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"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:
Introduction
Recursion and Backtracking
Linked Lists
Stacks
Queues
Trees
Priority Queue and Heaps
Disjoint Sets ADT
Graph Algorithms
Sorting
Searching
Selection Algorithms Medians]
Symbol Tables
Hashing
String Algorithms
Algorithms Design Techniques
Greedy Algorithms
Divide and Conquer Algorithms
Dynamic Programming
Complexity Classes
Miscellaneous Concepts
Автор: Richard S. Bird, Jeremy Gibbons Название: Algorithm Design with Haskell ISBN: 1108491618 ISBN-13(EAN): 9781108491617 Издательство: Cambridge Academ Рейтинг: Цена: 8712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Roughgarden Название: Twenty Lectures on Algorithmic Game Theory ISBN: 131662479X ISBN-13(EAN): 9781316624791 Издательство: Cambridge Academ Рейтинг: Цена: 5702.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Dobrushkin, Vladimir A. Название: Methods in algorithmic analysis ISBN: 1138118044 ISBN-13(EAN): 9781138118041 Издательство: Taylor&Francis Рейтинг: Цена: 12095.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Moitra Ankur Название: Algorithmic Aspects of Machine Learning ISBN: 1316636003 ISBN-13(EAN): 9781316636008 Издательство: Cambridge Academ Рейтинг: Цена: 5386.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Moitra, Ankur (massachusetts Institute Of Technology) Название: Algorithmic aspects of machine learning ISBN: 1107184584 ISBN-13(EAN): 9781107184589 Издательство: Cambridge Academ Рейтинг: Цена: 10613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Hiroshi Nagamochi, Toshihide Ibaraki Название: Algorithmic Aspects of Graph Connectivity ISBN: 1108735495 ISBN-13(EAN): 9781108735490 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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.
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.
Автор: Bernhard Rieder Название: Engines of Order: A Mechanology of Algorithmic Techniques ISBN: 9462986193 ISBN-13(EAN): 9789462986190 Издательство: NBN International Рейтинг: Цена: 28090.00 р. Наличие на складе: Нет в наличии.
Описание: The book attempts to extend the media archeological approach (strongly infused with the work of Gilbert Simondon) to the world of algorithms, understood not only as a broad category of things, but as a rich field of concrete approaches, ideas, and traditions. The actual content of fields like information and computer science is almost completely unknown to a wider scholarly audience and there is urgent need to engage these knowledge domains more thoroughly. The book therefore strives to situate the contemporary debates around advanced algorithms in a broader history that will, hopefully, help us in formulating critiques of the role these algorithms play in our societies that are more technically informed and able to connect issues more easily to questions and problems that have appeared in similar form elsewhere. The book is not simply a history or social critique of algorithmic techniques constitutive of the modern world, but an attempt to clarify the rationale behind these techniques, of the archive of ideas that informs them. I hope that this book will help bridging the gaping gulf between our (lacking) societal understanding of advanced algorithms and what they actually do and how they do it. This pedagogical goal is exemplified by a set of demonstrators, online playgrounds that accompany each case study, designed to show how a specific technique works. An early example for Bayesian mail filtering can be found here: http: //labs.polsys.net/demonstrators/bayesian/
Автор: Edited by Lowell W. Beineke , Martin Charles Golum Название: Topics in Algorithmic Graph Theory ISBN: 1108492606 ISBN-13(EAN): 9781108492607 Издательство: Cambridge Academ Рейтинг: Цена: 14254.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the growth of computer science and the accompanying utilization of computers, where efficient algorithms have been a prime goal. This book presents material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level suitable for graduate students, researchers and instructors. The fifteen expository chapters, written by acknowledged international experts on their subjects, focus on the application of algorithms to solve particular problems. All chapters were carefully edited to enhance readability and standardize the chapter structure as well as the terminology and notation. The editors provide basic background material in graph theory, and a chapter written by the book's Academic Consultant, Martin Charles Golumbic (University of Haifa, Israel), provides background material on algorithms as connected with graph theory.
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