Algorithmen - Eine Einführung

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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: 7254

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.

An Introduction to Data Structures and Algorithms

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Author: J.A. Storer

Publisher: Springer Science & Business Media

ISBN: 146120075X

Category: Computers

Page: 599

View: 2681

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

Algorithmen in C

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Author: Robert Sedgewick

Publisher: Pearson Deutschland GmbH

ISBN: 9783893193769

Category: Algorithmus

Page: 742

View: 2140

Data Structures and Algorithms: A First Course

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Author: Iain T. Adamson

Publisher: Springer Science & Business Media

ISBN: 1447110234

Category: Computers

Page: 419

View: 5834

All young computer scientists who aspire to write programs must learn something about algorithms and data structures. This book does exactly that. Based on lecture courses developed by the author over a number of years the book is written in an informal and friendly way specifically to appeal to students. The book is divided into four parts: the first on Data Structures introduces a variety of structures and the fundamental operations associated with them, together with descriptions of how they are implemented in Pascal; the second discusses algorithms and the notion of complexity; Part III is concerned with the description of successively more elaborate structures for the storage of records and algorithms for retrieving a record from such a structure by means of its key; and finally, Part IV consists of very full solutions to nearly all the exercises in the book.

Data Structures and Algorithms Using Java

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Author: William McAllister

Publisher: Jones & Bartlett Publishers

ISBN: 1449660967

Category: Computers

Page: 580

View: 1139

With an accessible writing style and manageable amount of content, Data Structures and Algorithms Using Java is the ideal text for your course. This outstanding text correlates to the recommended syllabus put forth by the Association of Computing Machinery standard curriculum guidelines. The author has produced a resource that is more readable and instructional than any other, without compromising the scope of the ACM CS103, Data Structures and Algorithms, course material. The text’s unique, student-friendly pedagogical approach and organizational structure will keep students engaged in the process of self-directed investigative discovery both inside and outside the classroom. The pedagogical features of the text, based on the author’s 30 years of teaching experience, include succinct code examples, a unique common template used as the organizational basis of each chapter, the use of pseudocode to present the major algorithms developed in the text, nearly 300 carefully designed figures, and a concise review of Java.

Data Structures and Algorithms Using C#

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Author: Michael McMillan

Publisher: Cambridge University Press

ISBN: 0521670152

Category: Computers

Page: 355

View: 1386

Michael McMillan discusses the implementation of data structures and algorithms from the .NET framework. The comprehensive text includes basic data structures and algorithms plus advanced algorithms such as probabilistic algorithms and dynamics programming.

Data Structures and Algorithms

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Author: Shi Kuo Chang

Publisher: World Scientific

ISBN: 9812383484

Category: Computers

Page: 347

View: 7677

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 http: //www.cs.pitt.edu/ jung/GrowingBook/, so that both teachers and students can benefit from their expertise

Data Structures and Algorithms in Java

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Author: Adam Drozdek

Publisher: Cengage Learning

ISBN: 0534492525

Category: Computers

Page: 650

View: 7856

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.

Data Structures and Algorithms in Java

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Author: Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser

Publisher: John Wiley & Sons

ISBN: 1118771338

Category: Computers

Page: 736

View: 3569

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.

Data Structures And Algorithms

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Author: N.A.Deshpande S.S.Sane

Publisher: Technical Publications

ISBN: 9788184310849

Category:

