a programmer s companion to algorithm analysis

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A Programmer S Companion To Algorithm Analysis

Author : Ernst L. Leiss
ISBN : 9781420011708
Genre : Computers
File Size : 43. 19 MB
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Until now, no other book examined the gap between the theory of algorithms and the production of software programs. Focusing on practical issues, A Programmer's Companion to Algorithm Analysis carefully details the transition from the design and analysis of an algorithm to the resulting software program. Consisting of two main complementary parts, the book emphasizes the concrete aspects of translating an algorithm into software that should perform based on what the algorithm analysis indicated. In the first part, the author describes the idealized universe that algorithm designers inhabit while the second part outlines how this ideal can be adapted to the real world of programming. The book explores analysis techniques, including crossover points, the influence of the memory hierarchy, implications of programming language aspects, such as recursion, and problems arising from excessively high computational complexities of solution methods. It concludes with four appendices that discuss basic algorithms; memory hierarchy, virtual memory management, optimizing compilers, and garbage collection; NP-completeness and higher complexity classes; and undecidability in practical terms. Applying the theory of algorithms to the production of software, A Programmer's Companion to Algorithm Analysis fulfills the needs of software programmers and developers as well as students by showing that with the correct algorithm, you can achieve a functional software program.

Algorithm Engineering

Author : Matthias Müller-Hannemann
ISBN : 9783642148651
Genre : Computers
File Size : 73. 11 MB
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Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, and an ever increasing demand for efficient solution to actual real world problems have led to a rising gap between classical algorithm theory and algorithmics in practice. The emerging discipline of Algorithm Engineering aims at bridging this gap. Driven by concrete applications, Algorithm Engineering complements theory by the benefits of experimentation and puts equal emphasis on all aspects arising during a cyclic solution process ranging from realistic modeling, design, analysis, robust and efficient implementations to careful experiments. This tutorial - outcome of a GI-Dagstuhl Seminar held in Dagstuhl Castle in September 2006 - covers the essential aspects of this process in ten chapters on basic ideas, modeling and design issues, analysis of algorithms, realistic computer models, implementation aspects and algorithmic software libraries, selected case studies, as well as challenges in Algorithm Engineering. Both researchers and practitioners in the field will find it useful as a state-of-the-art survey.

Handbuch Der Softwareumfangsmessung Und Aufwandsch Tzung

Author : Reiner Dumke
ISBN : 9783832537845
Genre : Business & Economics
File Size : 84. 95 MB
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Die Aufwandschätzung von Softwaresystemen ist und bleibt in der heutigen weltweit verzweigten bzw. agilen Softwareerstellung ein aktuelles und vor allem immer bedeutungsvolleres Thema im Bereich der Softwareentwicklung und -bereitstellung. Um den wirklichen Aufwand für eine Softwaresystementwicklung zu bestimmen ist jedoch erst einmal eine möglichst exakte Bestimmung oder gar Messung des zu realisierenden funktionalen Softwareumfangs notwendig. Genau dieser Thematik widmet sich das vorliegende Handbuch in grundlegender Weise. Es behandelt die bekanntesten Umfangsmess- und Aufwandschätzverfahren nach ihrer Evidenz und Effizienz in ihrer praktischen Anwendung. Den Hauptteil dieses Handbuches bildet eine erstmals umfassende und vollständige Beschreibung der exakten Bestimmung des Softwarefunktionsumfangs nach dem so genannten COSMIC Function Points Ansatz. Diese Methode ist auch unter der Bezeichnung Next Generation of Functional Size Measurement weltweit bekannt und bezieht vor allem moderne Paradigmen und Systemarten, wie die eingebetteten Systeme, das SOA, das Cloud Computing und die Kommunikationssysteme sowie auch moderne Entwicklungsmethoden einer evolutionären oder agilen Softwareerstellung mit ein. Das vorliegende Handbuch ist sowohl für die Praxis als auch für den auszubildenden Hochschulbereich eine wichtige Grundlage. Es ist für Studenten mit Informatikbezug zu empfehlen, da es sich vor allem dem grundlegenden Problem des Softwareumfangs selbst widmet, welches wiederum für Anwendungen zur Aufwandschätzung aber auch für Komplexitäts- und Risikoanalysen relevant ist. Für den IT-Bereich unterstützt es das Management bei der Auswahl, Bewertung und geeigneteren Anwendung von Methoden der Softwareumfangsmessung und den damit verbundenen Fragen des Aufwandes, der Qualität und der Effizienz. Darüber hinaus werden die involvierten Communities vorgestellt und deren Rolle für die Thematik dieses Handbuch exemplarisch herausgestellt.

Algorithmen F R Dummies

Author : John Paul Mueller
ISBN : 9783527809776
Genre : Computers
File Size : 38. 14 MB
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Wir leben in einer algorithmenbestimmten Welt. Deshalb lohnt es sich zu verstehen, wie Algorithmen arbeiten. Das Buch präsentiert die wichtigsten Anwendungsgebiete für Algorithmen: Optimierung, Sortiervorgänge, Graphentheorie, Textanalyse, Hashfunktionen. Zu jedem Algorithmus werden jeweils Hintergrundwissen und praktische Grundlagen vermittelt sowie Beispiele für aktuelle Anwendungen gegeben. Für interessierte Leser gibt es Umsetzungen in Python, sodass die Algorithmen auch verändert und die Auswirkungen der Veränderungen beobachtet werden können. Dieses Buch richtet sich an Menschen, die an Algorithmen interessiert sind, ohne eine Doktorarbeit zu dem Thema schreiben zu wollen. Wer es gelesen hat, versteht, wie wichtige Algorithmen arbeiten und wie man von dieser Arbeit beispielsweise bei der Entwicklung von Unternehmensstrategien profitieren kann.

Algorithms

Author : Robert Sedgewick
ISBN : 9780133799101
Genre : Computers
File Size : 64. 95 MB
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This book is Part I 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 I contains Chapters 1 through 3 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.

Experimental Methods For The Analysis Of Optimization Algorithms

Author : Thomas Bartz-Beielstein
ISBN : 9783642025389
Genre : Computers
File Size : 26. 42 MB
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In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should follow accepted principles that guarantee the reliability and reproducibility of results. However, computational experiments differ from those in other sciences, and the last decade has seen considerable methodological research devoted to understanding the particular features of such experiments and assessing the related statistical methods. This book consists of methodological contributions on different scenarios of experimental analysis. The first part overviews the main issues in the experimental analysis of algorithms, and discusses the experimental cycle of algorithm development; the second part treats the characterization by means of statistical distributions of algorithm performance in terms of solution quality, runtime and other measures; and the third part collects advanced methods from experimental design for configuring and tuning algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributor list includes leading scientists in algorithm design, statistical design, optimization and heuristics, and most chapters provide theoretical background and are enriched with case studies. This book is written for researchers and practitioners in operations research and computer science who wish to improve the experimental assessment of optimization algorithms and, consequently, their design.

Numerical Analysis With Algorithms And Programming

Author : Santanu Saha Ray
ISBN : 9781498741767
Genre : Mathematics
File Size : 41. 44 MB
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Numerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs. It presents many techniques for the efficient numerical solution of problems in science and engineering. Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica® programs, the book includes the standard algorithms for numerical computation: Root finding for nonlinear equations Interpolation and approximation of functions by simpler computational building blocks, such as polynomials and splines The solution of systems of linear equations and triangularization Approximation of functions and least square approximation Numerical differentiation and divided differences Numerical quadrature and integration Numerical solutions of ordinary differential equations (ODEs) and boundary value problems Numerical solution of partial differential equations (PDEs) The text develops students’ understanding of the construction of numerical algorithms and the applicability of the methods. By thoroughly studying the algorithms, students will discover how various methods provide accuracy, efficiency, scalability, and stability for large-scale systems.

An Introduction To The Analysis Of Algorithms

Author : Michael Soltys
ISBN : 9789814401166
Genre : Computers
File Size : 74. 62 MB
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A successor to the first edition, this updated and revised book is a great companion guide for students and engineers alike, specifically software engineers who design reliable code. While succinct, this edition is mathematically rigorous, covering the foundations of both computer scientists and mathematicians with interest in algorithms.Besides covering the traditional algorithms of Computer Science such as Greedy, Dynamic Programming and Divide & Conquer, this edition goes further by exploring two classes of algorithms that are often overlooked: Randomised and Online algorithms OCo with emphasis placed on the algorithm itself.The coverage of both fields are timely as the ubiquity of Randomised algorithms are expressed through the emergence of cryptography while Online algorithms are essential in numerous fields as diverse as operating systems and stock market predictions.While being relatively short to ensure the essentiality of content, a strong focus has been placed on self-containment, introducing the idea of pre/post-conditions and loop invariants to readers of all backgrounds. Containing programming exercises in Python, solutions will also be placed on the book''s website.

Synchronization Algorithms And Concurrent Programming

Author : Gadi Taubenfeld
ISBN : 0131972596
Genre : Computers
File Size : 80. 81 MB
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The first textbook that focuses purely on Synchronization - a fundamental challenge in Computer Science that is fast becoming a major performance and design issue for concurrent programming on modern architectures, and for the design of distributed systems.

Algorithmen In C

Author : Robert Sedgewick
ISBN : 3893193766
Genre : Algorithmus
File Size : 42. 82 MB
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