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Convex optimization

Known as: Convex programming, Convex optimization problem, Convex problem 
Convex minimization, a subfield of optimization, studies the problem of minimizing convex functions over convex sets. The convexity property can make… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
In this paper, a cross-layer framework to jointly optimize spectrum sensing and access in agile wireless networks is presented. A… 
2010
2010
We study the design and optimization of unequal error protection (UEP) rateless codes for scalable multimedia multicasting. We… 
2010
2010
In this paper, we propose a new technique, referred to as Multi-Wafer Virtual Probe (MVP) to efficiently model wafer-level… 
2007
2007
The compress-and-forward (C&F) cooperative relaying strategy is known to outperform decode-and-forward (D&F) when the relay is… 
Highly Cited
2004
Highly Cited
2004
As low power, low cost, and longevity of transceivers are major requirements in wireless sensor networks, optimizing their design… 
2003
2003
This paper presents an algorithm, called PCG, for planning the foothold positions of spider-like robots in planar tunnels bounded… 
2001
2001
We consider the problem of designing decentralized algorithms to achieve max-min fairness in multicast networks. Starting with a… 
Highly Cited
1975
Highly Cited
1975
The minimum distance d_{\text{min}} is the fundamental performance parameter for modems using maximum likelihood sequence… 
1974
1974
A triangulation of the nonnegative orthant and a special labeling of the vertices lead to a combinatorial procedure for seeking… 
Highly Cited
1966
Highly Cited
1966
Abstract : In a previous paper (AD-612 896), the author described and characterized the equivalent convex program of a twostage…