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Viser: Stochastic Partial Differential Equations
Stochastic Partial Differential Equations Vital Source e-bog
Sergey V. Lototsky
(2017)
Stochastic Partial Differential Equations Vital Source e-bog
Sergey V. Lototsky og Boris L. Rozovsky
(2017)
Stochastic Partial Differential Equations Vital Source e-bog
Sergey V. Lototsky og Boris L. Rozovsky
(2017)
Stochastic Partial Differential Equations
Sergey V. Lototsky og Boris L. Rozovsky
(2017)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Juli 2017)
- ISBN: 9783319586472
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Detaljer om varen
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juli 2017)
- Forfattere: Sergey V. Lototsky og Boris L. Rozovsky
- ISBN: 9783319586472R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juli 2017)
- Forfattere: Sergey V. Lototsky og Boris L. Rozovsky
- ISBN: 9783319586472R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback
- Udgiver: Springer International Publishing AG (Juli 2017)
- Forfattere: Sergey V. Lototsky og Boris L. Rozovsky
- ISBN: 9783319586458
Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs. It covers the main types of equations (elliptic, hyperbolic and parabolic) and discusses different types of random forcing. The objective is to give the reader the necessary tools to understand the proofs of existing theorems about SPDEs (from other sources) and perhaps even to formulate and prove a few new ones. Most of the material could be covered in about 40 hours of lectures, as long as not too much time is spent on the general discussion of stochastic analysis in infinite dimensions.
As the subject of SPDEs is currently making the transition from the research level to that of a graduate or even undergraduate course, the book attempts to present enough exercise material to fill potential exams and homework assignments. Exercises appear throughout and are usually directly connected to the material discussed at a particular place in the text. The questions usually ask to verify something, so that the reader already knows the answer and, if pressed for time, can move on. Accordingly, no solutions are provided, but there are often hints on how to proceed.
The book will be of interest to everybody working in the area of stochastic analysis, from beginning graduate students to experts in the field.