Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Algorithms Quiz Book PDF full book. Access full book title Algorithms Quiz Book by S.R. Subramanya. Download full books in PDF and EPUB format.
Author: S.R. Subramanya Publisher: Wemocon ISBN: Category : Computers Languages : en Pages : 223
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: S.R. Subramanya Publisher: Wemocon ISBN: Category : Computers Languages : en Pages : 223
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
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
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
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
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: Thomas H. Cormen Publisher: MIT Press ISBN: 0262258102 Category : Computers Languages : en Pages : 1313
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: Magnus Lie Hetland Publisher: Apress ISBN: 1430232382 Category : Computers Languages : en Pages : 325
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.
Author: Sanjoy Dasgupta Publisher: McGraw-Hill Higher Education ISBN: 0077388496 Category : Computer algorithms Languages : en Pages : 338
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: Rajeev Motwani Publisher: Cambridge University Press ISBN: 1139643134 Category : Computers Languages : en Pages : 496
Book Description
For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and probabilistic analysis that are recurrent in algorithmic applications. Algorithmic examples are given to illustrate the use of each tool in a concrete setting. In the second part of the book, each of the seven chapters focuses on one important area of application of randomized algorithms: data structures; geometric algorithms; graph algorithms; number theory; enumeration; parallel algorithms; and on-line algorithms. A comprehensive and representative selection of the algorithms in these areas is also given. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.
Author: Harry Chaudhary. Publisher: STCD COMPANY ISBN: 0359095798 Category : Computers Languages : en Pages : 500
Book Description
Array and Array Operations 6 Stack Operations 9 Queue Operations 16 Singly Linked List Operations 18 Singly Linked List 26 Doubly Linked List 35 Circular Linked List 42 Stack using Array 48 Stack using Linked List 52 Queue using Array 58 Queue using Linked List 64 Priority Queue 67 Double Ended Queue (Dequeue) 72 Stack using Queues 78 Decimal to Binary using Stacks 85 Towers of Hanoi 92 Bit Array 97 Dynamic Array 99 Parallel Array 101 Sparse Array 104 Matrix 112 Skip List 116 Xor Linked List 119 Xor Linked List-II 122 Binary Trees using Array 125 Binary Trees using Linked Lists 129 Preorder Traversal 132 Inorder Traversal 138 Binary Tree Properties 142 Binary Search Tree 145 AVL Tree 151 Cartesian Tree 155 Weight Balanced Tree 158 Red Black Tree 162 Splay Tree 166 Splay Tree 169 Heap 171 Binary Heap 173 Weak Heap 176 Binomial and Fibonacci Heap 178 Hash Tables 182 Direct Addressing Tables 185 Graph 187 Adjacency Matrix 191 Incidence Matrix and Graph Structured Stack 195 Adjacency List 198 Undirected Graph 201 Directed Graph 204 Directed Acyclic Graph 208 Propositional and Directed Acyclic Word Graph 212 Multigraph and Hypergraph 215 Binary Decision Diagrams & And Inverter Graph 218 Linear Search Iterative 221 Binary Search Iterative 229 Uniform Binary Search 233 Fibonacci Search 235 Selection Sort 237 Bubble Sort 240 Merge Sort 243 Pancake Sort 246 Depth First Search 250 Breadth First Search 253 Recursion 256 Factorial using Recursion 262 Fibonacci using Recursion 267 Sum of n Natural Numbers using Recursion 273 String Reversal using Recursion 279 Decimal to Binary Conversion using Recursion 285 Length of a Linked List using Recursion 292 Length of a String using Recursion 297 Largest and Smallest Number in an Array using Recursion 302 Largest and Smallest Number in a Linked List using Recursion 307 Search an Element in an Array using Recursion 313 Search an Element in a Linked List using Recursion 323 Dynamic Programming 331 Fibonacci using Dynamic Programming 334 Coin Change Problem 341 Maximum Sum of Continuous Subarray 346 Kadane’s Algorithm 352 Longest Increasing Subsequence 357 Rod Cutting 362 Minimum Number of Jumps 369 0/1 Knapsack Problem 375 Matrix-chain Multiplication 379 Longest Common Subsequence 387 Longest Palindromic Subsequence 393 Edit Distance Problem 400 Wagner-Fischer Algorithm 407 Catalan Number using Dynamic Programming 413 Assembly Line Scheduling 418 Minimum Insertions to form a Palindrome 425 Maximum Sum Rectangle in a 2D Matrix 432 Balanced Partition 437 Dice Throw Problem 444 Counting Boolean Parenthesizations 452 Topological Sort 455 TEST YOURSELF 458
Author: S.R. Subramanya
Author: S.R. Subramanya
Author: Amrinder Arora
Author: S. R. Subramanya
Author: Narayan Changder
Author: Kenneth Lange
Author: Thomas H. Cormen
Author: Magnus Lie Hetland
Author: Sanjoy Dasgupta
Author: Rajeev Motwani
Author: Harry Chaudhary.