Introduzione Alla Programmazione In Matlab

Autore: Angelo Morzenti
Editore: Società Editrice Esculapio
ISBN: 8874884621
Grandezza: 46,16 MB
Formato: PDF, Docs
Vista: 428
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MATLAB (abbreviazione di MATrix LABoratory) è uno strumento che nel corso degli anni ha esteso le sue funzionalità dal calcolo matriciale alle più generali elaborazioni numeriche in campo scientifico e tecnico. Esso fornisce comandi, funzionalità predefinite e un linguaggio di programmazione che ne fa un ambiente per lo sviluppo di applicazioni. Il linguaggio di programmazione offerto da MATLAB deve il suo successo alla sua specializzazione nell’ambito del calcolo numerico. Avendo un obiettivo più specifico di altri linguaggi, può offrire come costrutti linguistici operazioni molto potenti (ad esempio operazioni su intere matrici). I programmi di MATLAB vengono eseguiti mediante interpretazione: l’utente interagisce con l’interfaccia dell’interprete, cui può far valutare espressioni o eseguire istruzioni e script; ciò permette di evitare la tradizionale sequenza di operazioni tipica dei linguaggi compilati: scrittura, analisi sintattica e semantica, traduzione, collegamento ed esecuzione; ciò favorisce un approccio esplorativo che permette di passare velocemente dall’idea di una soluzione alla sua implementazione e convalida. I programmi MATLAB vengono quindi tradotti, all’atto dell’esecuzione, in un codice intermedio interpretato, diverso dal codice macchina direttamente eseguibile dall’hardware. Ciò permette di rendere i programmi MATLAB indipendenti dalla piattaforma e quindi portabili in tutti gli ambienti per i quali MATLAB è disponibile (attualmente questi includono Windows, Linux, Unix, Macintosh).

Istituzioni Di Ingegneria Aerospaziale

Autore: Giuseppe Quaranta
Editore:
ISBN: 9781307182651
Grandezza: 37,46 MB
Formato: PDF, ePub, Docs
Vista: 8579
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Numerical Mathematics

Autore: Alfio Quarteroni
Editore: Springer Science & Business Media
ISBN: 3540498095
Grandezza: 74,48 MB
Formato: PDF, Docs
Vista: 5370
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This book provides the mathematical foundations of numerical methods and demonstrates their performance on examples, exercises and real-life applications. This is done using the MATLAB software environment, which allows an easy implementation and testing of the algorithms for any specific class of problems. The book is addressed to students in Engineering, Mathematics, Physics and Computer Sciences. In the second edition of this extremely popular textbook on numerical analysis, the readability of pictures, tables and program headings has been improved. Several changes in the chapters on iterative methods and on polynomial approximation have also been

Modeling Time In Computing

Autore: Carlo A. Furia
Editore: Springer Science & Business Media
ISBN: 3642323316
Grandezza: 14,91 MB
Formato: PDF, Kindle
Vista: 7082
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Models that include a notion of time are ubiquitous in disciplines such as the natural sciences, engineering, philosophy, and linguistics, but in computing the abstractions provided by the traditional models are problematic and the discipline has spawned many novel models. This book is a systematic thorough presentation of the results of several decades of research on developing, analyzing, and applying time models to computing and engineering. After an opening motivation introducing the topics, structure and goals, the authors introduce the notions of formalism and model in general terms along with some of their fundamental classification criteria. In doing so they present the fundamentals of propositional and predicate logic, and essential issues that arise when modeling time across all types of system. Part I is a summary of the models that are traditional in engineering and the natural sciences, including fundamental computer science: dynamical systems and control theory; hardware design; and software algorithmic and complexity analysis. Part II covers advanced and specialized formalisms dealing with time modeling in heterogeneous software-intensive systems: formalisms that share finite state machines as common “ancestors”; Petri nets in many variants; notations based on mathematical logic, such as temporal logic; process algebras; and “dual-language approaches” combining two notations with different characteristics to model and verify complex systems, e.g., model-checking frameworks. Finally, the book concludes with summarizing remarks and hints towards future developments and open challenges. The presentation uses a rigorous, yet not overly technical, style, appropriate for readers with heterogeneous backgrounds, and each chapter is supplemented with detailed bibliographic remarks and carefully chosen exercises of varying difficulty and scope. The book is aimed at graduate students and researchers in computer science, while researchers and practitioners in other scientific and engineering disciplines interested in time modeling with a computational flavor will also find the book of value, and the comparative and conceptual approach makes this a valuable introduction for non-experts. The authors assume a basic knowledge of calculus, probability theory, algorithms, and programming, while a more advanced knowledge of automata, formal languages, and mathematical logic is useful.

Introduzione A Matlab

Autore: Delores M. Etter
Editore: Apogeo Editore
ISBN: 9788873038559
Grandezza: 63,63 MB
Formato: PDF
Vista: 9319
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Matlab Concetti E Progetti

Autore: Giovanni Naldi
Editore: Apogeo Editore
ISBN: 9788873038627
Grandezza: 28,42 MB
Formato: PDF, Kindle
Vista: 7715
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Matlab

Autore: Stormy Attaway
Editore: Butterworth-Heinemann
ISBN: 0128045418
Grandezza: 10,66 MB
Formato: PDF, ePub, Docs
Vista: 5250
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MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. Presents programming concepts and MATLAB built-in functions side-by-side Offers a systematic, step-by-step approach, building on concepts throughout the book and facilitating easier learning Includes sections on common pitfalls and programming guidelines to direct students toward best practices Combines basic programming concepts, built-in functions, and advanced topics for problem solving with MATLAB to make this book uniquely suitable for a wide range of courses teaching or using MATLAB across the curriculum

Communication Systems

Autore:
Editore:
ISBN: 0077417224
Grandezza: 53,90 MB
Formato: PDF, Mobi
Vista: 2252
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A Gentle Introduction To Stata Second Edition

Autore: Alan C. Acock
Editore: Stata Press
ISBN: 1597180432
Grandezza: 52,80 MB
Formato: PDF, ePub, Docs
Vista: 3682
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Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. New to the Third Edition A new chapter on the analysis of missing data and the use of multiple-imputation methods Extensive revision of the chapter on ANOVA Additional material on the application of power analysis The book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array of basic statistical tools, such as correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion. Rather than splitting these topics by their Stata implementation, the material on graphics and postestimation are woven into the text in a natural fashion. The author teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. Each chapter includes exercises and real data sets are used throughout.

The Mathematica Book Version 4

Autore: Stephen Wolfram
Editore: Cambridge University Press
ISBN: 9780521643146
Grandezza: 42,67 MB
Formato: PDF, Docs
Vista: 7670
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With over a million users around the world, the Mathematica software system created by Stephen Wolfram has defined the direction of technical computing for the past decade. The enhanced text and hypertext processing and state-of-the-art numerical computation features will ensure that Mathematica 4, takes scientific computing into the next century.The Mathematica Book continues to be the definitive reference guide to this revolutionary software package and is released in this new edition to coincide with the release of the new version of Mathematica.The Mathematica Book is a must-have purchase for anyone who wants to understand the opportunities in science, technology, business, and education made possible by Mathematica 4. This encompasses a broad audience of scientists and mathematicians; engineers; computer professionals; financial analysts; medical researchers; and students at high-school, college, and graduate levels.Written by the creator of the system, The Mathematica Book includes both a tutorial introduction and complete reference information, and contains comprehensive description of how to take advantage of Mathematica's ability to solve myriad technical computing problems and its powerful graphical and typesetting capabilities.New to this version:* Major efficiency enhancements in handling large volumes of numerical data.* Internal packed array technology to make repetitive operations on large numerical datasets radically more efficient in speed and memory.*Improved algebraic computation facilities, including support for assumptions within Simplify, and related functions, and specification of domains for variables, as well as full support of symbolic Laplace, Fourier, and Z transforms.* Additional Mathematica functions, including Dirac Delta, Stuve, Harmonic numbers, etc.* Enhanced graphics and sound capabilities, including faster graphic generation and additional format support for graphics and sound.* Full-function spell checking including special technical dictionaries.