Given a (Figure presented.)3-vector (Formula presented.) the least distance problem from the Grassmann variety (Formula presented.) is considered. The solution of this problem is related to a decomposition of (Formula presented.) into a sum of at most five decomposable orthogonal 3-vectors in (Formula presented.). This decomposition implies a certain canonical structure for the Grassmann matrix which is a special matrix related to the decomposability properties of (Formula presented.). This special structure implies the reduction of the problem to a considerably lower dimension tensor space ⊗3R2 where the reduced least distance problem can be solved efficiently
Dimitri Grigoriev has shown that for any family of N vectors in the ddimensionallinear space E = (F2...
Let X be an arrangement of n algebraic sets X_i in d-space, where the X_i are either parameterized o...
This book provides a comprehensive advanced multi-linear algebra course based on the concept of Hass...
The paper introduces the formulation of an exact algebrogeometric problem, the study of the Determin...
The approximation of a multivector by a decomposable one is a distance-optimization problem between ...
The paper provides a direct solution to the determinantal assignment problem (DAP) which unifies all...
The Determinantal Assignment Problem (DAP) is one of the central problems of Algebraic Control Theor...
The Determinantal Assignment Problem (DAP) has been introduced as the unifying description of all fr...
In this article, we deal with the study of the determinantal assignment problem (DAP) when the param...
International audienceStructured low-rank approximation is the problem of minimizing a weighted Frob...
Join decompositions generalize some ubiquitous decompositions in multilinear algebra, namely tensor ...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
An equivalence relation is defined on ΛrV, the rth Grassman space over V and the problem of the dete...
We investigate the computational complexity of several special cases of the three-dimensional matchi...
The join set of a finite collection of smooth embedded submanifolds of a mutual vector space is defi...
Dimitri Grigoriev has shown that for any family of N vectors in the ddimensionallinear space E = (F2...
Let X be an arrangement of n algebraic sets X_i in d-space, where the X_i are either parameterized o...
This book provides a comprehensive advanced multi-linear algebra course based on the concept of Hass...
The paper introduces the formulation of an exact algebrogeometric problem, the study of the Determin...
The approximation of a multivector by a decomposable one is a distance-optimization problem between ...
The paper provides a direct solution to the determinantal assignment problem (DAP) which unifies all...
The Determinantal Assignment Problem (DAP) is one of the central problems of Algebraic Control Theor...
The Determinantal Assignment Problem (DAP) has been introduced as the unifying description of all fr...
In this article, we deal with the study of the determinantal assignment problem (DAP) when the param...
International audienceStructured low-rank approximation is the problem of minimizing a weighted Frob...
Join decompositions generalize some ubiquitous decompositions in multilinear algebra, namely tensor ...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
An equivalence relation is defined on ΛrV, the rth Grassman space over V and the problem of the dete...
We investigate the computational complexity of several special cases of the three-dimensional matchi...
The join set of a finite collection of smooth embedded submanifolds of a mutual vector space is defi...
Dimitri Grigoriev has shown that for any family of N vectors in the ddimensionallinear space E = (F2...
Let X be an arrangement of n algebraic sets X_i in d-space, where the X_i are either parameterized o...
This book provides a comprehensive advanced multi-linear algebra course based on the concept of Hass...