Introduction To Computational Science

Author: Angela B. Shiflet
Publisher: Princeton University Press
ISBN: 9781400850556
Size: 15.89 MB
Format: PDF
View: 29

Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Computational Science Iccs 2009

Author: Gabrielle Allen
Publisher: Springer Science & Business Media
ISBN: 9783642019722
Size: 14.61 MB
Format: PDF, ePub
View: 82

The two-volume set LNCS 5544-5545 constitutes the refereed proceedings of the 9th International Conference on Computational Science, ICCS 2009, held in Baton Rouge, LA, USA in May 2008. The 60 revised papers of the main conference track presented together with the abstracts of 5 keynote talks and the 138 revised papers from 13 workshops were carefully reviewed and selected for inclusion in the three volumes. The general main track of ICSS 2009 was organized in about 20 parallel sessions addressing the following topics: e-Science Applications and Systems, Scheduling, Software Services and Tools, New Hardware and Its Applications, Computer Networks, Simulation of Complex Systems, Image Processing, Optimization Techniques, and Numerical Methods.

Stochastic Modelling For Systems Biology Second Edition

Author: Darren J. Wilkinson
Publisher: CRC Press
ISBN: 9781439837764
Size: 20.18 MB
Format: PDF, ePub, Mobi
View: 69

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. New in the Second Edition All examples have been updated to Systems Biology Markup Language Level 3 All code relating to simulation, analysis, and inference for stochastic kinetic models has been re-written and re-structured in a more modular way An ancillary website provides links, resources, errata, and up-to-date information on installation and use of the associated R package More background material on the theory of Markov processes and stochastic differential equations, providing more substance for mathematically inclined readers Discussion of some of the more advanced concepts relating to stochastic kinetic models, such as random time change representations, Kolmogorov equations, Fokker-Planck equations and the linear noise approximation Simple modelling of "extrinsic" and "intrinsic" noise An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional mathematical detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

Handbook Of Nanoscience Engineering And Technology Second Edition

Author: William A. Goddard III
Publisher: CRC Press
ISBN: 142000784X
Size: 17.38 MB
Format: PDF, ePub, Mobi
View: 98

The ability to study and manipulate matter at the nanoscale is the defining feature of 21st-century science. The first edition of the standard-setting Handbook of Nanoscience, Engineering, and Technology saw the field through its infancy. Reassembling the preeminent team of leading scientists and researchers from all areas of nanoscience and nanotechnology along with several new pioneers, this second edition will guide the field through its burgeoning adolescence. The phenomenal growth and staggering variety of applications of nanotechnology prevent any reference from providing a complete picture of the field. Instead, this edition surveys the most important areas, the most promising technologies, and the fastest-growing developments of current interest. In particular, it discusses fundamental theory of molecular and nanoelectronics, advanced fabrication technologies, modeling and simulation results, and novel molecular and nanoelectronic devices. New chapters in the Second Edition explore... The story of how the National Nanotechnology Initiative was born, where it is now, and where it is going Molecular computing and processing platforms Spin field effect transistors Moletronics and spintronics Nanoarchitectonics Molecular machines Magnetic manipulation applications in biomedical science Biological- and chemical-mediated self-assembly Nanomanufacturing Nanotextile technologies Nanofluidics for cell biology Carbon nanostructures and nanocomposites Accelerated design tools for nanophotonic devices Nanoparticles for drug delivery Remaining the definitive reference for nano researchers around the world, the Handbook of Nanoscience, Engineering, and Technology, Second Edition provides the signposts for blazers of the nano trail.

Brain Dynamics

Author: Hermann Haken
Publisher: Springer Science & Business Media
ISBN: 3540752382
Size: 14.56 MB
Format: PDF, ePub, Mobi
View: 47

This is an excellent introduction for graduate students and nonspecialists to the field of mathematical and computational neurosciences. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models. These allow for highly flexible modeling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. The more advanced pulse-averaged equations are discussed.

Programmieren Lernen Mit Python

Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 9783955618070
Size: 19.41 MB
Format: PDF, Docs
View: 87

Python ist eine moderne, interpretierte, interaktive und objektorientierte Skriptsprache, vielseitig einsetzbar und sehr beliebt. Mit mathematischen Vorkenntnissen ist Python leicht erlernbar und daher die ideale Sprache für den Einstieg in die Welt des Programmierens. Das Buch führt Sie Schritt für Schritt durch die Sprache, beginnend mit grundlegenden Programmierkonzepten, über Funktionen, Syntax und Semantik, Rekursion und Datenstrukturen bis hin zum objektorientierten Design. Zur aktualisierten Auflage Diese Auflage behandelt Python 3, geht dabei aber auch auf Unterschiede zu Python 2 ein. Außerdem wurde das Buch um die Themen Unicode, List und Dictionary Comprehensions, den Mengen-Typ Set, die String-Format-Methode und print als Funktion ergänzt. Jenseits reiner Theorie Jedes Kapitel enthält passende Übungen und Fallstudien, kurze Verständnistests und kleinere Projekte, an denen Sie die neu erlernten Programmierkonzepte gleich ausprobieren und festigen können. Auf diese Weise können Sie das Gelernte direkt anwenden und die jeweiligen Programmierkonzepte nachvollziehen. Lernen Sie Debugging-Techniken kennen Am Ende jedes Kapitels finden Sie einen Abschnitt zum Thema Debugging, der Techniken zum Aufspüren und Vermeiden von Bugs sowie Warnungen vor entsprechenden Stolpersteinen in Python enthält.