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Stochastic Invariance for Differential Inclusions
Set-Valued Analysis, 2000The first objective of this paper is to combine two ways for representing uncertainty through stochastic differential inclusions: a stochastic uncertainty driven by a Wiener process and a contingent uncertainty driven by a set-valued map. The second point consists to extend to stochastic differential inclusions the invariance theorem for nonstochastic ...
Aubin, Jean-Pierre +2 more
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Impulsive Differential Inclusions
2013Impulsive differential equations have been developed in modeling impulsive problems in physics, population dynamics, ecology, biotechnology, industrial robotics, pharmacokinetics, optimal control, etc. The questions of existence and stability of solutions for different classes of initial values problems for impulsive differential equations and ...
John R. Graef +2 more
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Partial Differential Inclusions
2013The present chapter is devoted to partial differential inclusions described by the semielliptic set-valued partial differential operators \(\mathbb{L}_{FG}\) generated by given set-valued mappings F and G. Such inclusions will be investigated by stochastic methods. As in the theory of ordinary differential inclusions, the existence of solutions of such
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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