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008 171109s2017 gw |||| o |||| 0|eng
010 _a 2019765404
020 _a9783319622255
024 7 _a10.1007/978-3-319-62226-2
_2doi
035 _a(DE-He213)978-3-319-62226-2
040 _aDLC
_beng
_epn
_erda
_cDLC
050 _aQA274. B17 2017
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2bicssc
072 7 _aPBT
_2thema
072 7 _aPBWL
_2thema
082 0 4 _a519.2
_223
100 1 _aBaldi, Paolo,
_eauthor.
245 1 0 _aStochastic Calculus :
_bAn Introduction Through Theory and Exercises /
_cby Paolo Baldi.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _axiv, 627 pages
_b27 illustrations, 2 illustrations in color.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUniversitext,
_x0172-5939
505 0 _a1 Elements of probability -- 2 Stochastic processes -- 3 Brownian motion -- 4 Conditional probability -- 5 Martingales -- 6 Markov Processes -- 7 The stochastic integral -- 8 Stochastic calculus -- 9 Stochastic Differential Equations -- 10 PDE problems and diffusions -- 11 Simulation -- 12 Back to stochastic calculus -- 13 An application: finance -- Solutions of the exercises -- References -- Index.
520 _aThis book provides a comprehensive introduction to the theory of stochastic calculus and some of its applications. It is the only textbook on the subject to include more than two hundred exercises with complete solutions. After explaining the basic elements of probability, the author introduces more advanced topics such as Brownian motion, martingales and Markov processes. The core of the book covers stochastic calculus, including stochastic differential equations, the relationship to partial differential equations, numerical methods and simulation, as well as applications of stochastic processes to finance. The final chapter provides detailed solutions to all exercises, in some cases presenting various solution techniques together with a discussion of advantages and drawbacks of the methods used. Stochastic Calculus will be particularly useful to advanced undergraduate and graduate students wishing to acquire a solid understanding of the subject through the theory and exercises. Including full mathematical statements and rigorous proofs, this book is completely self-contained and suitable for lecture courses as well as self-study.
588 _aDescription based on publisher-supplied MARC data.
650 0 _aProbabilities.
650 1 4 _aProbability Theory and Stochastic Processes.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M27004
776 0 8 _iPrint version:
_tStochastic calculus : an introduction through theory and exercises
_z9783319622255
_w(DLC) 2017948389
776 0 8 _iPrinted edition:
_z9783319622255
776 0 8 _iPrinted edition:
_z9783319622279
830 0 _aUniversitext,
_x0172-5939
906 _a0
_bibc
_corigres
_du
_encip
_f20
_gy-gencatlg
942 _2lcc
_cBK