Computer Algorithms/C++

Computer Algorithms/C++

Publisher
Computer Science Press
Published
1996
Pages
769
ISBN-13
9780716783169
Format
other
Language
English
Book Summary
Computer Algorithms/C++ by Ellis Horowitz is a comprehensive textbook on algorithm design and analysis, using C++ for implementation. It covers fundamental data structures, sorting, searching, graph algorithms, dynamic programming, and more. Ideal for computer science students and professionals seeking a rigorous foundation in algorithmic thinking and practical coding.
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About Computer Algorithms/C++

Computer Algorithms/C++ by Ellis Horowitz is a classic textbook that provides an in-depth exploration of algorithm design, analysis, and implementation using the C++ programming language. The book covers a wide range of topics, including fundamental data structures, sorting and searching algorithms, graph algorithms, dynamic programming, greedy methods, backtracking, and NP-completeness. Each algorithm is presented with clear explanations, pseudocode, and C++ implementations, helping readers understand both the theoretical underpinnings and practical applications. The text emphasizes performance analysis, including time and space complexity, and includes numerous examples and exercises. This book is well-suited for undergraduate and graduate courses in computer science, as well as for professionals who want to strengthen their algorithmic problem-solving skills. While some concepts may require careful study, the thorough coverage and practical C++ code make it a valuable resource for mastering algorithms.

Who should read Computer Algorithms/C++?

This book is ideal for computer science students at the undergraduate or graduate level taking courses in algorithms or data structures. It is also valuable for software engineers and programmers who want to deepen their understanding of algorithm design and analysis, particularly those working with C++. Readers should have a basic knowledge of C++ and fundamental programming concepts. The book suits those who prefer a rigorous, implementation-oriented approach to learning algorithms and who seek a solid foundation for technical interviews or advanced study.

Pros & Cons
Pros
  • ✓ Comprehensive coverage of fundamental and advanced algorithms
  • ✓ Clear explanations with C++ implementations for practical learning
  • ✓ Strong emphasis on algorithm analysis and complexity
  • ✓ Numerous exercises and examples to reinforce concepts
  • ✓ Suitable for both classroom use and self-study
Cons
  • ✗ Some algorithms may be dated compared to modern C++ standards
  • ✗ Dense mathematical analysis may be challenging for beginners
  • ✗ Lacks coverage of some contemporary topics like machine learning algorithms
  • ✗ Code examples may require adaptation for modern compilers
  • ✗ Limited online resources or supplementary materials
Frequently asked questions
Is this book suitable for beginners?
It is best for readers with some prior programming experience, especially in C++. Beginners may find the pace challenging but can still benefit with additional study.
Does the book use modern C++?
The book uses C++ but may not reflect the latest standards. The focus is on algorithm concepts, so the code is generally adaptable.
Are there exercises with solutions?
The book includes numerous exercises, but solutions are not provided in the text. Instructors may have access to a solutions manual.
Is this book good for interview preparation?
Yes, it covers many classic algorithms and analysis techniques that are common in technical interviews, though it may not include interview-specific tips.
What is the difficulty level?
It is moderately to highly rigorous, suitable for upper-level undergraduate or graduate students. Some topics like NP-completeness require careful reading.

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