101 Algorithms Questions You Must Know

101 Algorithms Questions You Must Know
Author: Amrinder Arora
Publisher:
Total Pages: 159
Release: 2018-12-29
Genre:
ISBN: 9781718157422

"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.

Artificial Intelligence: 101 Things You Must Know Today About Our Future

Artificial Intelligence: 101 Things You Must Know Today About Our Future
Author: Lasse Rouhiainen
Publisher: Lasse Rouhiainen
Total Pages: 289
Release: 2018-01-31
Genre: Business & Economics
ISBN: 1982048808

Do you wonder what the coming years hold for Artificial Intelligence? Discover how technological breakthroughs will change your world. Are you worried that AI will steal your job? Do you fear you’ll get left behind in the data-driven marketplace? Are you concerned about AI disrupting your life? Digital expert, speaker, and internationally recognized thought leader Lasse Rouhiainen has educated countless future-focused crowds in conferences around the world. Now he’s here to demystify the AI revolution and show you how this inevitable technology will help humankind produce cheaper, faster, and better than ever. Artificial Intelligence: 101 Things You Must Know Today About Our Future is a complete introduction to how emergent technologies impact every aspect of business, society, and humanity. Addressing the hottest topics in AI from self-driving cars, to chatbots and robotic healthcare, Rouhiainen’s comprehensive information answers your burning questions and addresses obvious fears. Armed with practical tools and strategies, you’ll learn how to best prepare for an extraordinary wave of innovation. In Artificial Intelligence: 101 Things You Must Know Today About Our Future, you’ll discover: - Chatbots, robots, other automated functions, and how these will revolutionize society - Which industries will be disrupted and how to forward-plan - How new jobs emerge and what skills you’ll need to take advantage of them - Why ethical standards and re-education are crucial for a modern workforce - Charts, visual guides, and infographics to expand your understanding and much, much more! Artificial Intelligence: 101 Things You Must Know Today About Our Future is your essential roadmap to guide you into the next generation. If you like straightforward explanations of complex issues, broad-ranging applications, and real-world examples, then you’ll love Lasse Rouhiainen’s detailed resource. Buy Artificial Intelligence to examine this major tech upheaval today!

Analysis and Design of Algorithms

Analysis and Design of Algorithms
Author: Amrinder Arora
Publisher:
Total Pages: 184
Release: 2021-03-10
Genre:
ISBN: 9781793520432

Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book was written with an express purpose of being easy - to understand, read, and carry. It presents a pioneering approach in the teaching of algorithms, based on learning algorithm design techniques, and not merely solving a collection of problems. This allows students to master one design technique at a time and apply it to a rich variety of problems. Analysis and Design of Algorithms covers the algorithmic design techniques of divide and conquer, greedy, dynamic programming, branch and bound, and graph traversal. For each of these techniques, there are templates and guidelines on when to use and not to use each technique. Many sections contain innovative mnemonics to aid the readers in remembering the templates and key takeaways. Additionally, the book covers NP-completeness and the inherent hardness of problems. The third edition includes a new section on polynomial multiplication, as well as additional exercise problems, and an updated appendix. Written with input from students and professionals, Analysis and Design of Algorithms is well suited for introductory algorithm courses at the undergraduate and graduate levels. The structured organization of the text makes it especially appropriate for online and distance learning.

Spies, Lies, and Algorithms

Spies, Lies, and Algorithms
Author: Amy B. Zegart
Publisher: Princeton University Press
Total Pages: 424
Release: 2022-02
Genre: Computers
ISBN: 0691147132

Intelligence challenges in the digital age : Cloaks, daggers, and tweets -- The education crisis : How fictional spies are shaping public opinion and intelligence policy -- American intelligence history at a glance-from fake bakeries to armed drones -- Intelligence basics : Knowns and unknowns -- Why analysis is so hard : The seven deadly biases -- Counterintelligence : To catch a spy -- Covert action - "a hard business of agonizing choices" -- Congressional oversight : Eyes on spies -- Intelligence isn't just for governments anymore : Nuclear sleuthing in a Google earth world -- Decoding cyber threats.

Algorithms, Part II

Algorithms, Part II
Author: Robert Sedgewick
Publisher: Addison-Wesley Professional
Total Pages: 973
Release: 2014-02-01
Genre: Computers
ISBN: 0133847268

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Java 9 Data Structures and Algorithms

Java 9 Data Structures and Algorithms
Author: Debasish Ray Chawdhuri
Publisher: Packt Publishing Ltd
Total Pages: 340
Release: 2017-04-28
Genre: Computers
ISBN: 1785888072

Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient code About This Book This book provides complete coverage of reactive and functional data structures Based on the latest version of Java 9, this book illustrates the impact of new features on data structures Gain exposure to important concepts such as Big-O Notation and Dynamic Programming Who This Book Is For This book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What You Will Learn Understand the fundamentals of algorithms, data structures, and measurement of complexity Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists Get a grasp on the basics of abstract data types—stack, queue, and double ended queue See how to use recursive functions and immutability while understanding and in terms of recursion Handle reactive programming and its related data structures Use binary search, sorting, and efficient sorting—quicksort and merge sort Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much more In Detail Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more! Style and approach This book will teach you about all the major algorithms in a step-by-step manner. Special notes on the Big-O Notation and its impact on algorithms will give you fresh insights.

The Algorithm Design Manual

The Algorithm Design Manual
Author: Steven S Skiena
Publisher: Springer Science & Business Media
Total Pages: 742
Release: 2009-04-05
Genre: Computers
ISBN: 1848000707

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

Programming Interviews Exposed

Programming Interviews Exposed
Author: John Mongan
Publisher: John Wiley & Sons
Total Pages: 303
Release: 2011-08-10
Genre: Computers
ISBN: 1118169387

The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.

Python Algorithms

Python Algorithms
Author: Magnus Lie Hetland
Publisher: Apress
Total Pages: 325
Release: 2011-02-27
Genre: Computers
ISBN: 1430232382

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.

Introduction to Algorithms, third edition

Introduction to Algorithms, third edition
Author: Thomas H. Cormen
Publisher: MIT Press
Total Pages: 1313
Release: 2009-07-31
Genre: Computers
ISBN: 0262258102

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.