing style, widespread use of examples, and flexible coverage of material have helped make this a leading book in the field." --Book Jacket.
Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.
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. Course Hierarchy: Course is the second course in the CS curriculum Required of CS majors Course names include Data Structures and Data Structures & Algorithms
Programming & Problem Solving with C++ provides the most accessible introduction to C++ & object-oriented programming for beginning students. With its straightforward & disciplined programming style, this text is free of intricate language features, promotes good programming habits, & provides clear examples, complete case studies, & numerous end-of-chapter exercises. The first half of the text gives students a solid foundation in algorithm development & functional decomposition design methodology. The second half builds on the foundation, exploring ADTs, the C++ classes, encapsulation, information hiding, & object-oriented software development.
"Welcome to the third edition of my C++ text. The highly successful first edition was one of the first textbooks available for teaching C++ in the first programming course. The text was introduced at the 1994 ACM Conference in Phoenix when many were arguing the virtues of teaching C++ and OOP versus Pascal and structured programming in the first programming course. I argued at the time, and still argue, that students need to be taught problem solving early-on using both the structured and object-oriented paradigms and, because of its hybrid nature, C++ is the only language suited to learning both of these paradigms. Since then, many institutions have made the switch from Pascal to C++ for just this reason, as well as the intense industry support for C++ language. As a result, this third edition continues to provide an introduction to both structured and object-oriented problem solving techniques using the C++ language. Of course, many improvements have been made based on using the text in numerous classrooms all over the world since 1994. As with earlier editions, the text starts from the beginning, assuming no previous knowledge of C, or any other programming language. This text is appropriate for any introductory programming (CS1 course using the C++ language as well as experienced programmers wanting an introduction to structured and object-oriented problem solving techniques using the C++ language"-- Book Preface.
Providing a complete explanation of problem solving and algorithms using C++, the author's theoretical perspective emphasizes software engineering and object-oriented programming, and encourages readers to think abstractly. Numerous code examples and case studies are used to support the algorithms presented.
The new edition of this introductory programming text continues to emphasize problem-solving techniques using the C++ language. Coverage develops strong problem-solving skills using problem abstraction and stepwise refinement through the Programmer's Algorithm. The author first emphasizes the structured (procedural) paradigm, then gradually advances to the object-oriented paradigm. Traditional data types are presented as classes early, with constants and variables treated as objects of those classes. The author's approach prepares students for in-depth coverage of classes and objects presented later in the text, while building essential structured programming concepts. This edition now integrates problem-solving through 19 Problem-Solving in Action case studies, and offers early treatment of reading/writing C++ files for program I/O.
Professor Moffat has been a member of the academic staff at the University of Melbourne since 1987. This book has evolved out of his 20 years' teaching experience with first year students. The readable style is punctuated by more than 100 working programs and each chapter includes detailed case study, key points and exercises.