Variational analysis

Variational analysis is a branch of mathematics that extends the methods arising from the classic calculus of variations and convex analysis to more… (More)
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Papers overview

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2016
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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Highly Cited
2010
Highly Cited
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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Highly Cited
2006
Highly Cited
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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Highly Cited
2002
Highly Cited
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
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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Highly Cited
2000
Highly Cited
2000
Given the chaotic nature of the atmosphere, ensemble forecasting is increasingly being embraced as an approach for providing… (More)
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Highly Cited
1999
Highly Cited
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
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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Highly Cited
1996
Highly Cited
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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Highly Cited
1970
Highly Cited
1970
This study aims at the theoretical development of a method of “four-dimensional analysis,” namcly the numerical variational… (More)
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