Results 111 to 120 of about 330,664 (214)

Optimal Tensor Methods in Smooth Convex and Uniformly Convex Optimization [PDF]

, 2019
International ...
Gasnikov, Alexander, Dvurechensky, Pavel, Gorbunov, Eduard, Vorontsova, Evgeniya, Selikhanovych, Daniil, Uribe, César, A.   +5 more
openaire   +1 more source

One-Point Residual Feedback Algorithms for Distributed Online Convex and Non-convex Optimization [PDF]

arXiv
This paper mainly addresses the distributed online optimization problem where the local objective functions are assumed to be convex or non-convex. First, the distributed algorithms are proposed for the convex and non-convex situations, where the one-point residual feedback technology is introduced to estimate gradient of local objective functions ...
arxiv  

Complexity of Convex Optimization Using Geometry-Based Measures and a Reference Point [PDF]

, 2001
Robert M. Freund
openalex   +1 more source

A new outlier detection method based on convex optimization: application to diagnosis of Parkinson's disease. [PDF]

J Appl Stat, 2021
Taylan P, Yerlikaya-Özkurt F, Bilgiç Uçak B, Weber GW.   +3 more
europepmc   +1 more source

Global and uniform convergence of subspace correction methods for some convex optimization problems [PDF]

, 2001
Xue‐Cheng Tai, Jinchao Xu
openalex   +1 more source

New duality results for evenly convex optimization problems. [PDF]

Optimization, 2021
Fajardo MD, Grad SM, Vidal J.
europepmc   +1 more source

Approximate optimality conditions and sensitivity analysis in nearly convex optimization [PDF]

arXiv
In this paper, approximate optimality conditions and sensitivity analysis in nearly convex optimization are discussed. More precisely, as in the spirit of convex analysis, we introduce the concept of $\varepsilon$-subdifferential for nearly convex functions.
arxiv  

Convex optimization and lagrange multipliers

, 1978
Charles Blair
openalex   +2 more sources

A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations [PDF]

, 2002
Krister Svanberg
openalex   +1 more source

Schur-convexity for A-optimal designs

Journal of Mathematical Analysis and Applications, 1987
AbstractIn a regression setting, Chan (J. Math. Anal. Appl. 87 (1982), 45–50) gave a lower bound for the trace of the covariance matrix of the simple least squares estimate. For the case in which this lower bound cannot be reached, a sharper lower bound and a necessary and sufficient condition for its attainment are obtained using the idea of Schur ...
openaire   +2 more sources