Title
Algorithm Design: Foundations, Analysis, and Internet Examples,Used
Delivery time: 8-12 business days (International)
Are you looking for something different in your Algorithms text? Are you looking for an Algorithms text that offers theoretical analysis techniques as well as design patterns and experimental methods for the engineering of algorithms? Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Design, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective.Written for an undergraduate, juniorsenior algorithms course this text offers several implementation case studies and uses Internet applications to motivate many topics such as hashing, sorting and searching.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'Algorithm Design: Foundations, Analysis, and Internet Examples'? A: This textbook covers a wide range of topics in algorithms, including theoretical analysis techniques, design patterns, and experimental methods. Key areas include hashing, sorting, searching, and case studies related to Internet applications.
- Q: Who are the authors of this book? A: The book is authored by Michael T. Goodrich and Roberto Tamassia, both of whom have extensive experience in teaching and writing about algorithms and data structures.
- Q: What is the intended audience for this textbook? A: This textbook is designed for undergraduate students, particularly those in junior or senior-level algorithms courses.
- Q: How many pages does the book contain? A: The textbook consists of 720 pages, providing comprehensive coverage of its subject matter.
- Q: What is the binding type of this book? A: The book is available in paperback format.
- Q: When was 'Algorithm Design' published? A: The book was published on October 15, 2001.
- Q: Is this textbook suitable for self-study? A: Yes, the textbook is suitable for self-study, as it includes clear explanations, case studies, and numerous examples that can help learners grasp complex concepts independently.
- Q: Does this book include practical examples or case studies? A: Yes, the textbook features several implementation case studies and practical examples, which are used to illustrate the application of algorithms in real-world scenarios.
- Q: What makes this textbook different from other algorithms books? A: This textbook offers a modern perspective on algorithm design by integrating theoretical analysis with practical design patterns and experimental methods, making it distinct from other traditional texts.
- Q: Can this book help in preparing for technical interviews related to algorithms? A: Yes, the book's focus on algorithm design principles and practical examples can provide a solid foundation for understanding algorithms, which is beneficial for technical interview preparation.