DATA STRUCTURES AND ALGORITHMS IN JAVA, 3RD ED

Author: Michael T. Goodrich,Roberto Tamassia

Publisher: John Wiley & Sons

ISBN: 9788126515226

Category:

Page: 700

View: 1661

Special Features: · Discussion of object-oriented design and the Java programming language, including the Collections Framework and Design Patterns· Coverage of Internet-related topics, including hashing and text processing· Hundreds of exercises categorized by Reinforcement, Creativity, and Projects get students thinking like programmers and applying what they've learned· Offers a unique multimedia format for learning the fundamentals of Data Structures & Algorithms· Outstanding writing style presents even the most difficult mathematical concepts clearly· Animations and powerful art program illustrate data structures and algorithms in a clear visual manner About The Book: · Entirely new chapter on recursion· Additional exercises on the analysis of simple algorithms· New case study on parenthesis matching and HTML validation· Expanded coverage of splay trees· Added examples and programming exercises throughout

Data Structures and Algorithms in Java

Author: Adam Drozdek

Publisher: Cengage Learning

ISBN: 0534492525

Category: Computers

Page: 650

View: 9095

Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms’ complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Algorithmen - Eine Einführung

Author: Thomas H. Cormen,Charles E. Leiserson,Ronald Rivest,Clifford Stein

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110522012

Category: Computers

Page: 1339

View: 5088

Der "Cormen" bietet eine umfassende und vielseitige Einführung in das moderne Studium von Algorithmen. Es stellt viele Algorithmen Schritt für Schritt vor, behandelt sie detailliert und macht deren Entwurf und deren Analyse allen Leserschichten zugänglich. Sorgfältige Erklärungen zur notwendigen Mathematik helfen, die Analyse der Algorithmen zu verstehen. Den Autoren ist es dabei geglückt, Erklärungen elementar zu halten, ohne auf Tiefe oder mathematische Exaktheit zu verzichten. Jedes der weitgehend eigenständig gestalteten Kapitel stellt einen Algorithmus, eine Entwurfstechnik, ein Anwendungsgebiet oder ein verwandtes Thema vor. Algorithmen werden beschrieben und in Pseudocode entworfen, der für jeden lesbar sein sollte, der schon selbst ein wenig programmiert hat. Zahlreiche Abbildungen verdeutlichen, wie die Algorithmen arbeiten. Ebenfalls angesprochen werden Belange der Implementierung und andere technische Fragen, wobei, da Effizienz als Entwurfskriterium betont wird, die Ausführungen eine sorgfältige Analyse der Laufzeiten der Programme mit ein schließen. Über 1000 Übungen und Problemstellungen und ein umfangreiches Quellen- und Literaturverzeichnis komplettieren das Lehrbuch, dass durch das ganze Studium, aber auch noch danach als mathematisches Nachschlagewerk oder als technisches Handbuch nützlich ist. Für die dritte Auflage wurde das gesamte Buch aktualisiert. Die Änderungen sind vielfältig und umfassen insbesondere neue Kapitel, überarbeiteten Pseudocode, didaktische Verbesserungen und einen lebhafteren Schreibstil. So wurden etwa - neue Kapitel zu van-Emde-Boas-Bäume und mehrfädigen (engl.: multithreaded) Algorithmen aufgenommen, - das Kapitel zu Rekursionsgleichungen überarbeitet, sodass es nunmehr die Teile-und-Beherrsche-Methode besser abdeckt, - die Betrachtungen zu dynamischer Programmierung und Greedy-Algorithmen überarbeitet; Memoisation und der Begriff des Teilproblem-Graphen als eine Möglichkeit, die Laufzeit eines auf dynamischer Programmierung beruhender Algorithmus zu verstehen, werden eingeführt. - 100 neue Übungsaufgaben und 28 neue Problemstellungen ergänzt. Umfangreiches Dozentenmaterial (auf englisch) ist über die Website des US-Verlags verfügbar.

Data Structures and Algorithms in C++, 2nd Edition

Author: Michael T. Goodrich,Roberto Tamassia,David M. Mount

Publisher: Wiley Global Education

ISBN: 1118136632

Category: Computers

Page: 744

View: 382

Building on the success of Data Structures and Algorithms in Java, Goodrich/Tamassia/Mount Data Structures and Algorithms In C++ 2e offers an innovative approach to fundamental data structures and algorithms. The text incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. The authors' highly visual approach and extensive suite of web-based learning and teaching tools give students the opportunity visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design.

