Implementable tensor methods in unconstrained convex optimization. [PDF]
Nesterov Y.
europepmc +1 more source
Optimization of Globally Convex Functions
T. C. Hu, Victor Klee, David Larman
openalex +2 more sources
Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization [PDF]
Heinz H. Bauschke+2 more
openalex +1 more source
Reconstruction of Relative Phase of Self-Transmitting Devices by Using Multiprobe Solutions and Non-Convex Optimization. [PDF]
Tena Sánchez R+3 more
europepmc +1 more source
Uniform convergence of convex optimization problems
P. Kanniappan, S. Sastry
openalex +1 more source
A selection principle with applications in convex analysis and optimization
Dominik Noll
openalex +1 more source
Convex Analysis and Nonlinear Optimization: Theory and Examples. Jonathan M. Borwein and Adrian S. Lewis, Springer, New York, 2000 [PDF]
Michael J. Todd
openalex +1 more source
Constrained optimization in L∞-norm: An algorithm for convex quadratic interpolation
Lakshman S. Thakur
openalex +1 more source
Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization [PDF]
This paper develops two parameter-free methods for solving convex and strongly convex hybrid composite optimization problems, namely, a composite subgradient type method and a proximal bundle type method. Both functional and stationary complexity bounds for the two methods are established in terms of the unknown strong convexity parameter.
arxiv
Variable Smoothing for Convex Optimization Problems Using Stochastic Gradients. [PDF]
Boţ RI, Böhm A.
europepmc +1 more source