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Hessian matrix

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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

Hessian matrix

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Comparison-Based Optimizers Need Comparison-Based Surrogates

Effective nonmarket strategies: A model of political capabilities

Steerable Features for Statistical 3D Dendrite Detection

Steerable Features for Statistical 3D Dendrite Detection

Dealing with singularities in nonlinear unconstrained optimization

Fast Human Detection in Videos using Joint Appearance and Foreground Learning from Covariances of Image Feature Subsets

A representation formula for the voltage perturbations caused by diametrically small conductivity inhomogeneities. Proof of uniform validity

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

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

Fast Human Detection from Videos Using Covariance Features

A representation formula for the voltage perturbations caused by diametrically small conductivity inhomogeneities. Proof of uniform validity

Comparison-Based Optimizers Need Comparison-Based Surrogates

Fast Human Detection from Videos Using Covariance Features

Steerable Features for Statistical 3D Dendrite Detection

Effective nonmarket strategies: A model of political capabilities

Steerable Features for Statistical 3D Dendrite Detection

Dealing with singularities in nonlinear unconstrained optimization

Fast Human Detection in Videos using Joint Appearance and Foreground Learning from Covariances of Image Feature Subsets

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

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