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Matrice (mathématiques)

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The role of perspective functions in convexity, polyconvexity, rank-one convexity and separate convexity

Bernard Dacorogna

Any finite, separately convex, positively homogeneous function on

\mathbb{R}^2

is convex. This was first established by the first author ["Direct methods in calculus of variations", Springer-Verlag (1989)]. Here we give a new and concise proof of this re ...

2008

Matrice (mathématiques)

Graph Chatbot

Chattez avec Graph Search

Thermal stress relaxation in magnesium matrix composites studied by mechanical spectroscopy

Average case analysis of sparse recovery with Thresholding: New bounds based on average dictionary coherence

Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations

3D: A Three-Dimensional Block Cipher

The role of perspective functions in convexity, polyconvexity, rank-one convexity and separate convexity

Dictionary preconditioning for greedy algorithms

Microstructure of precipitates and magnetic domain structure in an annealed Co38Ni33Al29 shape memory alloy

On Hermitian Pfister Forms

Reservoir Optimization in Recurrent Neural Networks using Kronecker Kernels

Artificial tongues and leaves

3D: A Three-Dimensional Block Cipher

Dictionary preconditioning for greedy algorithms

The role of perspective functions in convexity, polyconvexity, rank-one convexity and separate convexity

On Hermitian Pfister Forms

Average case analysis of sparse recovery with Thresholding: New bounds based on average dictionary coherence

Artificial tongues and leaves

Microstructure of precipitates and magnetic domain structure in an annealed Co38Ni33Al29 shape memory alloy

Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations

Reservoir Optimization in Recurrent Neural Networks using Kronecker Kernels

Thermal stress relaxation in magnesium matrix composites studied by mechanical spectroscopy