Basic Concepts in Computational Physics - 15 Angebote vergleichen

Lieferung aus: Deutschland, Versandkostenfrei.
Basic Concepts in Computational Physics: 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. Englisch, Ebook.

Lieferung aus: Italien, Lagernd, zzgl. Versandkosten.
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. eBook.

Lieferung aus: Deutschland, Versandkostenfrei.
Basic Concepts in Computational Physics: 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. Englisch, Buch.

Lieferung aus: Deutschland, Versandkosten nach: Schweiz.
Von Händler/Antiquariat, AHA-BUCH GmbH, [4009276].
Neuware - 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage. 30.03.2016, Buch, Neuware, 241x160x28 mm, 805g, 428, Internationaler Versand, Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten).

Lieferung aus: Deutschland, E-Book zum Download, Versandkostenfrei.
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., Kindle Edition, Ausgabe: 2, Format: Kindle eBook, Label: Springer, Springer, Produktgruppe: eBooks, Publiziert: 2016-03-21, Freigegeben: 2016-03-21, Studio: Springer.

Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Versandgebiet: DOM.
Von Händler/Antiquariat, GreatBookPrices-, MD, Columbia, [RE:5].
100% Money Back Guarantee. Brand New, Perfect Condition. We offer expedited shipping to all US locations. Over 3, 000, 000 happy customers. Hard cover, 2nd 2016 ed.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Basic Concepts in Computational Physics ab 59.99 EURO 2nd ed. 2016.