Results 51 to 60 of about 166 (143)
Tensor methods for finding approximate stationary points of convex functions. [PDF]
Optim Methods Softw, 2022 Grapiglia GN, Nesterov Y.
europepmc +1 more source
Characterizations Of The Barrier Parameter Of Homogeneous Convex Cones
, 1995 We characterize the barrier parameter of the optimal self--concordant barriers for homogeneous cones. In particular, we prove that for homogeneous convex cones this parameter is the same as the rank of the corresponding Siegel domain and also the same as
Osman Guler Levent
core +1 more source
Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
J Optim Theory Appl, 2021 Doikov N, Nesterov Y.
europepmc +1 more source
Regularization Parameter Selection for the Low Rank Matrix Recovery
A popular approach to recover low rank matrices is the nuclear norm regularized minimization (NRM) for which the selection of the regularization parameter is inevitable.
Pan Shang, Lingchen Kong
core +1 more source
Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy. [PDF]
Oper Res Health Care, 2021 Lampariello L, Sagratella S.
europepmc +1 more source
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. [PDF]
Optim Lett, 2021 Banjac G, Lygeros J.
europepmc +1 more source
Equilibria With Infinitely Many Differentiated Classes Of Customers
, 1997 . In this work we consider a bicriterion extension of equilibrium problems formulated as variational inequalities, and propose for its solution a generalization of the Frank-Wolfe method.
P. Marcotte, D. L. Zhu
core
Conic separation of finite sets. I. The homogeneous case
, 2020 . This work addresses the issue of separating two finite sets in R n by means of a suitable revolution cone The specific challenge at hand is to determine the aperture coefficient s, the axis y, and the apex z of the cone.
Manlio Gaudioso +2 more
core
New duality results for evenly convex optimization problems. [PDF]
Optimization, 2021 Fajardo MD, Grad SM, Vidal J.
europepmc +1 more source
Local convergence of tensor methods. [PDF]
Math Program, 2022 Doikov N, Nesterov Y.
europepmc +1 more source