Page: 476

View: 6623

Fundamental ConceptsData Structures : Data, Data objects, Data types, Abstract Data Types (ADT) and Data structure, Concept of primitive and non primitive, Linear and non-linear, Static and dynamic, Persistent and ephemeral data structures,Introduction to algorithms : Definition and characteristics of an algorithm, Algorithm design.Tools : Flowcharts and pseudo code, Notations : Algorithm Header, Purpose, Conditions and return, Statements, Statement numbers, Variables, Comments, Statement constructs : Sequence, Selection, Loops and sub-algorithms.Program development : Analysis design, Coding, Testing and verification.Linear Data Structures using Sequential OrganizationConcept of sequential organization, Arrays as ADT, Storage representation of array (row major and column major). Representation of polynomials using arrays, Representation of sparse matrix, Addition, Transpose and fast transpose of sparse matrix, Time and space complexity analysis for simple and fast transpose for sparse matrix.Stacks Fundamentals, Stacks as ADT, Representation and implementation of stack using arrays, Applications of stack : Expression evaluation and conversion, Reversing a string, Parsing : Well-form parenthesis, Decimal to binary conversion, Representation of multiple stacks using single array.Recursion : Definition, Writing recursive functions, How recursion works ? Simulating recursion using stack.QueuesFundamentals, Queue as ADT, Representation and implementation of queue using arrays, Circular queue : Representation and implementation, Applications of queue : Josephus problem, Job scheduling, Queue simulation, Categorizing data, Doubly ended queue, Representation of multiple queues using single array, Priority queue.Searching and SortingSearching : Sequential, Binary and index sequential search.Sorting : General concepts : Sort order, Sort stability, Efficiency and passes, Bubble sort, Selection sort, Insertion sort, Shell, Radix, Quick and merge sort.Algorithm Analysis and StrategiesAlgorithm analysis : Time complexity : Real time and frequency count, Big 'O' and notations, Space complexity : Compile-time and run-time, Best, Average and worst cases. Algorithmic strategies : Use and the peculiar characteristics of each type, Divide and conquer (Quick sort/Tower of Hanoi), Backtracking (Eight queens problem), Greedy (Job scheduling with deadlines), Dynamic programming (Example triangulation problem) (Implementation not expected for all the examples).Programming Laboratory

Advanced Data Structures and Algorithms

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Author: A.A.Puntambekar

Publisher: Technical Publications

ISBN: 9788184314786

Category:

Page: 614

View: 7257

C++ class overview - Class definition, Objects, Class members, Access control, Class scope, Constructors and destructors, Parameter passing methods, Inline functions, Static class members, This pointer, Friend functions, Dynamic memory allocation and deallocation (new and delete), Exception handling. Function overloading, Operator overloading, Generic programming - Function and class templates, Inheritance basics, Base and derived classes, Inheritance types, Base class access control, Runtime polymorphism using virtual functions, Abstract classes, Streams I/O. Algorithms, Performance analysis-time complexity and space complexity, O-notation, Omega notation and Theta notation, Review of basic data structures - The list ADT, Stack ADT, Queue ADT, Implementation using template classes in C++, Sparse matrix representation. Dictionaries, Linear list representation, Skip list representation, Operations - Insertion, Deletion and searching, Hash table representation, Hash functions, Collision resolution-separate chaining, Open addressing-linear probing, Quadratic probing, Double hashing, Rehashing, Extendible hashing, Comparison of hashing and skip lists. Priority queues - Definition, ADT, Realizing a priority queue using heaps, Definition, Insertion, Deletion, Application-Heap sort, External sorting - Model for external sorting, Multiway merge, Polyphase merge. Search trees (Part I) : Binary search trees, Definition, ADT, Implementation, Operations-searching, Insertion and deletion, Balanced search trees - AVL trees, Definition, Height of an AVL tree, Representation, Operations-insertion, Deletion and searching. Search trees (Part II) : Red - Black trees and splay trees, B-Trees-B-Tree of order m, Height of a B-Tree, Insertion, Deletion and searching, Comparison of search trees.Divide and Conquer-General method, Applications - Binary search, Merge sort, Quick sort, Strassen s matrix multiplication. Efficient non recursive tree traversal algorithms, Biconnected components. Disjoint set operations, Union and find algorithms. Greedy method and Dynamic programming : General method (Greedy), Minimum cost spanning trees, Job sequencing with deadlines, General method (Dynamic programming), Optimal binary search trees, 0/1 Knapsack problem, Ordering matrix multiplications.

Data Structures and Efficient Algorithms

Final Report on the DFG Special Joint Initiative

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Author: Burkhard Monien

Publisher: Springer Science & Business Media

ISBN: 9783540554882

Category: Computers

Page: 389

View: 307

Myocarditis and idiopathic dilated cardiomyopathy are being increasingly recognized as important causes of heart disease and heart failure. Immunological mechanisms have long been suspected as playing a role in thesediseases but direct evidence has been lacking. Recently, animal models have be- come available, in which myocarditis can be induced either by infection with cardiotropic viruses or by autoimmuniza- tion with heart-specific antigens. This book presents and analyzes the latest information obtained from experimental models, relating it to the practical problems of diagnosis and treatment of myocarditis.

