Results 291 to 300 of about 5,165,739 (337)

Robust Convex Optimization

Mathematics of Operations Research, 1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we lay the foundation of robust convex optimization.
A Ben-Tal, Arkadi Nemirovski
exaly   +4 more sources

Distributed Smooth Convex Optimization With Coupled Constraints

IEEE Transactions on Automatic Control, 2020
This note develops a distributed algorithm to solve a convex optimization problem with coupled constraints. Both coupled equality and inequality constraints are considered, where functions in the equality constraints are affine and functions in the ...
Shu Liang, Le Yi Wang, G Yin
exaly   +2 more sources

Convex Optimization

IEEE Transactions on Automatic Control, 2004
Stephen P. Boyd, Lieven Vandenberghe
semanticscholar   +3 more sources

Convex Optimization-Based Beamforming

IEEE Signal Processing Magazine, 2010
In this article, an overview of advanced convex optimization approaches to multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers that apply to a broad class of receive, transmit, and network beamformer design problems.
Alex B Gershman, Nicholas D Sidiropoulos, Shahram Shahbazpanahi   +2 more
exaly   +2 more sources

A simple uniformly optimal method without line search for convex optimization

Mathematical programming, 2023
Line search (or backtracking) procedures have been widely employed into first-order methods for solving convex optimization problems, especially those with unknown problem parameters (e.g., Lipschitz constant).
Tianjiao Li, Guanghui Lan
semanticscholar   +1 more source

An online convex optimization-based framework for convex bilevel optimization

Mathematical Programming, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lingqing Shen, Nam Ho-Nguyen, Fatma Kilinç-Karzan   +2 more
openaire   +2 more sources

Introduction to Online Convex Optimization

Found. Trends Optim., 2016
This monograph portrays optimization as a process. In many practical applications the environment is so complex that it is infeasible to lay out a comprehensive theoretical model and use classical algorithmic theory and mathematical optimization.
Elad Hazan
semanticscholar   +1 more source

Convex programming for disjunctive convex optimization

Mathematical Programming, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastián Ceria, João Soares
openaire   +1 more source

Convexity in Non-convex Optimizations of Streaming Applications

2012 IEEE 18th International Conference on Parallel and Distributed Systems, 2012
Streaming data applications are frequently pipelined and deployed on application-specific systems to meet performance requirements and resource constraints. Typically, there are several design parameters in the algorithms and architectures used that impact the application performance as well as resource utilization. Efficient exploration of this design
Shobana Padmanabhan, Yixin Chen 0001, Roger D. Chamberlain   +2 more
openaire   +1 more source

Convex optimization theory

Optimization Methods and Software, 2010
Convex optimization theory, by Dimitri P. Bertsekas, Athena Scientific, June 2009, 256 pp., $59.00 (hardcover), ISBN: 1-886529-31-0, 978-1-886529-31-1 The textbook, Convex Optimization Theory (Athe...
openaire   +1 more source