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Convex conjugate
Known as:
Fenchel's inquality
, Legendre–Fenchel transformation
, Convex conjugation
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In mathematics and mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation. It is also known…
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Related topics
Related topics
24 relations
Bipolar theorem
Bregman divergence
Closed convex function
Convex function
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Broader (1)
Convex analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Subjective Expectations and Asset-Return Puzzles
M. Weitzman
2007
Corpus ID: 51768527
In textbook expositions of the equity-premium, riskfree-rate and equity-volatility puzzles, agents are sure of the economy's…
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Highly Cited
2004
Highly Cited
2004
Particle filters for mixture models with an unknown number of components
P. Fearnhead
Statistics and computing
2004
Corpus ID: 16289632
We consider the analysis of data under mixture models where the number of components in the mixture is unknown. We concentrate on…
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Highly Cited
2003
Highly Cited
2003
A Practical Attack on Some Braid Group Based Cryptographic Primitives
D. Hofheinz
,
R. Steinwandt
International Conference on Theory and Practice…
2003
Corpus ID: 10348148
A simple heuristic approach to the conjugacy problem in braid groups is described. Although it does not provide a general…
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Highly Cited
2003
Highly Cited
2003
Strong cooperative enhancement of two-photon absorption in dendrimers
M. Drobizhev
,
A. Karotki
,
Yuliya Dzenis
,
A. Rebane
,
Z. Suo
,
C. Spangler
2003
Corpus ID: 33429599
We present, for the first time, unambiguous spectroscopic evidence of strong cooperative enhancement of two-photon absorption…
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Review
1998
Review
1998
From Potential Theory to Matrix Iterations in Six Steps
T. Driscoll
,
K. Toh
,
L. Trefethen
SIAM Review
1998
Corpus ID: 6738021
The theory of the convergence of Krylov subspace iterations for linear systems of equations (conjugate gradients, biconjugate…
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Highly Cited
1996
Highly Cited
1996
Relations between Galerkin and Norm-Minimizing Iterative Methods for Solving Linear Systems
J. Cullum
,
A. Greenbaum
SIAM Journal on Matrix Analysis and Applications
1996
Corpus ID: 41164849
Several iterative methods for solving linear systems $Ax=b$ first construct a basis for a Krylov subspace and then use the basis…
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Highly Cited
1995
Highly Cited
1995
A discrete BCG-FFT algorithm for solving 3D inhomogeneous scatterer problems
Hong Gan
,
Weng Cho
,
ChewElectromagnetics
1995
Corpus ID: 15409142
In this paper, an algorithm for computation of the scattered fields from three dimensional inhomogeneous dielectric scatterers is…
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Highly Cited
1992
Highly Cited
1992
How Fast are Nonsymmetric Matrix Iterations?
N. Nachtigal
,
S. C. Reddy
,
L. Trefethen
SIAM Journal on Matrix Analysis and Applications
1992
Corpus ID: 16246165
Three leading iterative methods for the solution of nonsymmetric systems of linear equations are CGN (the conjugate gradient…
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Highly Cited
1992
Highly Cited
1992
Conjugate Gradient-Type Methods for Linear Systems with Complex Symmetric Coefficient Matrices
R. Freund
SIAM Journal on Scientific Computing
1992
Corpus ID: 38201163
Conjugate gradient-type methods for the solution of large sparse linear systems $Ax = b$ with complex symmetric coefficient…
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Highly Cited
1992
Highly Cited
1992
TNPACK—A truncated Newton minimization package for large-scale problems: I. Algorithm and usage
T. Schlick
,
A. Fogelson
TOMS
1992
Corpus ID: 15729879
We present a FORTRAN package of subprograms for minimizing multivariate functions without constraints by a truncated Newton…
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