Data Structures and Algorithms Made Easy in Java

Data Structure and Algorithmic Puzzles, Second Edition

Author: Narasimha Karumanchi

Publisher: N.A

ISBN: 9788192107554

Category:

Page: 438

View: 778

Video Link: youtube.com/watch?v=l_GRquIrVyg A handy guide of sorts for any computer science professional, "Data Structures And Algorithms Made Easy in Java: Data Structure 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. The book has around 21 chapters and covers 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, and other Miscellaneous Concepts. Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems. Peeling Data Structures and Algorithms for (Java, Second Edition): Programming puzzles for interviewsCampus PreparationDegree/Masters Course PreparationInstructor'sBig job hunters: Microsoft, Google, Apple, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Face book, McAfee and many moreReference Manual for working people What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we ennumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities. Topics Covered: IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language? All code was written in Java. If you are using C/C++, please search for "Data Structures and Algorithms Made Easy." Also, check out sample chapters and the blog at: CareerMonk.com

Data Structures , Algorithms, And Applications In Java (second Edition)

Author: Sartaj Sahni

Publisher: Universities Press

ISBN: 9788173715235

Category:

Page: 872

View: 7065

This new edition provides a comprehensive coverage of fundamental data structures, making it ideal for use in computer science Courses. Real-world applications are a unique feature of this text. Dr. Sahni provides several applications for each data structure and algorithm design method disussed, taking examples from topics such as sorting, compression and coding, and image processing.

Algorithmen in C

Author: Robert Sedgewick

Publisher: Pearson Deutschland GmbH

ISBN: 9783893193769

Category: Algorithmus

Page: 742

View: 1553

CLASSIC DATA STRUCTURES, 2nd ed.

Author: Samanta,Samanta Debasis

Publisher: PHI Learning Pvt. Ltd.

ISBN: 812033731X

Category: Computer algorithms

Page: 940

View: 7080

Data Structures & Algorithms in Java

Author: Mitchell Waite,Robert Lafore

Publisher: Prentice Hall

ISBN: 9781571690951

Category: Computers

Page: 625

View: 733

Bestselling author Robert Lafore has perfectly timed this book to ride the wave of universities who are switching to Java for introductory programming courses, in which data structures and algorithms are key topic areas. The CD-ROM contains "workshop applets"--Java demo programs that run on a Web browser.

Die Kunst der JavaScript-Programmierung

Eine moderne Einführung in die Sprache des Web

Author: Marijn Haverbeke

Publisher: dpunkt.verlag

ISBN: 3864911915

Category: Computers

Page: 240

View: 3945

Das Buch ist eine Einführung in JavaScript, die sich auf gute Programmiertechniken konzentriert. Der Autor lehrt den Leser, wie man die Eleganz und Präzision von JavaScript nutzt, um browserbasierte Anwendungen zu schreiben. Das Buch beginnt mit den Grundlagen der Programmierung - Variablen, Kontrollstrukturen, Funktionen und Datenstrukturen -, dann geht es auf komplexere Themen ein, wie die funktionale und objektorientierte Programmierung, reguläre Ausdrücke und Browser-Events. Unterstützt von verständlichen Beispielen wird der Leser rasch die Sprache des Web fließend 'sprechen' können.

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 7278

Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Database Systems

A Pragmatic Approach

Author: Elvis Foster,Shripad Godbole

Publisher: Apress

ISBN: 1484208773

Category: Computers

Page: 556

View: 6557

Database Systems: A Pragmatic Approach is a classroom textbook for use by students who are learning about relational databases, and the professors who teach them. It discusses the database as an essential component of a software system, as well as a valuable, mission critical corporate resource. The book is based on lecture notes that have been tested and proven over several years, with outstanding results. It also exemplifies mastery of the technique of combining and balancing theory with practice, to give students their best chance at success. Upholding his aim for brevity, comprehensive coverage, and relevance, author Elvis C. Foster's practical and methodical discussion style gets straight to the salient issues, and avoids unnecessary fluff as well as an overkill of theoretical calculations. The book discusses concepts, principles, design, implementation, and management issues of databases. Each chapter is organized systematically into brief, reader-friendly sections, with itemization of the important points to be remembered. It adopts a methodical and pragmatic approach to solving database systems problems. Diagrams and illustrations also sum up the salient points to enhance learning. Additionally, the book includes a number of Foster's original methodologies that add clarity and creativity to the database modeling and design experience while making a novel contribution to the discipline. Everything combines to make Database Systems: A Pragmatic Approach an excellent textbook for students, and an excellent resource on theory for the practitioner.

