Chapter: Simulation of stochastic processes and applications

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Home > Foundations of Computational Mathematics > Simulation of stochastic processes and applications

Foundations of Computational Mathematics |

Ronald Devore; Arieh Iserles; Endre Süli

Cambridge University Press

Foundations of Computational Mathematics

Simulation of stochastic processes and applications

Chapter Info

Authors

D. Talay

ARI Id

1667158996314_9904550

Access

Not Available Free

Pages

345-360

Chapter URL

https://www.cambridge.org/core/books/foundations-of-computational-mathematics/simulation-of-stochastic-processes-and-applications/8BE8B7D9CD06A5DF8FDF69B47CD1AE8A

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Chapters/Headings	Author(s)	Pages	Info
Frontmatter		i-iv
Contents		v-vi
Preface		vii-viii
Singularities and computation of minimizers for variational problems	J.M. Ball	1-20
Adaptive finite element methods for flow problems	R. Becker; M. Braack; R. Rannacher	21-44
Newton's method and some complexity aspects of the zero-finding problem	J.-P. Dedieu	45-68
Kronecker's smart, little black boxes	M. Giusti; J. Heintz	69-104
Numerical analysis in Lie groups	A. Iserles	105-124
Feasibility control in nonlinear optimization	M. Marazzi; J. Nocedal	125-154
Six lectures on the geometric integration of ODEs	R. I. McLachlan; G. R. Quispel	155-210
When are integration and discrepancy tractable?	E. Novak; H. Wozniakowski	211-266
Moving frames — in geometry, algebra, computer vision, and numerical analysis	P. J. Olver	267-298
Harmonic map flows and image processing	G. Sapiro	299-322
Statistics from computations	H. Sigurgeirsson; A. M. Stuart	323-344
Simulation of stochastic processes and applications	D. Talay	345-360
Real-time numerical solution to Duncan-Mortensen-Zakai equation	S.-T. Yau; S. S.-T. Yau	361-400
Chapters/Headings	Author(s)	Pages	Info

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