# Variational analysis

## Papers overview

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2016

2016

- ICML
- 2016

Stochastic Gradient Descent (SGD) is an important algorithm in machine learning. With constant learning rates, it is a stochastic… (More)

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2010

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2010

- International Journal of Computer Vision
- 2010

Non-local methods for image denoising and inpainting have gained considerable attention in recent years. This is in part due to… (More)

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2006

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2006

- 2006

By S. M. UPPALA1, P. W. KÅLLBERG1, A. J. SIMMONS1∗, U. ANDRAE1, V. DA COSTA BECHTOLD1, M. FIORINO2, J. K. GIBSON1, J. HASELER1, A… (More)

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2002

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2002

- 2002

In this study, a global three-dimensional variational analysis system is formulated in model grid space. This formulation allows… (More)

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2001

2001

- SIAM J. Math. Analysis
- 2001

We examine a variational problem from elastic stability theory: a thin elastic strut on an elastic foundation. The strut has… (More)

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2000

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2000

- 2000

Given the chaotic nature of the atmosphere, ensemble forecasting is increasingly being embraced as an approach for providing… (More)

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1999

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1999

- DAC
- 1999

As interconnect feature sizes continue to scale to smaller dimensions, long interconnect can dominate the IC timing performance… (More)

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1999

1999

- 1999

In this paper the standard variational analysis scheme is modified, through a simple transform, to avoid the inversion of the… (More)

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1996

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1996

- 1996

The class of prox-regular functions covers all l.s.c., proper, convex functions, lower-C functions and strongly amenable… (More)

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1970

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1970

- 1970

This study aims at the theoretical development of a method of “four-dimensional analysis,” namcly the numerical variational… (More)

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