Learning JavaScript Data Structures and Algorithms

Author: Loiane Groner

Publisher: Packt Publishing Ltd

ISBN: 178355388X

Category: Computers

Page: 314

View: 8486

Hone your skills by learning classic data structures and algorithms in JavaScript About This Book Understand common data structures and the associated algorithms, as well as the context in which they are used. Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs. All concepts are explained in an easy way, followed by examples. Who This Book Is For If you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms. What You Will Learn Declare, initialize, add, and remove items from arrays, stacks, and queues Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures Harness the power of creating linked lists, doubly linked lists, and circular linked lists Store unique elements with hash tables, dictionaries, and sets Use binary trees and binary search trees Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort In Detail This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks. Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches. Style and approach This book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world.

Programmieren lernen mit Python

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868999477

Category: Computers

Page: 312

View: 8156

Python ist eine moderne, interpretierte, interaktive und objektorientierte Skriptsprache, vielseitig einsetzbar und sehr beliebt. Mit mathematischen Vorkenntnissen ist Python leicht erlernbar und daher die ideale Sprache für den Einstieg in die Welt des Programmierens. Das Buch führt Sie Schritt für Schritt durch die Sprache, beginnend mit grundlegenden Programmierkonzepten, über Funktionen, Syntax und Semantik, Rekursion und Datenstrukturen bis hin zum objektorientierten Design. Jenseits reiner Theorie: Jedes Kapitel enthält passende Übungen und Fallstudien, kurze Verständnistests und kleinere Projekte, an denen Sie die neu erlernten Programmierkonzepte gleich ausprobieren und festigen können. Auf diese Weise können Sie das Gelernte direkt anwenden und die jeweiligen Programmierkonzepte nachvollziehen. Lernen Sie Debugging-Techniken kennen: Am Ende jedes Kapitels finden Sie einen Abschnitt zum Thema Debugging, der Techniken zum Aufspüren und Vermeiden von Bugs sowie Warnungen vor entsprechenden Stolpersteinen in Python enthält. Starten Sie durch: Beginnen Sie mit den Grundlagen der Programmierung und den verschiedenen Programmierkonzepten, und lernen Sie, wie ein Informatiker zu programmieren.

Schaum's Outline of Data Structures with Java, Second Edition

Author: John Hubbard

Publisher: McGraw Hill Professional

ISBN: 0071509933

Category: Study Aids

Page: 384

View: 6598

Updated to include information on the Scanner class, autoboxing, static imports, and loops Includes more than 260 solved problems and examples Covers the Advanced Placement exam in computer science, now entirely in Java

Data Structures and Algorithm Analysis in C

Author: Mark Allen Weiss

Publisher: N.A

ISBN: 9780321189950

Category: C (Computer program language)

Page: 511

View: 3850

In this second edition of his best-selling book, Data Structures and Algorithm Analysis in C, Mark Allen Weiss, continues to refine and enhance his innovative approach to algorithms and data structures. Using a C implementation, he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr Weiss also distinguishes Data Structures and Algorithm Analysis in C with the extensive use of figures and examples showing the successive stages of an algorithm, his engaging writing style, and a logical organization of topics. greedy algorithms, divide and conquer algorithms, dynamic programming, randomized algorithms, and backtracking * Presents current topics and newer data structures such as Fibonacci heaps, skew heaps, binomial queues, skip lists, and splay trees * Contains a chapter on amortized analysis that examines the advanced data structures presented earlier in the book * Provides a new chapter on advanced data structures and their implementation covering red black trees, top down splay trees, treaps, k-d trees, pairing heaps, and more * Incorporates new results on the average case analysis of heapsort * Offers source code from example programs via anonymous FTP 0201498405B04062001

Data Structures and Algorithms Made Easy

Data Structure and Algorithmic Puzzles, Second Edition

Author: Narasimha Karumanchi

Publisher: Careermonk Publications

ISBN: 9788192107547

Category: Computers

Page: 428

View: 2995

Peeling Data Structures and Algorithms for interviews [re-printed with corrections and new problems]: "Data Structures And Algorithms Made Easy: Data Structure 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 Structure 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. The book has around 21 chapters and covers 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, and other Miscellaneous Concepts. Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems. What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we enumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities. Topics Covered: IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language? All code was written in C/C++. If you are using Java, please search for "Data Structures and Algorithms Made Easy in Java." Also, check out sample chapters and the blog at: CareerMonk.com