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Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
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Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
placeholder
Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
placeholder
Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
placeholder
Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
placeholder
Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
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Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.

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Product Overview

Highlights

  • Provides a systematic and mathematical approach to algorithm analysis. Covers recurrence relations, asymptotic behavior, and combinatorial methods in depth.
  • Includes numerous examples and exercises that strengthen understanding. Balances theoretical analysis and algorithmic design effectively.
  • Ideal for undergraduate and graduate computer science courses.

Specifications

Book DescriptionAn Introduction to the Analysis of Algorithms (2nd Edition) by Michael Soltys is a clear and practical textbook that provides a solid foundation for understanding the mathematical and logical principles behind algorithm efficiency and complexity. The book introduces students to formal methods of analyzing algorithms, covering key topics such as recurrence relations, asymptotic notation, combinatorial reasoning, and graph algorithms. It emphasizes clarity, mathematical precision, and a balance between theory and implementation. This edition also includes expanded examples, proofs, and exercises to enhance problem-solving and critical thinking skills for computer science students.
LanguageEnglish
Book Format- Hardcover
Number of Pages211
Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
Introduction to Algorithmic Analysis (2nd Edition) by Michael Soltis of McMaster University in Canada is an important reference in the field of analyzing the performance and efficiency of algorithms.
Sorry! This product is not available.
Available Soon

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