Numerical Solution of Two-Dimensional Stochastic Integral Equations

Morteza Khodabin

ISBN 10: 333006885X / ISBN 13: 9783330068858

Published by LAP Lambert Academic Publishing Mai 2017, 2017

About this Item

Neuware -If we allow for some randomness in some of the coefficients of a partial differential equation we often obtain a more realistic mathematical model of the situation where is called the two-dimensional stochastic differential equation or in more complicated cases, two-dimensional stochastic integral equation. Some situations where such equations appear and can be used are: Population dynamics, protein kinetics, genetics, experimental psychology, neuronal activity, option pricing, turbulent diffusion, radio-astronomy, helicopter rotor, satellite orbit stability, biological waste treatment, hydrology, indoor air quality, seismology, structural mechanics, fatigue cracking, blood clotting dynamics, cellular energetics, Josephson junctions, communications, stochastic annealing, filtering problems, optimal portfolio problem and mathematical finance. Engineers, physicists and others with a more technical background in mathematical methods who are interested in implementing efficient numerical schemes or developing new schemes for specific classes of applications, can use this book.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.

Seller Inventory # 9783330068858

Bibliographic Details

• Title: Numerical Solution of Two-Dimensional Stochastic Integral Equations
• Publisher: LAP Lambert Academic Publishing Mai 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 333006885X
• ISBN 13: 9783330068858
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 107 grams

About this title

Synopsis

If we allow for some randomness in some of the coefficients of a partial differential equation we often obtain a more realistic mathematical model of the situation where is called the two-dimensional stochastic differential equation or in more complicated cases, two-dimensional stochastic integral equation. Some situations where such equations appear and can be used are: Population dynamics, protein kinetics, genetics, experimental psychology, neuronal activity, option pricing, turbulent diffusion, radio-astronomy, helicopter rotor, satellite orbit stability, biological waste treatment, hydrology, indoor air quality, seismology, structural mechanics, fatigue cracking, blood clotting dynamics, cellular energetics, Josephson junctions, communications, stochastic annealing, filtering problems, optimal portfolio problem and mathematical finance. Engineers, physicists and others with a more technical background in mathematical methods who are interested in implementing efficient numerical schemes or developing new schemes for specific classes of applications, can use this book.

About the Author

He received his PhD degree in 2004. Also, He is Managing Editor of the International Journal of Mathematical Sciences. His research interests include statistical Inference, Stochastic process, stochastic calculus and stochastic differential equations.