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On Quasi-linear parabolic SPDEs with non-Lipschitz coefficients
Random Operators and Stochastic Equations, 1998The authors considers a parabolic stochastic partial differential equation of the form \[ {\partial u(t,x)\over \partial t}= {\partial^2 u(t,x)\over \partial x^2} +b(t,x,u(t,x))+\sigma(t,x,u(t,x)) {\partial^2 W(t,x)\over \partial t\partial x}, \] where \({\partial^2 W(t,x)}/{\partial z\partial x}\) is the formal derivative of the Brownian sheet.
Eddahbi, M., Erraoui, M.
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Evolution differential equations with non-Lipschitz nonlinearities
Differential Equations, 2014We suggest a generalization of the Peano theorem (on the existence of a solution of the Cauchy problem for a differential system) to the case of an infinite-dimensional phase space.
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BSΔEs and BSDEs with non-Lipschitz drivers
Bernoulli, 2013We provide existence results and comparison principles for solutions of backward stochastic difference equations (BSΔEs) and then prove convergence of these to solutions of backward stochastic differential equations (BSDEs) when the mesh size of the time-discretizaton goes to zero. The BSΔEs and BSDEs are governed by drivers fN(t,ω,y,z) and f(t,ω,y,z),
Cheridito, P., Stadje, M.A.
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Itô SDEs with Non-Lipschitz Coefficients
2022Francesco Russo, Pierre Vallois
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Differential inequalities and non-lipschitz scalar functions
Mathematical Systems Theory, 1970openaire +2 more sources
Non-Lipschitz Homogeneous Volterra Integral Equations
2018M. R. Arias, R. Benítez, V. J. Bolós
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Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications
IEEE Transactions on Neural Networks and Learning Systems, 2012Wei Bian, xiaojun chen
exaly
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2011
Martin Hutzenthaler, Arnulf Jentzen
exaly
Martin Hutzenthaler, Arnulf Jentzen
exaly

