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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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Related topics

Related topics

18 relations
Active set methodAlgorithmConstrained optimizationConvex function

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Signed Permutation Polytope Packing in VLSI Design
Three mathematical models of a placement problem in VLSI design is offered, where modules are squares, octagons, and rhombuses… 
2014
2014
Efficient Structured Matrix Rank Minimization
We study the problem of finding structured low-rank matrices using nuclear norm regularization where the structure is encoded by… 
Review
2010
Review
2010
Hair growth in a skin graft from a glabrous donor site in a child
An 8-year-old girl with brown hair presented with a large (8×10 cm) congenital hairy naevus involving her left cheek and temple… 
2008
2008
Frank-wolfe Algorithm to a Certain Kind of Geometric Programming
  • Y. Xu
  • 2008
  • Corpus ID: 123691457
The positive definite geometric programming is translated into a nonlinear programming with constraints of linear equality by… 
Review
2005
Review
2005
The Value of Professional Teaching Portfolios to Prospective Employers: School Administrators' Views.
The purpose of this study was to assess administrators’ views in a mid-western state regarding the development of a job search… 
2001
2001
Simplex-Like Trajectories on Quasi-Polyhedral Sets
This paper presents a unified treatment of two new simplex-like methods for linear semi-infinite programming problems with quasi… 
1992
1992
A Uniied Description of Iterative Algorithms for Traac Equilibria
The purpose of this paper is to provide a uniied description of iterative algorithms for the solution of traac equilibrium… 
1991
1991
A parallel Frank-Wolfe/gradient projection method for optimal control
The authors propose a parametrized gradient projection algorithm for solving large-scale problems, and in particular discrete… 
1990
1990
Effect of the Great Attractor on the cosmic microwave background radiation
ANISOTROPY in the cosmic microwave background radiation (CMB) is expected as a result of fluctuations in gravitational potential… 
1980
1980
Matrix augmentation and structure preservation in linearly constrained control problems
Matrix augmentation is used for the inversion of bases associated with large linearly constrained control problems. It is shown… 
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