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Description du livre Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT23-214429
Description du livre Etat : New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.This item may ship from the US or other locations in India depending on your location and availability. N° de réf. du vendeur ABTR-92885
Description du livre Etat : New. pp. 409. N° de réf. du vendeur 26375076174
Description du livre Etat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. We Ship to PO BOX Location also. N° de réf. du vendeur ABRR-92885
Description du livre Hardcover. Etat : new. N° de réf. du vendeur 9783319272634
Description du livre Etat : New. pp. 409. N° de réf. du vendeur 372017809
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar3113020092239
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9783319272634_lsuk
Description du livre Etat : New. N° de réf. du vendeur I-9783319272634
Description du livre Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition is a concise introduction to the basic methods of computational physics. Readerswill discover the benefits of numerical methods for solving complex mathematical problems and for thedirect simulation of physical processes. The book is divided into two main parts: Deterministic methods and stochastic methods in computationalphysics. 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 thenumerics 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. Specificemphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochasticoptimization. All this is again motivated and augmented by applications from physics. In addition, the bookoffers 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 clearand application-oriented style support the reader. Ready to use C++ codes are provided online. 428 pp. Englisch. N° de réf. du vendeur 9783319272634