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Frank–Wolfe algorithm

Known as: Conditional gradient method, Frank-Wolfe, Frank-Wolfe algorithm 
The Frank–Wolfe algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional… 
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Papers overview

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2019
2019
Three mathematical models of a placement problem in VLSI design is offered, where modules are squares, octagons, and rhombuses… 
2014
2014
Estimating the most likely configuration (MAP) is one of the fundamental tasks in probabilistic models. While MAP inference is… 
2014
2014
We study the problem of finding structured low-rank matrices using nuclear norm regularization where the structure is encoded by… 
Review
2010
Review
2010
An 8-year-old girl with brown hair presented with a large (8×10 cm) congenital hairy naevus involving her left cheek and temple… 
2004
2004
The generalized reduced gradient method has been proven to be a precise and accurate method for solving nonlinear programming… 
2001
2001
This paper presents a unified treatment of two new simplex-like methods for linear semi-infinite programming problems with quasi… 
1992
1992
The purpose of this paper is to provide a uniied description of iterative algorithms for the solution of traac equilibrium… 
1990
1990
ANISOTROPY in the cosmic microwave background radiation (CMB) is expected as a result of fluctuations in gravitational potential… 
1980
1980
Matrix augmentation is used for the inversion of bases associated with large linearly constrained control problems. It is shown… 
Highly Cited
1975
Highly Cited
1975
The seasonal dynamics of Mn, Fe, Zn, Cu and Cd were investigated in a genetically similar population of hatchery-reared American…