Minimum Mode Saddle Point Searches Using Gaussian Process Regression with Inverse-Distance Covariance Function [PDF]
, 2019 The minimum mode following method can be used to find saddle points on an energy surface by following a direction guided by the lowest curvature mode.
Aki, Vehtari +3 more
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Saddle-Center configuration [PDF]
, 2018 Saddle-Center fixed point ...
Víctor José García Garrido (5164049)
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Optical-phonon resonances with saddle-point excitons in twisted-bilayer graphene [PDF]
, 2014 Twisted-bilayer graphene (tBLG) exhibits van Hove singularities in the density of states that can be tuned by changing the twisting angle θ. A θ-defined tBLG has been produced and characterized with optical reflectivity and resonance Raman scattering ...
Kasperczyk, Mark +16 more
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Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems [PDF]
, 2022 Saddle-point problems appear in various settings including machine learning, zero-sum stochastic games, and regression problems. We consider decomposable saddle-point problems and study an extension of the alternating direction method of multipliers to ...
Karabag, Mustafa O. +2 more
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3D Flow of Hybrid Nanomaterial through a Circular Cylinder: Saddle and Nodal Point Aspects
Mathematics, 2022 This mathematical model explains the behavior of sinusoidal radius activity in stagnation point three-dimensional flow of hybrid nanoparticles through a circular cylinder.
Javali K. Madhukesh +5 more
doaj +1 more source
Saddle point criteria for semidefinite semi-infinite convex multiobjective optimization problems [PDF]
Yugoslav Journal of Operations Research, 2022 In this paper, we consider a nonlinear semidefinite semi-infinite convex multiobjective optimization problem where the feasible region is determined by finite number of equality and infinite number of inequality constraints.
Laha Vivek +2 more
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New active-set Frank-Wolfe variants for saddle point problems [PDF]
, 2022 We describe a new personal variant of the Frank-Wolfe algorithm that estimates the null components of the sparse Saddle-point solution of a convex-concave Saddle point problem. Then, we show with numerical tests hold this approach brings savings in terms
Bortolon, Francesco
core
Zeroth-Order Algorithms for Smooth Saddle-Point Problems [PDF]
, 2021 Saddle-point problems have recently gained an increased attention from the machine learning community, mainly due to applications in training Generative Adversarial Networks using stochastic gradients. At the same time, in some applications only a zeroth-
Pavel Dvurechensky +7 more
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Analysis of Preconditioners for Saddle-Point Problems [PDF]
SIAM Journal on Scientific Computing, 2004 The authors describe a preconditioning technique for ``saddle-point'' structure matrices arising from mixed finite element formulations. The construction of preconditioners is based on some more general spectral eqivalence-like assumptions (norm and field-of-values equivalences), for problems satisfying Babuška's stability conditions.
Loghin, D, Wathen, A
openaire +3 more sources
Saddle point inflation from f(R) theory
Physics Letters B, 2015 We analyse several saddle point inflationary scenarios based on power-law f(R) models. We investigate inflation resulting from f(R)=R+αnM2(1−n)Rn+αn+1M−2nRn+1 and f(R)=∑nlαnM2(1−n)Rn as well as l→∞ limit of the latter. In all cases we have found relation
Michał Artymowski +2 more
doaj +1 more source