Lord gabriel (25 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

hardcover. Zustand: Good. P. F. Collier & Son Publishers January 1968 Foxing to head edge, otherwise clean. Secure binding. Some indentation markings to boards.

Zustand: New. pp. 240.

Hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Paperback. Zustand: Brand New. 240 pages. 8.50x5.25x0.75 inches. In Stock.

Paperback. Zustand: Good. This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic differential equations, and offers graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. Coverage includes traditional stochastic ODEs with white noise forcing, strong and weak approximation, and the multi-level Monte Carlo method. Later chapters apply the theory of random fields to the numerical solution of elliptic PDEs with correlated random data, discuss the Monte Carlo method, and introduce stochastic Galerkin finite-element methods. Finally, stochastic parabolic PDEs are developed. Assuming little previous exposure to probability and statistics, theory is developed in tandem with state-of the art computational methods through worked examples, exercises, theorems and proofs. The set of MATLAB codes included (and downloadable) allows readers to perform computations themselves and solve the test problems discussed. Practical examples are drawn from finance, mathematical biology, neuroscience, fluid flow modeling and materials science.…

PAP. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Excellent softcover edition. Advance uncorrected proof, review copy. 317p. Jack McCain, forensic examiner gets involved with anthrax murders.

Zustand: New. In English.

Paperback. Zustand: Brand New. 503 pages. 9.75x7.00x1.00 inches. In Stock.

Zustand: New. Explores realistic applications from a variety of disciplines, including biological, chemical, physical, engineering, and financial examplesPresents a completely new treatment of modeling with stochastic differential equations, and expanded.

Taschenbuch. Zustand: Neu. Neuware - An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semester or two-semester course in stochastic processes for students familiar with elementary probability theory and calculus. The objectives are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide an integrated treatment of theory, applications and practical implementation. A well-regarded resource for many years, the text is an ideal foundation for a broad range of students.…

Zustand: New. This book offers a practical presentation of stochastic partial differential equations arising in physical applications and their numerical approximation. Series: Cambridge Texts in Applied Mathematics. Num Pages: 520 pages, 107 b/w illus. 16 colour illus. 222 exercises. BIC Classification: PBKJ; PBWL. Category: (U) Tertiary Education (US: College). Dimension: 248 x 178 x 23. Weight in Grams: 1024. . 2014. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Zustand: Brand New. 5th edition. 600 pages. 9.00x6.00x9.02 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. This book offers a practical presentation of stochastic partial differential equations arising in physical applications and their numerical approximation. Series: Cambridge Texts in Applied Mathematics. Num Pages: 516 pages, 107 b/w illus. 16 colour illus. 222 exercises. BIC Classification: PBKJ; PBWL. Category: (U) Tertiary Education (US: College). Dimension: 252 x 171 x 33. Weight in Grams: 1006. . 2014. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 503 pages. 10.00x7.25x1.00 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic differential equations, and offers graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. Coverage includes traditional stochastic ODEs with white noise forcing, strong and weak approximation, and the multi-level Monte Carlo method. Later chapters apply the theory of random fields to the numerical solution of elliptic PDEs with correlated random data, discuss the Monte Carlo method, and introduce stochastic Galerkin finite-element methods. Finally, stochastic parabolic PDEs are developed. Assuming little previous exposure to probability and statistics, theory is developed in tandem with state-of-the-art computational methods through worked examples, exercises, theorems and proofs. The set of MATLAB® codes included (and downloadable) allows readers to perform computations themselves and solve the test problems discussed. Practical examples are drawn from finance, mathematical biology, neuroscience, fluid flow modelling and materials science.…