A Quick Reference To Data Structures And Computer Algorithms

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Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS

Author : Ramakrishnan Nair Raji
Publisher : BPB Publications
ISBN 13 : 9389328101
Total Pages : 336 pages
Book Rating : 4.3/5 (893 download)

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Book Synopsis Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS by : Ramakrishnan Nair Raji

Download or read book Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS written by Ramakrishnan Nair Raji and published by BPB Publications. This book was released on 2019-09-20 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: For beginners to level up Core Programming SkillsKey features Simple and easy to understand. Useful for any level of students including B.E., BTech, MCA, BCA, B.Sc. (Computer Science), etc. Algorithms used in the book are well explained and illustrated step by step. Help students in understanding how data structures are implemented in programs. Each module contains question bank which includes questions for competitive examinations like UGC-NET, placement drives, and so on. Description The book gives full understanding of theoretical topic and easy implementation in programming. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs. It contains lot of figures, which will help students to visualize the concept effectively. Diagrams help students to understand how the programs involving data structure concepts are implemented within the computer system.Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of algorithm is provided in the book to ensure the in - depth knowledge of students about the concept discussed. What will you learn New features and essential of Algorithms and Arrays. Linked List, its type and implementation. Stacks and Queues Trees and Graphs Searching and Sorting Greedy method Beauty of Blockchain Who this book is forThis book is useful for all the students of B. Tech, B.E., MCA, BCA, B.Sc. (Computer Science), and so on. Person with basic knowledge in this field can understand the concept from the beginning of the book itself.We think our book is one of a kind. We are trying to connect the past and the present here. The last module of our book is focussing on BLOCKCHAIN. It explains the concepts of blockchain through a different dimension, that is, explaining the data structure aspect of blockchain.Table of contents1. Algorithm and Arrays2. Linked Lists3. Stacks and queues4. Trees and Graphs5. Searching and Sorting6. Greedy Method7. Beauty of Blockchain About the authorRaji Ramakrishnan Nair has done BCA, MCA and M. Tech (IT) and currently working as an Assistant Professor at the P. G. Department of Computer Applications of Marian College Kuttikkanam (Autonomous). She has 14 years of teaching experience and believes that teaching is all about being 'friend, philosopher and guide' to her students. This book is inspired by her passion to simplify complex subjects for easy understanding; the real contribution of a great teacher. She is a philanthropist as well, actively involved in many social causes, which made her students to engage in relief works in Kerala mega flood and resulted in two houses being built for flood victims.Her LinkedIn Profile: linkedin.com/in/raji-ramakrishnan-nair-8820b1171 Divya Joseph, is a Teacher by passion and profession. She has done MTech (CSE) and BTech (IT) from Amal Jyothi College of Engineering, Kanjirapally. Presently, she is working as an Assistant Professor in the P.G. Department of Computer Applications, Marian College Kuttikkanam (Autonomous). Alen Joseph is an Associate Software Developer at UST Global Trivandrum. His great passion for teaching and research motivated him to write this book. He has done MCA from Marian College Kuttikkanam (Autonomous). He is a passionate tech enthusiast and his dream is to become a full-time researcher.

Data Structures and Algorithms

Author : C V Sastry
Publisher : I K International Pvt Ltd
ISBN 13 : 9385909843
Total Pages : 255 pages
Book Rating : 4.3/5 (859 download)

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Book Synopsis Data Structures and Algorithms by : C V Sastry

Download or read book Data Structures and Algorithms written by C V Sastry and published by I K International Pvt Ltd. This book was released on 2018-01-13 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book in an outcome of long years of teaching experience for undergraduate as well as post graduate students, and is an attempt to put together all the essential topics of data structures and Algorithms for easy reference. The under-graduate students of computer science and engineering, post-graduate students of computer applications and computer science and engineering will find this book very useful. It contains several multiple choice questions under each chapter which will be useful for those who aspire to write the GATE examination.

A Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS

Author : Raji Ramakrishnan Nair
Publisher : BPB Publications
ISBN 13 : 9388176588
Total Pages : 343 pages
Book Rating : 4.3/5 (881 download)

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Book Synopsis A Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS by : Raji Ramakrishnan Nair

Download or read book A Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS written by Raji Ramakrishnan Nair and published by BPB Publications. This book was released on 2019-09-18 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: For beginners to level up Core Programming Skills DESCRIPTION The book gives full understanding of theoretical topic and easy implementation in programming. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs. It contains lot of figures, which will help students to visualize the concept effectively. Diagrams help students to understand how the programs involving data structure concepts are implemented within the computer system. Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of algorithm is provided in the book to ensure the in Ð depth knowledge of students about the concept discussed. KEY FEATURES Simple and easy to understand. Useful for any level of students including B.E., BTech, MCA, BCA, B.Sc. (Computer Science), etc. Algorithms used in the book are well explained and illustrated step by step. Help students in understanding how data structures are implemented in programs. Each module contains question bank which includes questions for competitive examinations like UGC-NET, placement drives, and so on. WHAT WILL YOU LEARN New features and essential of Algorithms and Arrays. Linked List, its type and implementation. Stacks and Queues Trees and Graphs Searching and Sorting Greedy method Beauty of Blockchain WHO THIS BOOK IS FOR This book is useful for all the students of B. Tech, B.E., MCA, BCA, B.Sc. (Computer Science), and so on. Person with basic knowledge in this field can understand the concept from the beginning of the book itself. We think our book is one of a kind. We are trying to connect the past and the present here. The last module of our book is focussing on BLOCKCHAIN. It explains the concepts of blockchain through a different dimension, that is, explaining the data structure aspect of blockchain. Table of Contents 1. Algorithm and Arrays 2. Linked Lists 3. Stacks and queues 4. Trees and Graphs 5. Searching and Sorting 6. Greedy Method 7. Beauty of Blockchain

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680508059
Total Pages : 714 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis A Common-Sense Guide to Data Structures and Algorithms, Second Edition by : Jay Wengrow

Download or read book A Common-Sense Guide to Data Structures and Algorithms, Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for todayâ€™s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. Youâ€™ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Algorithms and Data Structures for External Memory

Author : Jeffrey Scott Vitter
Publisher : Now Publishers Inc
ISBN 13 : 1601981066
Total Pages : 192 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Algorithms and Data Structures for External Memory by : Jeffrey Scott Vitter

Download or read book Algorithms and Data Structures for External Memory written by Jeffrey Scott Vitter and published by Now Publishers Inc. This book was released on 2008 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes several useful paradigms for the design and implementation of efficient external memory (EM) algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.

Algorithms and Data Structures for Massive Datasets

Author : Dzejla Medjedovic
Publisher : Simon and Schuster
ISBN 13 : 1638356564
Total Pages : 302 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Algorithms and Data Structures for Massive Datasets by : Dzejla Medjedovic

Download or read book Algorithms and Data Structures for Massive Datasets written by Dzejla Medjedovic and published by Simon and Schuster. This book was released on 2022-08-16 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. About the technology Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the reader Examples in Python, R, and pseudocode. About the author Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Table of Contents 1 Introduction PART 1 HASH-BASED SKETCHES 2 Review of hash tables and modern hashing 3 Approximate membership: Bloom and quotient filters 4 Frequency estimation and count-min sketch 5 Cardinality estimation and HyperLogLog PART 2 REAL-TIME ANALYTICS 6 Streaming data: Bringing everything together 7 Sampling from data streams 8 Approximate quantiles on data streams PART 3 DATA STRUCTURES FOR DATABASES AND EXTERNAL MEMORY ALGORITHMS 9 Introducing the external memory model 10 Data structures for databases: B-trees, Bε-trees, and LSM-trees 11 External memory sorting

Data Structures and Algorithms in Java

Author : Michael T. Goodrich
Publisher : John Wiley & Sons
ISBN 13 : 1118771338
Total Pages : 736 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich

Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

A Practical Introduction to Data Structures and Algorithm Analysis

Author : Clifford A. Shaffer
Publisher :
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis A Practical Introduction to Data Structures and Algorithm Analysis by : Clifford A. Shaffer

Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.

