/ | Basic Concepts in Computational Physics | Springer | Softcover reprint of the original 2nd ed. 2016 | 2018
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Lieferung aus: Deutschland, zzgl. Versandkosten.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
This new edition is a concise introduction to the basic methods of computational physics. Readers will discover the benefits of numerical methods for solving complex mathematical problems and for the direct simulation of physical processes. The book is divided into two main parts: Deterministic methods and stochastic methods in computational physics. Based on concrete problems, the first part discusses numerical differentiation and integration, as well as the treatment of ordinary differential equations. This is extended by a brief introduction to the numerics of partial differential equations. The second part deals with the generation of random numbers, summarizes the basics of stochastics, and subsequently introduces Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochastic optimization. All this is again motivated and augmented by applications from physics. In addition, the book offers a number of appendices to provide the reader with information on topics not discussed in the main text. Numerous problems with worked-out solutions, chapter introductions and summaries, together with a clear and application-oriented style support the reader. Ready to use C++ codes are provided online. xvi, 409 S. XVI, 409 p. 235 mm Versandfertig in 6-10 Tagen, Softcover, Neuware, Offene Rechnung (Vorkasse vorbehalten).

This new edition is a concise introduction to the basic methods of computational physics. Readers will discover the benefits of numerical methods for solving complex mathematical problems and for the direct simulation of physical processes. The book is divided into two main parts: Deterministic methods and stochastic methods in computational physics. Based on concrete problems, the first part discusses numerical differentiation and integration, as well as the treatment of ordinary differential equations. This is extended by a brief introduction to the numerics of partial differential equations. The second part deals with the generation of random numbers, summarizes the basics of stochastics, and subsequently introduces Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochastic optimization. All this is again motivated and augmented by applications from physics. In addition, the book offers a number of appendices to provide the reader with information on topics not discussed in the main text. Numerous problems with worked-out solutions, chapter introductions and summaries, together with a clear and application-oriented style support the reader. Ready to use C++ codes are provided online.

Lieferung aus: Deutschland, zzgl. Versandkosten.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Now with ready to use C++ program code available online Contains heavily expanded chapters on molecular dynamics, PDEs, random generators, Monte Carlo applicati, 2018, Kartoniert / Broschiert, Neuware, Taschenbuch, 652g, 2. Auflage, 409, Banküberweisung, PayPal.

Basic Concepts in Computational Physics ab 47.99 EURO Softcover reprint of the original 2nd ed. 2016.

Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Versandgebiet: DOM.
Von Händler/Antiquariat, booksXpress, NJ, Bayonne, [RE:3].
Trade paperback, 2nd Softcover Reprint of the Original 2nd 2016 ed.

Lieferung aus: Deutschland, Versand in 10-14 Tagen.
Buch, Softcover, Softcover reprint of the original 2nd ed. 2016.

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Basic-Concepts-in-Computational-Physics~~Benjamin-A-Stickler, Basic Concepts in Computational Physics, Paperback.