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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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2014
2014
Estimating the most likely configuration (MAP) is one of the fundamental tasks in probabilistic models. While MAP inference is… 
2009
2009
  • 2009
  • Corpus ID: 33072145
Consider the problem to minimize f (x), (1a) subject to x ∈ S, (1b) where S ⊂ n is a polyhedron and where f : n → is a… 
2009
2009
This paper presents an advance stratagem to prevent contingencies and solve the optimal problem of economic and security dispatch… 
Review
2007
Review
2007
Esophageal cancer is one of the most difficult malignancies to cure. The prognosis remains unsatisfactory despite significant… 
2001
2001
This paper presents a unified treatment of two new simplex-like methods for linear semi-infinite programming problems with quasi… 
1998
1998
Decision trees for classification can be constructed using mathematical programming. Within decision tree algorithms, the feature… 
1992
1992
The purpose of this paper is to provide a uniied description of iterative algorithms for the solution of traac equilibrium… 
Highly Cited
1990
Highly Cited
1990
We show that an essential step in the PARTAN variant of the Frank–Wolfe algorithm for equilibrium assignment, the calculation of… 
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…