Paperback. Condition: New. Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis. Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms. Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap. Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.
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Language: English
Published by Walter de Gruyter, Incorporated, 2021
ISBN 10: 3110693410 ISBN 13: 9783110693416
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Published by Walter de Gruyter, Incorporated, 2021
ISBN 10: 3110693410 ISBN 13: 9783110693416
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Language: English
Published by Walter de Gruyter, Incorporated, 2021
ISBN 10: 3110693410 ISBN 13: 9783110693416
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Add to basketPaperback. Condition: New. Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis. Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms. Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap. Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.
Language: English
Published by Apple Academic Press, 2024
ISBN 10: 1774913488 ISBN 13: 9781774913482
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Fine.
Condition: New. Dr. Mangey Ram received the Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around ten years and has taught several core courses.
Language: English
Published by Apple Academic Press, 2023
ISBN 10: 1774912910 ISBN 13: 9781774912911
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Apple Academic Press, 2024
ISBN 10: 1774913488 ISBN 13: 9781774913482
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Published by Apple Academic Press, 2024
ISBN 10: 1774913488 ISBN 13: 9781774913482
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Published by Apple Academic Press, 2024
ISBN 10: 1774913488 ISBN 13: 9781774913482
Seller: Books Puddle, New York, NY, U.S.A.
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Published by John Wiley & Sons Inc, 2025
ISBN 10: 1394287461 ISBN 13: 9781394287468
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Hardcover. Condition: new. Hardcover. The book is a must-have resource for anyone looking to understand the complexities of generative AI, offering comprehensive insights into LLMs, effective training strategies, and practical applications. Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book: Explores the real-world potential of large language models;Introduces industry-changing AI solutions;Provides advanced insights on AI and its models. Audience Industry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Apple Academic Press, 2024
ISBN 10: 1774913488 ISBN 13: 9781774913482
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Published by Apple Academic Press, 2023
ISBN 10: 1774912910 ISBN 13: 9781774912911
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Published by Apple Academic Press, 2023
ISBN 10: 1774912910 ISBN 13: 9781774912911
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