Results 241 to 250 of about 826,027 (309)

Homogeneous isosceles-free spaces. [PDF]

Rev R Acad Cienc Exactas Fis Nat A Mat
Bargetz C, Bartoš A, Kubiś W, Luggin F.   +3 more
europepmc   +1 more source

Multipartite entanglement measures: A review. [PDF]

Fundam Res
Ma M, Li Y, Shang J.
europepmc   +1 more source

Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique. [PDF]

Sci Rep
Rashid S, Ali I, Fatima N, Fatima T, Agam FT, Elagan SK.   +5 more
europepmc   +1 more source

On the solution for a nonlinear wave equation with variable exponent nonlinearity and a varying delay. [PDF]

Sci Rep
Benguessoum A, Bensaid M, Boulaaras S, Souid MS.   +3 more
europepmc   +1 more source

Compositional complexity buffers free-volume sensitivity and serrated flow in metallic glasses. [PDF]

NPJ Comput Mater
Bajpai A, Wang J, Raabe D.
europepmc   +1 more source

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Maximal Monotone Operators

Nonlinear Evolution and Difference Equations of Monotone Type in Hilbert Spaces, 2019
. We provide a new and short proof for Rockafellar’s characterization of maximal monotone operators in re(cid:13)exive Banach spaces based on S. Fitzpatrick’s function and a technique used by R. S. Burachik and B. F.
B. Djafari-Rouhani, H. Khatibzadeh
semanticscholar   +2 more sources

Maximal Monotone Inclusions and Fitzpatrick Functions

Journal of Optimization Theory and Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
J. Borwein, J. Dutta
semanticscholar   +2 more sources

On Fractional Evolution Inclusion Coupled with a Time and State Dependent Maximal Monotone Operator

Set-Valued and Variational Analysis, 2021
C. Castaing, C. Godet-Thobie, S. Saïdi
semanticscholar   +3 more sources

Evolution Inclusions Governed by Time-Dependent Maximal Monotone Operators with a Full Domain

Set-Valued and Variational Analysis, 2020
Emilio Vilches, Bao Tran Nguyen
semanticscholar   +3 more sources

Tight Sublinear Convergence Rate of the Proximal Point Algorithm for Maximal Monotone Inclusion Problems

SIAM Journal on Optimization, 2020
The tight sublinear convergence rate of the proximal point algorithm for maximal monotone inclusion problems is established based on the squared fixed point residual.
G. Gu, Junfeng Yang
semanticscholar   +1 more source