Data Structures And Algorithms

Made Easy.

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Author: Harry. H. Chaudhary.

Publisher: Programmers Mind LLC New York.

ISBN: N.A

Category: Computers

Page: 250

View: 9924

Features of Book - Essential Data Structures Skills -- Made Easy! All Code/Algo written in C Programming. || Learn with Fun strategy. Anyone can comfortably follow this book to Learn DSA Step By Step. Unique strategy- Concepts, Problems, Analysis, Questions, Solutions. Why This Book - This book gives a good start and complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Learn all Concept’s Clearly with World Famous Programmer Harry Chaudhary. Main Objective - Data structures is concerned with the storage, representation and manipulation of data in a computer. In this book, we discuss some of the more versatile and popular data structures used to solve a variety of useful problems. Among the topics are linked lists, stacks, queues, trees, graphs, sorting and hashing. What Special - Data Structures & Algorithms Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is alsoprovided. Using C, this book develops the concepts & theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. This is a handy guide of sorts for any computer science Students, This book is a solution bank for various problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. This Book also covers all aspects of CS, IT. Special Note: Digital Pdf Edition || Epub Edition is Available on Google Play & Books. less

Hands-On Data Structures and Algorithms with JavaScript

Write efficient code that is highly performant, scalable, and easily testable using JavaScript

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Author: Kashyap Mukkamala

Publisher: Packt Publishing Ltd

ISBN: 1788397541

Category: Computers

Page: 332

View: 2344

Increase your productivity by implementing complex data structures and algorithms using JavaScript Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental JavaScript data structures Get a better understanding of advanced concepts such as space and time complexity to optimize your code Focus more on solving the business problem and less on the technical challenges involved Book Description Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors. Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you! You'll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you'll increase the performance of your application using micro optimizations and memory management. By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case. What you will learn Build custom Back buttons embedded within your application Build part of a basic JavaScript syntax parser and evaluator for an online IDE Build a custom activity user tracker for your application Generate accurate recommendations for credit card approval using Decision Trees Simplify complex problems using a graphs Increase the performance of an application using micro-optimizations Who this book is for If you are a JavaScript developer looking for practical examples to implement data structures and algorithms in your web applications, then this book is for you. Familiarity with data structures and algorithms will be helpful to get the most out of this book.

Algorithms and Data Structures for External Memory

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Author: Jeffrey Scott Vitter

Publisher: Now Publishers Inc

ISBN: 1601981066

Category: Computers

Page: 174

View: 8170

Algorithms and Data Structures for External Memory 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.

Data Structures and Algorithms 1

Sorting and Searching

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Author: K. Mehlhorn

Publisher: Springer

ISBN: 9783642696749

Category: Computers

Page: 336

View: 2713

The design and analysis of data structures and efficient algorithms has gained considerable importance in recent years. The concept of "algorithm" is central in computer science, and "efficiency" is central in the world of money. I have organized the material in three volumes and nine chapters. Vol. 1: Sorting and Searching (chapters I to III) Vol. 2: Graph Algorithms and NP-completeness (chapters IV to VI) Vol. 3: Multi-dimensional Searching and Computational G- metry (chapters VII and VIII) Volumes 2 and 3 have volume 1 as a common basis but are indepen dent from each other. Most of volumes 2 and 3 can be understood without knowing volume 1 in detail. A general kowledge of algorith mic principles as laid out in chapter 1 or in many other books on algorithms and data structures suffices for most parts of volumes 2 and 3. The specific prerequisites for volumes 2 and 3 are listed in the prefaces to these volumes. In all three volumes we present and analyse many important efficient algorithms for the fundamental computa tional problems in the area. Efficiency is measured by the running time on a realistic model of a computing machine which we present in chapter I. Most of the algorithms presented are very recent inven tions; after all computer science is a very young field. There are hardly any theorems in this book which are older than 20 years and at least fifty percent of the material is younger than 10 years.