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Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis, Knebl Helmut


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Автор: Knebl Helmut
Название:  Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis
ISBN: 9783030597573
Издательство: Springer
Классификация:

ISBN-10: 3030597571
Обложка/Формат: Hardcover
Страницы: 349
Вес: 0.68 кг.
Дата издания: 21.12.2020
Язык: English
Размер: 23.39 x 15.60 x 2.06 cm
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm.


A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

Автор: Wengrow Jay
Название: A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
ISBN: 1680502441 ISBN-13(EAN): 9781680502442
Издательство: Wiley
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Цена: 5859.00 р.
Наличие на складе: Поставка под заказ.

Описание: If you last saw algorithms in a university course or at a job interview, you`re missing out on what they can do for your code. Learn different sorting and searching techniques, and when to use each.

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: 8458.00 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.

Theoretical Foundations of Functional Data Analysis, with an

Автор: Hsing Tailen
Название: Theoretical Foundations of Functional Data Analysis, with an
ISBN: 0470016914 ISBN-13(EAN): 9780470016916
Издательство: Wiley
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Цена: 10446.00 р.
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Описание: ?? Provides a concise but rigorous account of the theoretical background of FDA. ?? Introduces topics in various areas of mathematics, probability and statistics from the perspective of FDA. ?? Presents a systematic exposition of the fundamental statistical issues in FDA.

Data structures based on non-linear relations and data processing methods

Автор: Kai Fan, Xiang Ji, Xingni Zhou, Yanzhuo Ma, Zhiyuan Ren
Название: Data structures based on non-linear relations and data processing methods
ISBN: 3110676168 ISBN-13(EAN): 9783110676167
Издательство: Walter de Gruyter
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Цена: 120871.00 р.
Наличие на складе: Нет в наличии.

Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.

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: 12707.00 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.

Algorithms: Design Techniques And Analysis (Revised Edition)

Автор: Alsuwaiyel M H
Название: Algorithms: Design Techniques And Analysis (Revised Edition)
ISBN: 9814723649 ISBN-13(EAN): 9789814723640
Издательство: World Scientific Publishing
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Цена: 28512.00 р.
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Описание: Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.Algorithms: Design Techniques and Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples — emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms.Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering.

An Elementary Approach to Design and Analysis of Algorithms

Автор: Lekh Raj Vermani, Shalini Vermani
Название: An Elementary Approach to Design and Analysis of Algorithms
ISBN: 1786346753 ISBN-13(EAN): 9781786346759
Издательство: World Scientific Publishing
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Цена: 17424.00 р.
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Описание: 'The book under review is an interesting elaboration that fills the gaps in libraries for concisely written and student-friendly books about essentials in computer science ... I recommend this book for anyone who would like to study algorithms, learn a lot about computer science or simply would like to deepen their knowledge ... The book is written in very simple English and can be understood even by those with limited knowledge of the English language. It should be emphasized that, despite the fact that the book consists of many examples, mathematical formulas and theorems, it is very hard to find any mistakes, errors or typos.'zbMATHIn computer science, an algorithm is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculation, data processing and automated reasoning tasks.As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing 'output' and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.This book introduces a set of concepts in solving problems computationally such as Growth of Functions; Backtracking; Divide and Conquer; Greedy Algorithms; Dynamic Programming; Elementary Graph Algorithms; Minimal Spanning Tree; Single-Source Shortest Paths; All Pairs Shortest Paths; Flow Networks; Polynomial Multiplication, to ways of solving NP-Complete Problems, supported with comprehensive, and detailed problems and solutions, making it an ideal resource to those studying computer science, computer engineering and information technology.

Design and Analysis of Algorithms: A Contemporary Perspective

Автор: Sandeep Sen, Amit Kumar
Название: Design and Analysis of Algorithms: A Contemporary Perspective
ISBN: 1108496822 ISBN-13(EAN): 9781108496827
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: A valuable text in the field of computer science and engineering, covering fundamental concepts and recent advancements. To help the reader to design/redesign algorithms for their requirements rather than be overawed by the challenges of a new framework.

Algorithms: Design and Analysis

Автор: Mangey Ram, Preeti Malik, Sushil C. Dimri
Название: Algorithms: Design and Analysis
ISBN: 3110693755 ISBN-13(EAN): 9783110693751
Издательство: Walter de Gruyter
Рейтинг:
Цена: 96697.00 р.
Наличие на складе: Нет в наличии.

Описание:

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, Brach 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.

Algorithms: Design and Analysis

Автор: Mangey Ram, Preeti Malik, Sushil C. Dimri
Название: Algorithms: Design and Analysis
ISBN: 3110693410 ISBN-13(EAN): 9783110693416
Издательство: Walter de Gruyter
Рейтинг:
Цена: 9660.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

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, Brach 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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