AbstractA (stochastic) operator-theoretic approach leads to expresssions for inverses of linear and nonlinear stochastic operators—useful for the solution of linear or nonlinear stochastic differential equations. Operator equations are developed for inverses of linear or nonlinear stochastic operators. Series expressions are obtained which allow writing the solution y=F−1x of the operator equation Fy=x. Special cases are studied in which F may be linear or nonlinear, deterministic or stochastic in various combinations
Albeverio S, Blanchard P, KUSUOKA S, Streit L. AN INVERSE PROBLEM FOR STOCHASTIC DIFFERENTIAL-EQUATI...
AbstractIn Adomian's solution of linear or nonlinear, deterministic or stochastic, differential equa...
A solution method is developed for nonlinear differential equations having the following two propert...
AbstractThe operator-theoretic method (Adomian and Malakian, J. Math. Anal. Appl. 76(1), (1980), 183...
AbstractThe author's decomposition method for the solution of operator equations which may be nonlin...
AbstractThe operator-theoretic (or inverse) method for stochastic differential equations is generali...
AbstractThis work deals with the analysis of a class of semilinear vector stochastic operator equati...
AbstractGeneric operator equations allowing multidimensional operators are solved by a decomposition...
AbstractThe effect of nonzero initial conditions in Adomian's solution of linear, or nonlinear, stoc...
AbstractThe iterative method of the first author makes possible a self-correcting scheme for the app...
AbstractA number of important equations of physics are shown to fit into the structure of a nonlinea...
AbstractThe decomposition method (G. Adomian, “Stochastic Systems,” Academic Press, New York, 1983) ...
AbstractApplication of the decomposition method and of the asymptotic decomposition method are consi...
AbstractThe author's decomposition method [1] provides a new, efficient computational procedure for ...
AbstractConditions are stated for the vanishing of the stochastic bilinear concomitant in the stocha...
Albeverio S, Blanchard P, KUSUOKA S, Streit L. AN INVERSE PROBLEM FOR STOCHASTIC DIFFERENTIAL-EQUATI...
AbstractIn Adomian's solution of linear or nonlinear, deterministic or stochastic, differential equa...
A solution method is developed for nonlinear differential equations having the following two propert...
AbstractThe operator-theoretic method (Adomian and Malakian, J. Math. Anal. Appl. 76(1), (1980), 183...
AbstractThe author's decomposition method for the solution of operator equations which may be nonlin...
AbstractThe operator-theoretic (or inverse) method for stochastic differential equations is generali...
AbstractThis work deals with the analysis of a class of semilinear vector stochastic operator equati...
AbstractGeneric operator equations allowing multidimensional operators are solved by a decomposition...
AbstractThe effect of nonzero initial conditions in Adomian's solution of linear, or nonlinear, stoc...
AbstractThe iterative method of the first author makes possible a self-correcting scheme for the app...
AbstractA number of important equations of physics are shown to fit into the structure of a nonlinea...
AbstractThe decomposition method (G. Adomian, “Stochastic Systems,” Academic Press, New York, 1983) ...
AbstractApplication of the decomposition method and of the asymptotic decomposition method are consi...
AbstractThe author's decomposition method [1] provides a new, efficient computational procedure for ...
AbstractConditions are stated for the vanishing of the stochastic bilinear concomitant in the stocha...
Albeverio S, Blanchard P, KUSUOKA S, Streit L. AN INVERSE PROBLEM FOR STOCHASTIC DIFFERENTIAL-EQUATI...
AbstractIn Adomian's solution of linear or nonlinear, deterministic or stochastic, differential equa...
A solution method is developed for nonlinear differential equations having the following two propert...