Stochastic Differential Equations: Theory, Methods, and Applications

Dear Colleagues,

Stochastic differential equations constitute a powerful mathematical apparatus for dealing with phenomena whose evolution is governed by random forces. Stochastic models involving such equations are used in many areas—for example, in physics, molecular biology, finance, climatology, ocean science, electrical engineering, and mechanics. Trajectories of solutions of stochastic differential equations determine the paths of the processes studied. The practical nature of these equations is not separated from theory; the two go hand in hand. Problems of existence of the solution, its uniqueness, its properties, asymptotic behavior, approximate solution, control of solution, numerical methods, and symmetry methods are just a few of the issues deserving a mention.

Therefore, this Special Issue invites articles on recent advances in both broad aspects of stochastic differential equations, namely, in theory and applications.

Dr. Marek T. Malinowski
Guest Editor

Manuscript Submission Information

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