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Optics. Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple®, Moeller

Optics. Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple®

Автор: Moeller
Название:  Optics. Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple®   (Оптика на компьютере с использованием Maple , MathCad, MatLab, Mathematica)
Издательство: Springer
Классификация:
Электричество, магнетизм и электромагнетизм
Прикладная физика и специальные разделы
Электронная техника

ISBN: 0387261680
ISBN-13(EAN): 9780387261683
ISBN: 0-387-26168-0
ISBN-13(EAN): 978-0-387-26168-3
Обложка/Формат: Hardcover
Страницы: 443
Вес: 0.96 кг.
Дата издания: 2007
Серия: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple®
Язык: ENG
Размер: 23.37 x 17.78 x 2.79 cm
Поставляется из: Германии
Описание: This new edition is intended for a one semester course in optics for juniors and seniors in science and engineering. It uses scripts from Maple, MathCad, Mathematica, and MATLAB to provide a simulated laboratory where students can learn by exploration and discovery instead of passive absorption.The text covers all the standard topics of a traditional optics course, including: geometrical optics and aberration, interference and diffraction, coherence, Maxwells equations, wave guides and propagating modes, blackbody radiation, atomic emission and lasers, optical properties of materials, Fourier transforms and FT spectroscopy, image formation, and holography. It contains step by step derivations of all basic formulas in geometrical, wave and Fourier optics.The basic text is supplemented by over 170 files in Maple, MathCad, Mathematica, and MATLAB (many of which are in the text; al scripts are included on the CD), each suggesting programs to solve a particular problem, and each linked to a topic in or application of optics. The computer files are dynamic, allowing the reader to see instantly the effects of changing parameters in the equations. Students are thus encouraged to ask What if? questions to asses the physical implications of the formulas. The discussion of Fourier transforms in particular is enhanced by the availability of numerical methods.The book is written for the study of particular projects but can easily be adapted to other situations. The threefold arrangement of text, applications, and files makes the book suitable for self-learning by scientists or engineers who would like to refresh their knowledge of optics.In the classroom, the Maple, MathCad, Mathematica, and MATLAB scripts can serve as starting points for homework; outside, they can help find solutions to complex problems in engineering applications.Some praise for the previous edition:OPTICS AND PHOTONICS NEWS [OCTOBER 2004]This book and its companion CD cover geometrical optics, electromagnetic theory, interference, diffraction and coherence theory. Chapters on optical constants, blackbody radiation, emission and absorption, lasers, holography and Fourier transform spectroscopy broaden its scope. The packet contains over 170 MathCAD files linked to specific topics and applications. … [T]he main virtues of the book are the excellent photographs of basic optical phenomena. … The index is comprehensive. … [The book] will certainly be helpful to … students in an introductory optics course.THE PHYSICIST (March/April 2004)The author has developed a suite of model programs covering the whole spectrum of optics from classical geometric ray to wave and modern optics. Illustrative resonator and waveguide modes are also part of the program mix as well as introductory laser theory. In addition to an optics course, this book would be useful in a 3rd or 4th year electromagnetism course as well as an introduction to lasers and resonators. There are certainly more topics in this text than could possibly be covered in the typical 30 hour one semester course. ... All formulas and diagrams are provided in Adobe .pdf files as well for transcription into other software suites or inclusion in notes. This book is a comprehensive optics text that has been written in a mode to encourage students to run the models, do the calculations and generate their own illustrations. ... The book would serve as an excellent text for undergraduate use and reference for laboratory simulation experiments.
Дополнительное описание: Main Subject: Physics
Edition: 2nd ed.
Bibliography: XVI, 454 p. 308 illus. With CD-ROM.
Subtitle: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple®
Subject1: P26001 Electromagnetism, Optics and



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Optics / Learning by Computing, with Examples Using MathCad

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Описание: Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications is a basic treatise on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, illustrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems which can be used to support critical control applications.This volume serves as a textbook for advanced level courses on the topic. Each chapter provides basic concepts, which are followed by algorithms that are illustrated with concrete examples, figures and tables. Exercises are included with each chapter and solutions are given at the end of the book. The book also provides an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.
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Описание: This book provides a good introduction to the classical elementary number theory and the modern algorithmic number theory, and their applications in computing and information technology, including computer systems design, cryptography and network security. In this second edition proofs of many theorems have been provided, further additions and corrections were made.
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Описание: In den letzten Jahren sind vor allem im Konvergenzbereich der Datentechnik und Telekommunikation neue Techniken entstanden, und damit auch eine Vielzahl neuer FachausdrГјcke.Mit der vorliegenden CD, basierend auf der zweiten erweiterten und neubearbeiteten Auflage des bekannten Buches von FERRETTI, steht ein ausfГјhrlicher elektronischer Wegweiser zur VerfГјgung, um sich im Gewirr der deutschen und englischen Fachtermini zurechtzufinden: 139.000 Begriffe aus allen Gebieten der Elektronik, Informationstechnik (Informatik) und Telekommunikationstechnik, sowie Hauptbegriffe der angrenzenden Fachgebiete und der Grundlagenwissenschaften (insgesamt 97 Fachgebiete).In the last few years new technologies have come up, especially in the area of convergence of computing and communications, accompanied by a lot of new technical terms. This electronic dictionary based on the second expanded and updated edition of the well-known printed FERRETTI offers a valuable guide to navigate through the entanglement of German and English terminology: 139.000 entries taken from all specialities of Electronics, Information Technology (Computer Science) and Communication Technology, with the basic terms of contiguous fields and aof basic sciences (in total 97 special fields).
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ISBN: 3540431500 ISBN-13(EAN): 9783540431503
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ISBN: 3540002464 ISBN-13(EAN): 9783540002468
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Описание: The vigorous development of the internet and other information technologies have significantly expanded the amount and variety of sources of information available on decision making. This book presents the current trends of soft computing applications to the fields of measurements and information acquisition. Main topics are the production and presentation of information including multimedia, virtual environment, and computer animation as well as the improvement of decisions made on the basis of this information in various applications ranging from engineering to business. In order to make high-quality decisions, one has to fuse information of different kinds from a variety of sources with differing degrees of reliability and uncertainty. The necessity to use intelligent methodologies in the analysis of such systems is demonstrated as well as the inspiring relation of computational intelligence to its natural counterpart. This book includes several contributions demonstrating a further movement towards the interdisciplinary collaboration of the biological and computer sciences with examples from biology and robotics.
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