Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (August 2024)
Genre:	Naturwissensch., Medizin, Technik
	Chemie / chemistry / Computational Chemistry & Molecular Modeling / Computational Chemistry u. Molecular Modeling / Materials science / Materialwissenschaften / Materialwissenschaften / Theorie, Modellierung u. Simulation / Mathematical & Computational Physics / Mathematical Modeling / Mathematics / Mathematik / Mathematische Modellierung / Mathematische Physik / Physics / Physik / Simulation / Theory, Modeling & Simulation
ISBN:	9783527414147
EAN-Code:	9783527414147
Verlag:	Wiley-Vch
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 244 mm / B 170 mm / D
Seiten:	496
Illustration:	schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

Reviews of the first edition (2009): »Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]« Zentralblatt MATH, European Mathematical Society, 2009 »This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous.« SIAM Society of Industrial and Applied Mathematics, USA, 2011 This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? What kind of mathematical problems appear and how can these be efficiently solved using professional free of charge open source software? The book addresses undergraduates and practitioners alike. Although only basic knowledge of calculus and linear algebra is required, the most important mathematical structures are discussed in sufficient detail, ranging from statistical models to partial differential equations and accompanied by examples from biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. About 200 pages of additional material include a unique chapter on virtualization, Crash Courses on the data analysis and programming languages R and Python and on the computer algebra language Maxima, many new methods and examples scattered throughout the book and an update of all software-related procedures and a comprehensive book software providing templates for typical modeling tasks in thousands of code lines. The book software includes GmLinux, an operating system specifically designed for this book providing preconfigured and ready-to-use installations of OpenFOAM, Salome, FreeCAD/CfdOF workbench, ParaView, R, Maxima/wxMaxima, Python, Rstudio, Quarto/Markdown and other free of charge open source software used in the book.