In mathematics and mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation. It is also known… (More)

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2015

2015

- Hartwig Anzt, Stanimire Tomov, Piotr Luszczek, William Sawyer, Jack J. Dongarra
- IJHPCA
- 2015

Krylov subspace iterative solvers are often the method of choice when solving large sparse linear systems. At the same time… (More)

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2013

2013

- Eunho Yang, Pradeep Ravikumar
- NIPS
- 2013

We provide a unified framework for the high-dimensional analysis of<lb>“superposition-structured” or “dirty” statistical models… (More)

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2013

2013

- Bryan Gardiner, Yves Lucet
- Math. Program.
- 2013

We present a new algorithm to compute the Legendre–Fenchel conjugate of convex piecewise linear-quadratic (PLQ) bivariate… (More)

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2013

2013

- Konstantinos Papafitsoros, Carola-Bibiane Schönlieb
- Journal of Mathematical Imaging and Vision
- 2013

In this paper we study a variational problem in the space of functions of bounded Hessian. Our model constitutes a… (More)

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2006

2006

- Rafal Goebel, Andrew R. Teel, Tingshu Hu, Zongli Lin
- IEEE Transactions on Automatic Control
- 2006

Tools from convex analysis are used to show how stability properties and Lyapunov inequalities translate when passing from a… (More)

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Highly Cited

2004

Highly Cited

2004

- Jun Zhang
- Neural Computation
- 2004

From a smooth, strictly convex function phi: Rn --> R, a parametric family of divergence function Dphi(alpha) may be introduced… (More)

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2003

2003

- Francis H. Clarke, R. J. Stern
- SIAM J. Control and Optimization
- 2003

A standard finite dimensional nonlinear control system is considered, along with a state constraint set S and a target set Σ. It… (More)

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2003

2003

- Aytaç Ílhan, Ronnie Sircar
- 2003

We study optimal hedging of barrier options using a combination of a static position in vanilla options and dynamic trading of… (More)

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1997

1995

1995

- Moody T. Chu, Robert Funderlic, Gene H. Golub
- SIAM Review
- 1995

Dedicated to the Memory of Alston S Householder Abstract Let A R n denote an arbitrary matrix If x R and y R are vectors such… (More)

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