Applicable Analysis · 2016 · 35 citations · 19 references
Natural SciencesPhysicsComputational PhysicsDifferential EquationsStochastic ModelingIntegral Equation FormulationsIntegral EquationsNumerical AlgorithmsNumerical AnalysisNumerical IntegrationNumerical Methods For Differential EquationsDifferential Equation SolversNonlinear Differential-algebraic EquationsNonlinear Integral EquationsNumerical Integration Error AnalysisNumerical Methods For Integral EquationsNumerical Methods For Stochastic Differential EquationsVolterra Integral Equations
In this paper, an efficient method for solving nonlinear Stratonovich Volterra integral equations is proposed. By using Bernoulli polynomials and their stochastic operational matrix of integration, these equations can be reduced to the system of nonlinear algebraic equations with unknown Bernoulli coefficient which can be solved by numerical methods such as Newton’s method. Also, an error analysis is valid under fairly restrictive conditions. Furthermore, in order to show the accuracy and reliability of the proposed method, the new approach is compared with the block pulse functions method by some examples. The obtained results reveal that the proposed method is more accurate and efficient than the block pulse functions method.
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A New Representation for Stochastic Integrals and Equations
R. L. Stratonovich · SIAM Journal on Control · 1966 · 588 citations
Engineering, Mathematics, Physics +14
On Volterra’s Population Equation
Richard K. Miller · SIAM Journal on Applied Mathematics · 1966 · 125 citations