a survey of computational physics introductory computational science

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A Survey Of Computational Physics

Author : Rubin H. Landau
ISBN : 9781400841189
Genre : Science
File Size : 21. 80 MB
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Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's First Course in Scientific Computing and a follow-up to Landau and Páez's Computational Physics, this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics. By treating science, applied mathematics, and computer science together, the book reveals how this knowledge base can be applied to a wider range of real-world problems than computational physics texts normally address. Designed for a one- or two-semester course, A Survey of Computational Physics will also interest anyone who wants a reference on or practical experience in the basics of computational physics. Accessible to advanced undergraduates Real-world problem-solving approach Java codes and applets integrated with text Companion Web site includes videos of lectures

Technological And Social Environments For Interactive Learning

Author : Jelena Jovanović
ISBN : 9781932886733
Genre : Education
File Size : 29. 88 MB
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Technology Enhanced Learning (TEL) is a very broad and increasingly mature research field. It encompasses a wide variety of research topics, ranging from the study of different pedagogical approaches and teaching/learning strategies and techniques, to the application of advanced technologies in educational settings such as the use of different kinds of mobile devices, sensors and sensor networks to provide the technical foundation for context-aware, ubiquitous learning. The TEL community has also been exploring the use of artificial intelligence tools and techniques for the development of intelligent learning environments capable of adapting to learners’ needs and preferences and providing learners with personalized learning experience. Recognizing the potential of online social networks, social media, and web-based social software tools as learning platforms for online education, the TEL community has devoted significant time and effort into researching how these popular technologies could be combined with appropriate pedagogical approaches to make learning experience more engaging, satisfying, and successful. Among the most important results of these research endeavors are personal learning environments that allow learners to create mash-ups of diverse social software tools based on their own needs and preferences as well as to create and maintain their online learning networks. Undeniably, technological advancement is making education more accessible to an increasing number of people worldwide. To fully exploit the huge benefit the technology is offering, the TEL community is exploring effective approaches for adapting learning resources to address language, generation, and cultural specificities. Aiming to make learning accessible to all, the community has also focused on the development of solutions for learners with special needs. Finally, it should be noted that all the above mentioned research efforts of the TEL community are finding their applications in different learning contexts and domains, including formal education and informal learning, as well as workplace learning in small, medium, and large organizations. Since the scope of TEL research is constantly evolving, the above given overview of the current research efforts does not aim to be exhaustive by any means. Instead, its purpose is to give some insights into the breadth of research topics and challenges that this edited book aims to cover. The book comprises 14 chapters, which are topically organized into several sections. However, this division of chapters into sections is not strictly definitive as each of the chapters itself presents a comprehensive research work that often spans across diverse TEL areas and thus could be categorized into more than one section of the book.

An Advanced Course In Computational Nuclear Physics

Author : Morten Hjorth-Jensen
ISBN : 9783319533360
Genre : Science
File Size : 61. 11 MB
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This graduate-level text collects and synthesizes a series of ten lectures on the nuclear quantum many-body problem. Starting from our current understanding of the underlying forces, it presents recent advances within the field of lattice quantum chromodynamics before going on to discuss effective field theories, central many-body methods like Monte Carlo methods, coupled cluster theories, the similarity renormalization group approach, Green’s function methods and large-scale diagonalization approaches. Algorithmic and computational advances show particular promise for breakthroughs in predictive power, including proper error estimates, a better understanding of the underlying effective degrees of freedom and of the respective forces at play. Enabled by recent improvements in theoretical, experimental and numerical techniques, the state-of-the art applications considered in this volume span the entire range, from our smallest components – quarks and gluons as the mediators of the strong force – to the computation of the equation of state for neutron star matter. The lectures presented provide an in-depth exposition of the underlying theoretical and algorithmic approaches as well details of the numerical implementation of the methods discussed. Several also include links to numerical software and benchmark calculations, which readers can use to develop their own programs for tackling challenging nuclear many-body problems.

