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Constraint Handling in Cohort Intelligence Algorithm, Kale Ishaan R., Kulkarni Anand J.


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Цена: 24499.00р.
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Автор: Kale Ishaan R., Kulkarni Anand J.
Название:  Constraint Handling in Cohort Intelligence Algorithm
ISBN: 9781032150758
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1032150750
Обложка/Формат: Hardcover
Страницы: 200
Вес: 0.47 кг.
Дата издания: 27.12.2021
Серия: Advances in metaheuristics
Язык: English
Иллюстрации: 64 tables, black and white; 75 line drawings, black and white; 75 illustrations, black and white
Размер: 23.39 x 15.60 x 1.27 cm
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This is a valuable reference to practitioners, students and researchers in the area of optimization methods. CI is investigated by solving discrete variable truss structural problems, mixed variable design engineering problems, linear and nonlinear constrained test problems and real-world applications from the manufacturing domain.


Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

Автор: Karumanchi Narasimha
Название: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
ISBN: 819324527X ISBN-13(EAN): 9788193245279
Издательство: Неизвестно
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Цена: 8734.00 р.
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Описание:

Peeling Data Structures and Algorithms:

Table of Contents: goo.gl/JFMgiU
Sample Chapter: goo.gl/n2Hk4i
Found Issue? goo.gl/forms/4Gt72YO81I
Videos: goo.gl/BcHq74

"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.

A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.

Topics Covered:

  1. Introduction
  2. Recursion and Backtracking
  3. Linked Lists
  4. Stacks
  5. Queues
  6. Trees
  7. Priority Queue and Heaps
  8. Disjoint Sets ADT
  9. Graph Algorithms
  10. Sorting
  11. Searching
  12. Selection Algorithms Medians]
  13. Symbol Tables
  14. Hashing
  15. String Algorithms
  16. Algorithms Design Techniques
  17. Greedy Algorithms
  18. Divide and Conquer Algorithms
  19. Dynamic Programming
  20. Complexity Classes
  21. Miscellaneous Concepts
Algorithm Design with Haskell

Автор: Richard S. Bird, Jeremy Gibbons
Название: Algorithm Design with Haskell
ISBN: 1108491618 ISBN-13(EAN): 9781108491617
Издательство: Cambridge Academ
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Цена: 8712.00 р.
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Описание: This book presents the five main principles of algorithm design: divide and conquer, greedy algorithms, thinning, dynamic programming, and exhaustive search. It serves students, teachers, researchers, and professionals who want to know more about what goes into a good algorithm and how such algorithms can be expressed in purely functional terms.

Algorithmic Aspects of Machine Learning

Автор: Moitra Ankur
Название: Algorithmic Aspects of Machine Learning
ISBN: 1316636003 ISBN-13(EAN): 9781316636008
Издательство: Cambridge Academ
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Цена: 5386.00 р.
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Описание: Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cutting-edge algorithmic toolkit.

Hands-On Data Structures and Algorithms with Python 2 ed

Автор: Agarwal, Dr Basant, Baka, Benjamin
Название: Hands-On Data Structures and Algorithms with Python 2 ed
ISBN: 1788995570 ISBN-13(EAN): 9781788995573
Издательство: Неизвестно
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Цена: 8091.00 р.
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Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.

Emerging Research On Swarm Intelligence And Algorithm Optimization

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Algorithmic Aspects of Graph Connectivity

Автор: Hiroshi Nagamochi, Toshihide Ibaraki
Название: Algorithmic Aspects of Graph Connectivity
ISBN: 1108735495 ISBN-13(EAN): 9781108735490
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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Описание: With applications in communication, transportation, and production, graph connectivity has thrived using the theory of complexity and algorithms in modern computer science. This is the first thorough book on this central notion in graph and network theory, and covers new concepts and algorithms for quicker and more efficient computing.

Methods in algorithmic analysis

Автор: Dobrushkin, Vladimir A.
Название: Methods in algorithmic analysis
ISBN: 1138118044 ISBN-13(EAN): 9781138118041
Издательство: Taylor&Francis
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Цена: 12095.00 р.
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Описание:

Explores the Impact of the Analysis of Algorithms on Many Areas within and beyond Computer Science
A flexible, interactive teaching format enhanced by a large selection of examples and exercises

Developed from the author's own graduate-level course, Methods in Algorithmic Analysis presents numerous theories, techniques, and methods used for analyzing algorithms. It exposes students to mathematical techniques and methods that are practical and relevant to theoretical aspects of computer science.

After introducing basic mathematical and combinatorial methods, the text focuses on various aspects of probability, including finite sets, random variables, distributions, Bayes' theorem, and Chebyshev inequality. It explores the role of recurrences in computer science, numerical analysis, engineering, and discrete mathematics applications. The author then describes the powerful tool of generating functions, which is demonstrated in enumeration problems, such as probabilistic algorithms, compositions and partitions of integers, and shuffling. He also discusses the symbolic method, the principle of inclusion and exclusion, and its applications. The book goes on to show how strings can be manipulated and counted, how the finite state machine and Markov chains can help solve probabilistic and combinatorial problems, how to derive asymptotic results, and how convergence and singularities play leading roles in deducing asymptotic information from generating functions. The final chapter presents the definitions and properties of the mathematical infrastructure needed to accommodate generating functions.

Accompanied by more than 1,000 examples and exercises, this comprehensive, classroom-tested text develops students' understanding of the mathematical methodology behind the analysis of algorithms. It emphasizes the important relation between continuous (classical) mathematics and discrete mathematics, which is the basis of computer science.

Algorithmic Governance and Governance of Algorithms: Legal and Ethical Challenges

Автор: Ebers Martin, Cantero Gamito Marta
Название: Algorithmic Governance and Governance of Algorithms: Legal and Ethical Challenges
ISBN: 3030505618 ISBN-13(EAN): 9783030505615
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole ("algorithmic governance"), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more.

Algorithmic aspects of machine learning

Автор: Moitra, Ankur (massachusetts Institute Of Technology)
Название: Algorithmic aspects of machine learning
ISBN: 1107184584 ISBN-13(EAN): 9781107184589
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cutting-edge algorithmic toolkit.

Twenty Lectures on Algorithmic Game Theory

Автор: Roughgarden
Название: Twenty Lectures on Algorithmic Game Theory
ISBN: 131662479X ISBN-13(EAN): 9781316624791
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management.

Algorithmic Game Theory

Автор: Edited by Noam Nisan
Название: Algorithmic Game Theory
ISBN: 0521872820 ISBN-13(EAN): 9780521872829
Издательство: Cambridge Academ
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Цена: 9821.00 р.
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Описание: More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.

Algorithm Design Basics: A Self-Teaching Introduction

Автор: Rajiv Chopra, S. Raheja
Название: Algorithm Design Basics: A Self-Teaching Introduction
ISBN: 1683924487 ISBN-13(EAN): 9781683924487
Издательство: Mare Nostrum (Eurospan)
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Цена: 7623.00 р.
Наличие на складе: Поставка под заказ.

Описание: Provides a self-teaching introduction to the basic concepts of algorithm design and analysis. The book covers basic topics such as strings, trees, patterns, and graphs, but also includes advanced algorithms and provides lab exercises and numerous end-of-chapter exercises with answers, to test comprehension of the material.


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