Algorithms Quiz Book PDF Download

Author: S.R. Subramanya
Publisher: Wemocon
ISBN:
Category : Computers
Languages : en
Pages : 223

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Book Description
This is a quick assessment book / quiz book. It has a vast collection of over 1,000 questions, with answers on Algorithms. The book covers questions on standard (classical) algorithm design techniques; sorting and searching; graph traversals; minimum spanning trees; shortest path problems; maximum flow problems; elementary concepts in P and NP Classes. It also covers a few specialized areas – string processing; polynomial operations; numerical & matrix computations; computational geometry & computer graphics.

Author: Amrinder Arora
Publisher:
ISBN: 9781718157422
Category :
Languages : en
Pages : 159

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Book Description
"101 Algorithms Questions You Must Know" presents 101 asymptotic complexity Questions and Answers, organized by Algorithm Design Techniques. Serving as a useful accompaniment to "Analysis and Design of Algorithms" (ISBN 978-1516513086), the questions are distributed as follows: 9 Warm up Questions on Math Basics, 19 Questions on Asymptotic Analysis and Asymptotic Notation, 3 Questions on Data Structures, 17 Questions on Divide and Conquer, 8 Questions on Greedy Algorithms, 18 Questions on Dynamic Programming, 5 Questions on Graph Traversal (BFS/DFS), 4 Questions on Branch and Bound, 9 Questions on NP-Completeness 3 Questions on Lower Bounds, and 6 Questions on Graph Theory.Covering many questions used by major technology companies as their interview questions, this book serves both software professionals as well as graduate students in the field.

Author: S. R. Subramanya
Publisher:
ISBN:
Category :
Languages : en
Pages : 202

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Book Description
This is a quick assessment book / quiz book. It has a vast collection of nearly 800 questions on Data Structures. The coverage includes elementary and advanced data structures - Arrays (single/multidimensional); Linked lists (singly-linked, doubly-linked, circular); Stacks; Queues; Heaps; Hash tables; Binary trees; Binary search trees; Balanced trees (AVL trees, Red-Black trees, B-trees/B+ trees); Graphs. Unique features of this book.*Nearly 800 short questions, with answers.*Questions are of only two types - True/False and sentence completion.*All questions are single sentence and have consistent format.*Questions have a wide range of difficulty levels.*Questions are designed to test a thorough understanding of the topical material. *Questions cover the fundamental principles and properties of all commonly used data structures.*Questions cover popular ones asked in internship / job interviews. Who could benefit from this book?*Students who are currently taking a course on Data structures could use this book for self-assessment and to focus on topics one is unsure about. This helps in improving the performance in tests and exams.*Students who have already completed a course on Data structures, and are preparing to take written exams and/or interviews for industry/companies.*Faculty can use it as a resource to quickly select a few questions as part of a quiz being prepared.*Professionals trying to make a switch to Computing/IT industry could use it as a source of self-assessment.*Interviewers / Managers / Technical leads could use it to make a quick assessment of fundamental understanding of the candidates in phone / personal interviews.*Participants and quiz masters in quiz competitions.

Author: Narayan Changder
Publisher: CHANGDER OUTLINE
ISBN:
Category : Computers
Languages : en
Pages : 734

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Book Description
Master problem-solving techniques with precision using this comprehensive MCQ mastery guide on algorithms. Tailored for students, programmers, and algorithm enthusiasts, this resource offers a curated selection of practice questions covering key concepts, data structures, and algorithm design paradigms. Delve deep into sorting algorithms, graph algorithms, and dynamic programming while enhancing your problem-solving skills. Whether you're preparing for exams or seeking to reinforce your practical knowledge, this guide equips you with the tools needed to excel. Master algorithms and unlock the secrets of efficient problem-solving with confidence using this indispensable resource.

Author: Kenneth Lange
Publisher: SIAM
ISBN: 1611976170
Category : Mathematics
Languages : en
Pages : 227

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Book Description
Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics. This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks. Written in clear, instructive language within the constraints of mathematical rigor, Algorithms from THE BOOK includes a large number of classroom-tested exercises at the end of each chapter. The appendices cover background material often omitted from undergraduate courses. Most of the algorithm descriptions are accompanied by Julia code, an ideal language for scientific computing. This code is immediately available for experimentation. Algorithms from THE BOOK is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.

Author: Justine Larbalestier
Publisher: Wesleyan University Press
ISBN: 0819566764
Category : Fiction
Languages : en
Pages : 425

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Book Description
Women's contributions to science fiction have been lasting and important. This is a collection of 11 key stories, alongside 11 essays that explore the stories' contexts, meanings, and theoretical implications. Organized chronologically, it aims to create a different canon of feminist science fiction and examines the theory that addresses it.

Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262258102
Category : Computers
Languages : en
Pages : 1313

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Book Description
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

Author: Sanjoy Dasgupta
Publisher: McGraw-Hill Higher Education
ISBN: 0077388496
Category : Computer algorithms
Languages : en
Pages : 338

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Book Description
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include:The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated. Carefully chosen advanced topics that can be skipped in a standard one-semester course but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text DasGupta also offers a Solutions Manual which is available on the Online Learning Center."Algorithms is an outstanding undergraduate text equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel it is a joy to read." Tim Roughgarden Stanford University

Author: Sheree R. Thomas
Publisher: Grand Central Publishing
ISBN: 1455534153
Category : Fiction
Languages : en
Pages : 499

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Book Description
This volume introduces black science fiction, fantasy, and speculative fiction writers to the generations of readers who have not had the chance to explore the scope and diversity among African-American writers.

Author: Magnus Lie Hetland
Publisher: Apress
ISBN: 1430232382
Category : Computers
Languages : en
Pages : 325

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Book Description
Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself.