Computations with large matrices work out faster with computer software, even faster creating automatically the matrix of the size and pattern needed. In this paper we propose free computer algebra system Xcas resources to display particular matrices that can be called up directly. Our computer codes provide shortcuts for entering random block diagonal matrices, random triangular matrices, random and specialized band matrices, elementary matrices Eij, Fourier matrices. As for matrices needed in the study of mathematical issues concerning the properties of the roots of a polynomial, we create features with polynomial coefficients. We also propose codes for immediate construction of functional matrices such as Jacobian, bordered Hessian and W...
Hadamard matrices are square matrices with +1 and -1 entries and with columns that are mutually orth...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
Dans cette thèse nous développons de nouveaux algorithmes de calcul numérique pour les matrices poly...
Computations with large matrices work out faster with computer software, even faster creating automa...
The purpose of this text is to provide an accessible introduction to a set of recently developed alg...
This dissertation is about computational tools based on randomized numerical linear algebra for hand...
Matrix-vector notation is the predominant idiom in which machine learning formulae are expressed; so...
This thesis develops several algorithms for working with matrices whose entries are multivariate pol...
Binary matrices not containing a smaller matrix as a submatrix have become an interesting topic rece...
16 pagesIn quasi-Monte Carlo methods, generating high-dimensional low discrepancy sequences by gener...
International audienceIn this paper we describe how the half-gcd algorithm can be adapted in order t...
We have advanced the application of algorithms within a method of basic matrices, which are equipped...
The theory of polynomial matrices plays a key role in the design and analysis of multi-input multi-o...
Solution of homogeneous linear systems of equations is a basic operation of matrix computa-tions. Th...
We discuss an algorithm with a simplistic approach to solving systems of linear equations arising fr...
Hadamard matrices are square matrices with +1 and -1 entries and with columns that are mutually orth...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
Dans cette thèse nous développons de nouveaux algorithmes de calcul numérique pour les matrices poly...
Computations with large matrices work out faster with computer software, even faster creating automa...
The purpose of this text is to provide an accessible introduction to a set of recently developed alg...
This dissertation is about computational tools based on randomized numerical linear algebra for hand...
Matrix-vector notation is the predominant idiom in which machine learning formulae are expressed; so...
This thesis develops several algorithms for working with matrices whose entries are multivariate pol...
Binary matrices not containing a smaller matrix as a submatrix have become an interesting topic rece...
16 pagesIn quasi-Monte Carlo methods, generating high-dimensional low discrepancy sequences by gener...
International audienceIn this paper we describe how the half-gcd algorithm can be adapted in order t...
We have advanced the application of algorithms within a method of basic matrices, which are equipped...
The theory of polynomial matrices plays a key role in the design and analysis of multi-input multi-o...
Solution of homogeneous linear systems of equations is a basic operation of matrix computa-tions. Th...
We discuss an algorithm with a simplistic approach to solving systems of linear equations arising fr...
Hadamard matrices are square matrices with +1 and -1 entries and with columns that are mutually orth...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
Dans cette thèse nous développons de nouveaux algorithmes de calcul numérique pour les matrices poly...