Computational Complexity

Computational Complexity

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Brand: Pearson
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This Text Offers A Comprehensive And Accessible Treatment Of The Theory Of Algorithms And Complexity The Elegant Body Of Concepts And Methods Developed By Computer Scientists Over The Past 30 Years For Studying The Performance And Limitations Of Computer Algorithms. Among Topics Covered Are: Reductions And Npcompleteness, Cryptography And Protocols, Randomized Algorithms, And Approximability Of Optimization Problems, Circuit Complexity, The Structural Aspects Of The P=Np Question, Parallel Computation, The Polynomial Hierarchy, And Many Others. Several Sophisticated And Recent Results Are Presented In A Rather Simple Way, While Many More Are Developed In The Form Of Extensive Notes, Problems, And Hints. The Book Is Surprisingly Selfcontained, In That It Develops All Necessary Mathematical Prerequisites From Such Diverse Fields As Computability, Logic, Number Theory, Combinatorics And Probability.

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  • Q: How many pages are in the book Computational Complexity? A: The book Computational Complexity has five hundred twenty-three pages. This extensive content covers various topics in algorithms and complexity.
  • Q: What is the binding type of Computational Complexity? A: Computational Complexity is available in paperback binding. This makes it a flexible and portable option for readers.
  • Q: What are the dimensions of the Computational Complexity book? A: The dimensions of the book are one point one inches in thickness, six point one inches in width, and eight point nine inches in height. These measurements make it easy to handle and store.
  • Q: Who is the author of Computational Complexity? A: The author of Computational Complexity is Christos Papadimitriou. He is a well-respected figure in the field of computer science.
  • Q: What category does the book Computational Complexity belong to? A: Computational Complexity belongs to the Computer Science category. It focuses on the theory of algorithms and complexity.
  • Q: Is Computational Complexity suitable for beginners? A: Yes, Computational Complexity is suitable for beginners. The book offers a comprehensive and accessible treatment of the theory of algorithms.
  • Q: How can I use the book Computational Complexity for study? A: You can use Computational Complexity for study by following its extensive notes and problems. It provides hints that assist in understanding complex concepts.
  • Q: What topics are covered in Computational Complexity? A: Computational Complexity covers topics such as NP-completeness, cryptography, randomized algorithms, and circuit complexity. It explores various aspects of algorithm performance.
  • Q: Does Computational Complexity include exercises or problems? A: Yes, Computational Complexity includes exercises and problems. These are designed to reinforce understanding of the material presented.
  • Q: How do I keep my copy of Computational Complexity in good condition? A: To keep your copy of Computational Complexity in good condition, store it in a cool, dry place and avoid exposure to direct sunlight. Handling it gently will also help maintain its quality.
  • Q: Is Computational Complexity appropriate for advanced readers? A: Yes, Computational Complexity is appropriate for advanced readers. It presents sophisticated results in a simple manner while covering complex topics.
  • Q: Can I find mathematical prerequisites in Computational Complexity? A: Yes, Computational Complexity develops all necessary mathematical prerequisites within its content. It includes concepts from computability, logic, and probability.
  • Q: What should I do if my copy of Computational Complexity arrives damaged? A: If your copy of Computational Complexity arrives damaged, you should contact the seller or publisher for a return and replacement. Most retailers have policies in place for such issues.
  • Q: Does Computational Complexity contain recent research findings? A: Yes, Computational Complexity contains several sophisticated and recent research findings. These are presented in a manner that is accessible to readers.
  • Q: Is there a specific audience the book Computational Complexity targets? A: Computational Complexity targets students and professionals in computer science. It is designed for anyone interested in the performance and limitations of algorithms.

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