Programming Challenges

Author : Steven S Skiena
Publisher : Springer Science & Business Media
ISBN 13 : 038722081X
Total Pages : 376 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Programming Challenges by : Steven S Skiena

Download or read book Programming Challenges written by Steven S Skiena and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available.

Advanced Algorithms and Data Structures

Author : Marcello La Rocca
Publisher : Simon and Schuster
ISBN 13 : 1638350221
Total Pages : 768 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Advanced Algorithms and Data Structures by : Marcello La Rocca

Download or read book Advanced Algorithms and Data Structures written by Marcello La Rocca and published by Simon and Schuster. This book was released on 2021-08-10 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. Summary As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. About the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms About the reader For intermediate programmers. About the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Table of Contents 1 Introducing data structures PART 1 IMPROVING OVER BASIC DATA STRUCTURES 2 Improving priority queues: d-way heaps 3 Treaps: Using randomization to balance binary search trees 4 Bloom filters: Reducing the memory for tracking content 5 Disjoint sets: Sub-linear time processing 6 Trie, radix trie: Efficient string search 7 Use case: LRU cache PART 2 MULTIDEMENSIONAL QUERIES 8 Nearest neighbors search 9 K-d trees: Multidimensional data indexing 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval 11 Applications of nearest neighbor search 12 Clustering 13 Parallel clustering: MapReduce and canopy clustering PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER 14 An introduction to graphs: Finding paths of minimum distance 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections 16 Gradient descent: Optimization problems (not just) on graphs 17 Simulated annealing: Optimization beyond local minima 18 Genetic algorithms: Biologically inspired, fast-converging optimization

The Algorithm Design Manual

Author : Steven S Skiena
Publisher : Springer Science & Business Media
ISBN 13 : 1848000707
Total Pages : 742 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis The Algorithm Design Manual by : Steven S Skiena

Download or read book The Algorithm Design Manual written by Steven S Skiena and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Open Data Structures

Author : Pat Morin
Publisher : Athabasca University Press
ISBN 13 : 1927356385
Total Pages : 336 pages
Book Rating : 4.9/5 (273 download)

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Book Synopsis Open Data Structures by : Pat Morin

Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

An Introduction to Data Structures and Algorithms

Author : J.A. Storer
Publisher : Springer Science & Business Media
ISBN 13 : 146120075X
Total Pages : 609 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis An Introduction to Data Structures and Algorithms by : J.A. Storer

Download or read book An Introduction to Data Structures and Algorithms written by J.A. Storer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel

Data Structures and Algorithm Analysis in Java, Third Edition

Author : Clifford A. Shaffer
Publisher : Courier Corporation
ISBN 13 : 0486173569
Total Pages : 607 pages
Book Rating : 4.4/5 (861 download)

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Book Synopsis Data Structures and Algorithm Analysis in Java, Third Edition by : Clifford A. Shaffer

Download or read book Data Structures and Algorithm Analysis in Java, Third Edition written by Clifford A. Shaffer and published by Courier Corporation. This book was released on 2012-09-06 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language.

Think Data Structures

Author : Allen B. Downey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491972319
Total Pages : 149 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Think Data Structures by : Allen B. Downey

Download or read book Think Data Structures written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2017-07-07 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.

Data Structures and Algorithms with JavaScript

Author : Michael McMillan
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937395X
Total Pages : 274 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Structures and Algorithms with JavaScript by : Michael McMillan

Download or read book Data Structures and Algorithms with JavaScript written by Michael McMillan and published by "O'Reilly Media, Inc.". This book was released on 2014-03-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you’re trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included. This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms

Data Structures And Algorithms

Author : Shi-kuo Chang
Publisher : World Scientific
ISBN 13 : 9814486159
Total Pages : 361 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Data Structures And Algorithms by : Shi-kuo Chang

Download or read book Data Structures And Algorithms written by Shi-kuo Chang and published by World Scientific. This book was released on 2003-09-29 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as well as the concept of interface design. The book contains many examples and diagrams. Whenever appropriate, program codes are included to facilitate learning.This book is supported by an international group of authors who are experts on data structures and algorithms, through its website at www.cs.pitt.edu/~jung/GrowingBook/, so that both teachers and students can benefit from their expertise.