Results 171 to 180 of about 67,051 (221)

HIV/AIDS compartmental model analysis with drug resistance treatment, vertical transmission, and optimal control theory. [PDF]

Sci Rep
Peter OJ, Teklu SW, Balogun GB, Bolarin G, Asfaw MD.   +4 more
europepmc   +1 more source

Multiscale Modelling, Analysis and Simulation of Cancer Invasion Mediated by Bound and Soluble Enzymes. [PDF]

Bull Math Biol
Ptashnyk M, Venkataraman C.
europepmc   +1 more source

On manifolds with almost non-negative Ricci curvature and integrally-positive k th -scalar curvature. [PDF]

Math Ann
Cucinotta A, Mondino A.
europepmc   +1 more source

Well-posedness of Keller-Segel systems on compact metric graphs. [PDF]

J Evol Equ
Shemtaga H, Shen W, Sukhtaiev S.
europepmc   +1 more source

Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics. [PDF]

Sci Rep
Kumar N, Sajid M, Chauhan TS, Chauhan IS.   +3 more
europepmc   +1 more source

Robust Control Barrier Functions for Uncertain Parameter-Varying Control Affine Systems with Set-Membership Parameter Estimation. [PDF]

IEEE Trans Automat Contr
Pati T, Yong SZ.
europepmc   +1 more source

Semigroups of Locally Lipschitz Operators

Semigroups of Locally Lipschitz Operators
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On the Converse of Pansu's Theorem. [PDF]

Arch Ration Mech Anal
De Philippis G, Marchese A, Merlo A, Pinamonti A, Rindler F.   +4 more
europepmc   +1 more source

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Locally Lipschitz Functionals

2021
In this chapter we focus our attention on the theory developed by Clarke for locally Lipschitz functionals. More precisely, we will investigate the properties of the generalized directional derivative and the Clarke subdifferential as well as the connection with the convex subdifferential.
Nicuşor Costea, Alexandru Kristály, Csaba Varga   +2 more
openaire   +1 more source

BORNOLOGIES AND LOCALLY LIPSCHITZ FUNCTIONS

Bulletin of the Australian Mathematical Society, 2014
AbstractLet$\def \xmlpi #1{}\def \mathsfbi #1{\boldsymbol {\mathsf {#1}}}\let \le =\leqslant \let \leq =\leqslant \let \ge =\geqslant \let \geq =\geqslant \def \Pr {\mathit {Pr}}\def \Fr {\mathit {Fr}}\def \Rey {\mathit {Re}}\langle X,d \rangle $be a metric space.
Beer, Gerald, Garrido, M. I.
openaire   +2 more sources