Artículos relacionados a Stochastic Numerical Methods: An Introduction for Students...
Sinopsis
Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes. The book aims at being rather general and is addressed at students of natural sciences (Physics, Chemistry, Mathematics, Biology, etc.) and Engineering, but also social sciences (Economy, Sociology, etc.) where some of the techniques have been used recently to numerically simulate different agent-based models. Examples included in the book range from phase-transitions and critical phenomena, including details of data analysis (extraction of critical exponents, finite-size effects, etc.), to population dynamics, interfacial growth, chemical reactions, etc. Program listings are integrated in the discussion of numerical algorithms to facilitate their understanding. From the contents: * Review of Probability Concepts * Monte Carlo Integration * Generation of Uniform and Non-uniform * Random Numbers: Non-correlated Values * Dynamical Methods * Applications to Statistical Mechanics * Introduction to Stochastic Processes * Numerical Simulation of Ordinary and * Partial Stochastic Differential Equations * Introduction to Master Equations * Numerical Simulations of Master Equations * Hybrid Monte Carlo * Generation of n-Dimensional Correlated * Gaussian Variables * Collective Algorithms for Spin Systems * Histogram Extrapolation * Multicanonical Simulations
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Raul Toral is head of the department of Complex Systems at IFISC (Palma de Mallorca, Spain). He obtained his academic degrees from Barcelona university (Spain), spent two years at THE Physics Department of Edinburgh University (UK), and two more years at Lehigh University (Pennsylvania, USA), before joining the University of Balearic Islands where he has been a full professor since 1994. Prof. Toral has authored 200 scientific publications. He was the director of the Physbio International Summer School on Stochastic Processes in Biology held in St. Etienne de Tinnee (France) in 2006, and a member of the editorial board of Fluctuations and Noise Letters (2005-2007), as well as the organizer of several conferences devoted to basic issues and applications of Nonlinear and Statistical Physics. Pere Colet is Research Professor at IFISC (CSIC-UIB). He obtained his M.Sc. degree in physics from Universitat de Barcelona (1987) and his Ph. D. also in Physics from Universitat de les Illes Balears (1991), Spain. He was a postdoctoral Fulbright fellow at the School of Physics of the Georgia Institute of Tecnology. In May 1995, he joined the Spanish Consejo Superior de Investigaciones Cientificas. He has co-authored over 100 papers in ISI journals as well as 35 other scientific publications. His research interests include fluctuations and nonlinear dynamics of semiconductor lasers, synchronization of chaotic lasers and encoded communications, synchronization of coupled nonlinear oscillators, pattern formation, and quantum fluctuations in nonlinear optical cavities and dynamics of dissipative solitons.
De la contraportada
Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes. The book aims at being rather general and is addressed at students of natural sciences (Physics, Chemistry, Mathematics, Biology, etc.) and Engineering, but also social sciences (Economy, Sociology, etc.) where some of the techniques have been used recently to numerically simulate different agent-based models. Examples included in the book range from phase-transitions and critical phenomena, including details of data analysis (extraction of critical exponents, finite-size effects, etc.), to population dynamics, interfacial growth, chemical reactions, etc. Program listings are integrated
in the discussion of numerical algorithms to facilitate their understanding.
From the contents:
&; Review of Probability Concepts
&; Monte Carlo Integration
&; Generation of Uniform and Non-uniform Random Numbers: Non-correlated Values
&; Dynamical Methods
&; Applications to Statistical Mechanics
&; Introduction to Stochastic Processes
&; Numerical Simulation of Ordinary and Partial Stochastic Diff erential Equations
&;Introduction to Master Equations
&; Numerical Simulations of Master Equations
&; Hybrid Monte Carlo
&; Generation of n-Dimensional Correlated Gaussian Variables
&; Collective Algorithms for Spin Systems
&; Histogram Extrapolation
&; Multicanonical Simulations
"Sobre este título" puede pertenecer a otra edición de este libro.
Resultados de la búsqueda para Stochastic Numerical Methods: An Introduction for Students...
Imagen del vendedor
Stochastic Numerical Methods: An Introduction for Students and Scientists
Publicado por
Wiley-VCH Verlag Gmbh & Co. Kgaa, 2014
ISBN 10: 3527411496
ISBN 13: 9783527411498
Antiguo o usado
Taschenbuch
Librería: CSG Onlinebuch GMBH, Darmstadt, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Wie neu. Gebraucht - Wie neu Gebrauchtexemplar aus Rücksendung mit kleinem Fehler aus Versand. Zustand fast wie neu. Tagesaktueller, sicherer und weltweiter Versand. Wir liefern grundsätzlich mit beigelegter Rechnung. -Dieses ganzheitliches und verständliche Lehrbuch bietet eine ausgewogene Darstellung mathematischer Hintergründe und numerischer Methoden zur Analyse stochastischer Dynamik und Prozesse und enthält Zusatzmaterialien zu komplexeren Themen, praktische Übungen. Nº de ref. del artículo: 40338
Cantidad disponible: 1 disponibles