Wissenschaftliches Rechnen Mit Matlab

Author : Alfio Quarteroni
ISBN : 9783540293071
Genre : Mathematics
File Size : 75. 57 MB
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Aus den Rezensionen der englischen Auflage: Dieses Lehrbuch ist eine Einführung in das Wissenschaftliche Rechnen und diskutiert Algorithmen und deren mathematischen Hintergrund. Angesprochen werden im Detail nichtlineare Gleichungen, Approximationsverfahren, numerische Integration und Differentiation, numerische Lineare Algebra, gewöhnliche Differentialgleichungen und Randwertprobleme. Zu den einzelnen Themen werden viele Beispiele und Übungsaufgaben sowie deren Lösung präsentiert, die durchweg in MATLAB formuliert sind. Der Leser findet daher nicht nur die graue Theorie sondern auch deren Umsetzung in numerischen, in MATLAB formulierten Code. MATLAB select 2003, Issue 2, p. 50. [Die Autoren] haben ein ausgezeichnetes Werk vorgelegt, das MATLAB vorstellt und eine sehr nützliche Sammlung von MATLAB Funktionen für die Lösung fortgeschrittener mathematischer und naturwissenschaftlicher Probleme bietet. [...] Die Präsentation des Stoffs ist durchgängig gut und leicht verständlich und beinhaltet Lösungen für die Übungen am Ende jedes Kapitels. Als exzellenter Neuzugang für Universitätsbibliotheken- und Buchhandlungen wird dieses Buch sowohl beim Selbststudium als auch als Ergänzung zu anderen MATLAB-basierten Büchern von großem Nutzen sein. Alles in allem: Sehr empfehlenswert. Für Studenten im Erstsemester wie für Experten gleichermassen. S.T. Karris, University of California, Berkeley, Choice 2003.

The Oxford Handbook Of Computational Economics And Finance

Author : Shu-Heng Chen
ISBN : 9780199844371
Genre : Business & Economics
File Size : 31. 30 MB
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The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Physik Der Selbstorganisation Und Evolution

Author : Werner Ebeling
ISBN : CHI:44562405
Genre : Biophysics
File Size : 85. 94 MB
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Physik Per Computer

Author : Wolfgang Kinzel
ISBN : 3827400201
Genre : Mathematical physics
File Size : 48. 68 MB
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Das Gebiet Computational Physics gewinnt zunehmend an Bedeutung - auch im Physikstudium. Anhand von vierzig Beispielen aus verschiedenen Bereichen der Physik zeigen die Autoren, wie physikalische Modelle numerisch untersucht werden kAnnen. Schritt fA1/4r Schritt werden Algorithmen formuliert und Programme entwickelt, um mit ihrer Hilfe das jeweilige physikalische Problem zu "verstehen" und zu lAsen. Die Autoren behandeln Modelle aus der klassischen Physik und aus der aktuellen physikalischen Forschung; als Programmiersprachen verwenden sie Mathematica A(R) und C. Die beiliegende Diskette enthAlt alle Programme - fA1/4r den PC unter DOS auch als ausfA1/4hrbaren Code.

Choice

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ISBN : UCSC:32106018044344
Genre : Academic libraries
File Size : 80. 60 MB
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Einf Hrung In Python

Author : Mark Lutz
ISBN : 9783897214880
Genre : Python (Computer program language)
File Size : 65. 45 MB
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Numerische Simulation In Der Molek Ldynamik

Author : Michael Griebel
ISBN : 9783642187797
Genre : Mathematics
File Size : 53. 16 MB
Format : PDF
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Das Buch behandelt Methoden des wissenschaftlichen Rechnens in der Moleküldynamik, einem Bereich, der in vielen Anwendungen der Chemie, der Biowissenschaften, der Materialwissenschaften, insbesondere der Nanotechnologie, sowie der Astrophysik eine wichtige Rolle spielt. Es führt in die wichtigsten Simulationstechniken zur numerischen Behandlung der Newtonschen Bewegungsgleichungen ein. Der Schwerpunkt liegt hierbei auf der schnellen Auswertung kurz- und langreichweitiger Kräfte mittels Linked Cell-, P$/\3$M-, Baum- und Multipol-Verfahren, sowie deren paralleler Implementierung und Lastbalancierung auf Rechensystemen mit verteiltem Speicher. Die einzelnen Kapitel beinhalten darüberhinaus detailierte Hinweise, um die Verfahren Schritt für Schritt in ein Programmpaket umzusetzen. In zahlreichen farbigen Abbildungen werden Simulationsergebnisse für eine Reihe von Anwendungen präsentiert.

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