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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: Ricard Gavalda; Gabor Lugosi; Thomas Zeugmann; San Название: Algorithmic Learning Theory ISBN: 3642044131 ISBN-13(EAN): 9783642044137 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.
Название: Algorithmic life ISBN: 113885283X ISBN-13(EAN): 9781138852839 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Amid the proliferating cross-disciplinary discussion of `big data` and algorithms, there is currently a lack of academic work on the changing landscape of calculative technologies and devices, this volume critically explores forms and techniques of calculation that emerge with digital computation and their implications.
Автор: Ghosh Sourav, Donadio Sebastien Название: Learn Algorithmic Trading ISBN: 178934834X ISBN-13(EAN): 9781789348347 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will provide knowledge and hands-on practical experience required to build a good understanding of how modern electronic trading markets and market participants operate. You will learn how to design, build and operate all the components required to build a practical and profitable algorithmic trading business using Python.
Название: Algorithmic Societies ISBN: 0367204312 ISBN-13(EAN): 9780367204310 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together three academic fields - Public Administration, Criminal Justice and Urban Governance - into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms.
Описание: In this pioneering book, David Beer redefines emergent algorithmic technologies as the new systems of knowing. He examines the acute tensions they create and how they are changing what is known and what is knowable.
Автор: Ulrich Faigle; W. Kern; G. Still Название: Algorithmic Principles of Mathematical Programming ISBN: 9048161177 ISBN-13(EAN): 9789048161171 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature. The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.
Автор: Moulay Barkatou; Thomas Cluzeau; Georg Regensburge Название: Algebraic and Algorithmic Aspects of Differential and Integral Operators ISBN: 3642544789 ISBN-13(EAN): 9783642544781 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constructions of Free Commutative Integro-Differential Algebras.- Basic Module Theory over Non-commutative Rings with Computational Aspects of Operator Algebras.- Operational Calculi for Nonlocal Cauchy Problems in Resonance Cases.- Intertwining Laplace Transformations of Linear Partial Differential Equations.- Composing and Factoring Generalized Green's Operators and Ordinary Boundary Problems.- Relativistic Coulomb Integrals and Zeilberger's Holonomic Systems Approach II.- Multivariate Dimension Polynomials of Inversive Difference Field Extensions.- Differential (Monoid) Algebra and More.- Exact Solution of Local and Nonlocal BVPs for the Laplace Equation in a Rectangle.
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.
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: Andrew Goldberg; Yunhong Zhou Название: Algorithmic Aspects in Information and Management ISBN: 3642021573 ISBN-13(EAN): 9783642021572 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the 5th International Conference on Algorithmic Aspects in Information Management, AAIM 2009, held in San Francisco, CA, USA, in June 2009. This book presents 25 papers together with the abstracts of two invited talks that were reviewed and selected for inclusion.
Описание: This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include:* Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.
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