Analysis For Computer Scientists

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Analysis for Computer Scientists

Author : Michael Oberguggenberger
Publisher : Springer Science & Business Media
ISBN 13 : 0857294466
Total Pages : 342 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Analysis for Computer Scientists by : Michael Oberguggenberger

Download or read book Analysis for Computer Scientists written by Michael Oberguggenberger and published by Springer Science & Business Media. This book was released on 2011-03-19 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book’s webpage.

Analysis for Computer Scientists

Author : Michael Oberguggenberger
Publisher :
ISBN 13 : 9783319911564
Total Pages : pages
Book Rating : 4.9/5 (115 download)

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Book Synopsis Analysis for Computer Scientists by : Michael Oberguggenberger

Download or read book Analysis for Computer Scientists written by Michael Oberguggenberger and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. The text describes the mathematical theory alongside the basic concepts and methods of numerical analysis, enriched by computer experiments using MATLAB, Python, Maple, and Java applets. This fully updated and expanded new edition also features an even greater number of programming exercises. Topics and features : Describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; Discusses important applications and advanced topics, such as fractals and L-systems, numerical integration, linear regression, and differential equations; Presents tools from vector and matrix algebra in the appendices, together with further information on continuity; Includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation (NEW); Contains experiments, exercises, definitions, and propositions throughout the text; Supplies programming examples in Python, in addition to MATLAB (NEW); Provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material.

The Design and Analysis of Algorithms

Author : Dexter C. Kozen
Publisher : Springer Science & Business Media
ISBN 13 : 1461244005
Total Pages : 327 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis The Design and Analysis of Algorithms by : Dexter C. Kozen

Download or read book The Design and Analysis of Algorithms written by Dexter C. Kozen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are my lecture notes from CS681: Design and Analysis of Algo rithms, a one-semester graduate course I taught at Cornell for three consec utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer science preparing for their PhD qualifying exams, and to introduce theory students to some advanced topics in the design and analysis of algorithms. The material is thus a mixture of core and advanced topics. At first I meant these notes to supplement and not supplant a textbook, but over the three years they gradually took on a life of their own. In addition to the notes, I depended heavily on the texts • A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms. Addison-Wesley, 1975. • M. R. Garey and D. S. Johnson, Computers and Intractibility: A Guide to the Theory of NP-Completeness. w. H. Freeman, 1979. • R. E. Tarjan, Data Structures and Network Algorithms. SIAM Regional Conference Series in Applied Mathematics 44, 1983. and still recommend them as excellent references.

Practical Analysis of Algorithms

Author : Dana Vrajitoru
Publisher : Springer
ISBN 13 : 3319098888
Total Pages : 466 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Practical Analysis of Algorithms by : Dana Vrajitoru

Download or read book Practical Analysis of Algorithms written by Dana Vrajitoru and published by Springer. This book was released on 2014-09-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the essential concepts of algorithm analysis required by core undergraduate and graduate computer science courses, in addition to providing a review of the fundamental mathematical notions necessary to understand these concepts. Features: includes numerous fully-worked examples and step-by-step proofs, assuming no strong mathematical background; describes the foundation of the analysis of algorithms theory in terms of the big-Oh, Omega, and Theta notations; examines recurrence relations; discusses the concepts of basic operation, traditional loop counting, and best case and worst case complexities; reviews various algorithms of a probabilistic nature, and uses elements of probability theory to compute the average complexity of algorithms such as Quicksort; introduces a variety of classical finite graph algorithms, together with an analysis of their complexity; provides an appendix on probability theory, reviewing the major definitions and theorems used in the book.

Exploratory Data Analysis with MATLAB

Author : Wendy L. Martinez
Publisher : CRC Press
ISBN 13 : 1315349841
Total Pages : 686 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Object-Oriented Analysis and Design

Author : Sarnath Ramnath
Publisher : Springer Science & Business Media
ISBN 13 : 1849965226
Total Pages : 440 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Object-Oriented Analysis and Design by : Sarnath Ramnath

Download or read book Object-Oriented Analysis and Design written by Sarnath Ramnath and published by Springer Science & Business Media. This book was released on 2010-12-06 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object-oriented analysis and design (OOAD) has over the years, become a vast field, encompassing such diverse topics as design process and principles, documentation tools, refactoring, and design and architectural patterns. For most students the learning experience is incomplete without implementation. This new textbook provides a comprehensive introduction to OOAD. The salient points of its coverage are: • A sound footing on object-oriented concepts such as classes, objects, interfaces, inheritance, polymorphism, dynamic linking, etc. • A good introduction to the stage of requirements analysis. • Use of UML to document user requirements and design. • An extensive treatment of the design process. • Coverage of implementation issues. • Appropriate use of design and architectural patterns. • Introduction to the art and craft of refactoring. • Pointers to resources that further the reader’s knowledge. All the main case-studies used for this book have been implemented by the authors using Java. The text is liberally peppered with snippets of code, which are short and fairly self-explanatory and easy to read. Familiarity with a Java-like syntax and a broad understanding of the structure of Java would be helpful in using the book to its full potential.

Logic for Computer Scientists

Author : Uwe Schöning
Publisher : Springer Science & Business Media
ISBN 13 : 0817647635
Total Pages : 173 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Logic for Computer Scientists by : Uwe Schöning

Download or read book Logic for Computer Scientists written by Uwe Schöning and published by Springer Science & Business Media. This book was released on 2009-11-03 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the notions and methods of formal logic from a computer science standpoint, covering propositional logic, predicate logic, and foundations of logic programming. The classic text is replete with illustrative examples and exercises. It presents applications and themes of computer science research such as resolution, automated deduction, and logic programming in a rigorous but readable way. The style and scope of the work, rounded out by the inclusion of exercises, make this an excellent textbook for an advanced undergraduate course in logic for computer scientists.

Computer Science

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309165636
Total Pages : 216 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Computer Science by : National Research Council

Download or read book Computer Science written by National Research Council and published by National Academies Press. This book was released on 2004-10-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation.

Probability and Statistics for Computer Scientists

Author : Michael Baron
Publisher : CRC Press
ISBN 13 : 1498760600
Total Pages : 475 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Probability and Statistics for Computer Scientists by : Michael Baron

Download or read book Probability and Statistics for Computer Scientists written by Michael Baron and published by CRC Press. This book was released on 2013-08-05 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make o

Basic Category Theory for Computer Scientists

Author : Benjamin C. Pierce
Publisher : MIT Press
ISBN 13 : 0262326450
Total Pages : 117 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Basic Category Theory for Computer Scientists by : Benjamin C. Pierce

Download or read book Basic Category Theory for Computer Scientists written by Benjamin C. Pierce and published by MIT Press. This book was released on 1991-08-07 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts. Contents Tutorial • Applications • Further Reading

The Design and Analysis of Computer Experiments

Author : Thomas J. Santner
Publisher : Springer
ISBN 13 : 1493988476
Total Pages : 436 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis The Design and Analysis of Computer Experiments by : Thomas J. Santner

Download or read book The Design and Analysis of Computer Experiments written by Thomas J. Santner and published by Springer. This book was released on 2019-01-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

Writing for Computer Science

Author : Justin Zobel
Publisher : Taylor & Francis
ISBN 13 : 9781852338022
Total Pages : 292 pages
Book Rating : 4.3/5 (38 download)

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Book Synopsis Writing for Computer Science by : Justin Zobel

Download or read book Writing for Computer Science written by Justin Zobel and published by Taylor & Francis. This book was released on 2004-06-03 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research

Mathematics for Computer Science

Author : Eric Lehman
Publisher :
ISBN 13 : 9789888407064
Total Pages : 988 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Mathematics for Computer Science by : Eric Lehman

Download or read book Mathematics for Computer Science written by Eric Lehman and published by . This book was released on 2017-03-08 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Relations and Graphs

Author : Gunther Schmidt
Publisher : Springer Science & Business Media
ISBN 13 : 3642779689
Total Pages : 312 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Relations and Graphs by : Gunther Schmidt

Download or read book Relations and Graphs written by Gunther Schmidt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Relational methods can be found at various places in computer science, notably in data base theory, relational semantics of concurrency, relationaltype theory, analysis of rewriting systems, and modern programming language design. In addition, they appear in algorithms analysis and in the bulk of discrete mathematics taught to computer scientists. This book is devoted to the background of these methods. It explains how to use relational and graph-theoretic methods systematically in computer science. A powerful formal framework of relational algebra is developed with respect to applications to a diverse range of problem areas. Results are first motivated by practical examples, often visualized by both Boolean 0-1-matrices and graphs, and then derived algebraically.

Things a Computer Scientist Rarely Talks about

Author : Donald Ervin Knuth
Publisher : Stanford Univ Center for the Study
ISBN 13 : 9781575863276
Total Pages : 257 pages
Book Rating : 4.8/5 (632 download)

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Book Synopsis Things a Computer Scientist Rarely Talks about by : Donald Ervin Knuth

Download or read book Things a Computer Scientist Rarely Talks about written by Donald Ervin Knuth and published by Stanford Univ Center for the Study. This book was released on 2001-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does a computer scientist understand infinity? What can probability theory teach us about free will? Can mathematical notions be used to enhance one's personal understanding of the Bible? Perhaps no one is more qualified to address these questions than Donald E. Knuth, whose massive contributions to computing have led others to nickname him "The Father of Computer Science"—and whose religious faith led him to understand a fascinating analysis of the Bible called the 3:16 project. In this series of six spirited, informal lectures, Knuth explores the relationships between his vocation and his faith, revealing the unique perspective that his work with computing has lent to his understanding of God. His starting point is the 3:16 project, an application of mathematical "random sampling" to the books of the Bible. The first lectures tell the story of the project's conception and execution, exploring its many dimensions of language translation, aesthetics, and theological history. Along the way, Knuth explains the many insights he gained from such interdisciplinary work. These theological musings culminate in a surprising final lecture tackling the ideas of infinity, free will, and some of the other big questions that lie at the juncture of theology and computation. Things a Computer Scientist Rarely Talks About, with its charming and user-friendly format—each lecture ends with a question and answer exchange, and the book itself contains more than 100 illustrations—is a readable and intriguing approach to a crucial topic, certain to edify both those who are serious and curious about their faiths and those who look at the science of computation and wonder what it might teach them about their spiritual world. Includes "Creativity, Spirituality, and Computer Science," a panel discussion featuring Harry Lewis, Guy L. Steele, Jr., Manuela Veloso, Donald E. Knuth, and Mitch Kapor.

Data Structures and Algorithm Analysis in C++, Third Edition

Author : Clifford A. Shaffer
Publisher : Courier Corporation
ISBN 13 : 0486172627
Total Pages : 626 pages
Book Rating : 4.4/5 (861 download)

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

Download or read book Data Structures and Algorithm Analysis in C++, Third Edition written by Clifford A. Shaffer and published by Courier Corporation. This book was released on 2012-07-26 with total page 626 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 C++ as the programming language.

Introduction to the Design and Analysis of Algorithms

Author : Anany Levitin
Publisher : Pearson Higher Ed
ISBN 13 : 0133001369
Total Pages : 592 pages
Book Rating : 4.1/5 (33 download)

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Book Synopsis Introduction to the Design and Analysis of Algorithms by : Anany Levitin

Download or read book Introduction to the Design and Analysis of Algorithms written by Anany Levitin and published by Pearson Higher Ed. This book was released on 2011-11-21 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.