Add to ORKGIn this paper, we propose numerical methods for minimization problems constrained to S 1 and S 2. By our technique based on the angle formulation, standard numerical difficulties are easily overcome. Applications to computations of harmonic maps, denoising of directional data and of color images are presented, in two and three dimensions. Ó 2004 Elsevier Inc. All rights reserved
We consider the least-squares (L2) minimization problems in multiple view geometry for triangulation...
The minimization of a functional composed of a nonsmooth and nonadditive regularization term and a c...
We present a new numerical method for the computation of the forcing term of minimal norm such that ...
AbstractFor minimization problems with nonlinear equality constraints, various numerical tools are s...
Abstract: Mathematical apparatus of the bent-straightened problems of constrained optimiza...
A numerical method, with truncation methods as a special case, for computing singular minimizers in ...
In this paper, we show that minimization problems involving sublinear regularizing terms are ill-pos...
AbstractIn this paper, we show that minimization problems involving sublinear regularizing terms are...
The minimization of the functional G(v)=H(Sv)+∫∂Ω m·v-∫Ω k·v is related to various geometrical type ...
We state that a one-dimensional manifold of shapes in 3-space can be modeled by a level set function...
Minimization with orthogonality constraints (e.g., X'X = I) and/or spherical constraints (e.g., ||x|...
Many applications from fields such as mathematical physics, image processing, computer vision and me...
We present a new numerical method for the computation of the forcing term of minimal norm such that ...
The motivation for the present work comes from our recently published paper [2] on the design of mot...
IN this paper we examine existiing algorithms for minimizing a nonlinear function of many variables...
We consider the least-squares (L2) minimization problems in multiple view geometry for triangulation...
The minimization of a functional composed of a nonsmooth and nonadditive regularization term and a c...
We present a new numerical method for the computation of the forcing term of minimal norm such that ...
AbstractFor minimization problems with nonlinear equality constraints, various numerical tools are s...
Abstract: Mathematical apparatus of the bent-straightened problems of constrained optimiza...
A numerical method, with truncation methods as a special case, for computing singular minimizers in ...
In this paper, we show that minimization problems involving sublinear regularizing terms are ill-pos...
AbstractIn this paper, we show that minimization problems involving sublinear regularizing terms are...
The minimization of the functional G(v)=H(Sv)+∫∂Ω m·v-∫Ω k·v is related to various geometrical type ...
We state that a one-dimensional manifold of shapes in 3-space can be modeled by a level set function...
Minimization with orthogonality constraints (e.g., X'X = I) and/or spherical constraints (e.g., ||x|...
Many applications from fields such as mathematical physics, image processing, computer vision and me...
We present a new numerical method for the computation of the forcing term of minimal norm such that ...
The motivation for the present work comes from our recently published paper [2] on the design of mot...
IN this paper we examine existiing algorithms for minimizing a nonlinear function of many variables...
We consider the least-squares (L2) minimization problems in multiple view geometry for triangulation...
The minimization of a functional composed of a nonsmooth and nonadditive regularization term and a c...
We present a new numerical method for the computation of the forcing term of minimal norm such that ...