Linear programming bounds provide an elegant method to prove optimality and uniqueness of an (n,N,t) spherical code. However, this method does not apply to the parameters (4,10,1/6). We use semidefinite programming bounds instead to show that the Petersen code, which consists of the midpoints of the edges of the regular simplex in dimension 4, is the unique (4,10,1/6) spherical code
We derive universal lower bounds for the potential energy of spherical codes, that are optimal in th...
We present an extension of known semidefinite and linear programming upper bounds for spherical code...
We present an extension of known semidefinite and linear programming upper bounds for spherical code...
AbstractLinear programming bounds provide an elegant method to prove optimality and uniqueness of an...
Traditionally, optimality and uniqueness of an (n,N,t) spherical code is proved using linear program...
Traditionally, optimality and uniqueness of an (n,N,t) spherical code is proved using linear program...
We apply the semidefinite programming approach developed in arxiv:math.MG/0608426 to obtain new uppe...
htmlabstractWe apply the semidefinite programming approach developed in arxiv:math.MG/0608426 to obt...
In this paper we present a study of the linear programming technique developed by Delsarte, Goethal ...
We apply the semidefinite programming approach developed in arxiv:math.MG/0608426 to obtain new uppe...
This paper develops a new method to obtain upper bounds for spherical codes, based on semidefinite p...
AbstractIn this paper, we apply the semidefinite programming approach developed in [C. Bachoc, F. Va...
In this paper we give an algorithm to round the floating point output of a semidefinite programming ...
For many extremal configurations of points on a sphere, the linear programming approach can be used ...
A spherical code with parameter $(n, N,\gamma)$ is a set of N points on the unit sphere in $n$ dimen...
We derive universal lower bounds for the potential energy of spherical codes, that are optimal in th...
We present an extension of known semidefinite and linear programming upper bounds for spherical code...
We present an extension of known semidefinite and linear programming upper bounds for spherical code...
AbstractLinear programming bounds provide an elegant method to prove optimality and uniqueness of an...
Traditionally, optimality and uniqueness of an (n,N,t) spherical code is proved using linear program...
Traditionally, optimality and uniqueness of an (n,N,t) spherical code is proved using linear program...
We apply the semidefinite programming approach developed in arxiv:math.MG/0608426 to obtain new uppe...
htmlabstractWe apply the semidefinite programming approach developed in arxiv:math.MG/0608426 to obt...
In this paper we present a study of the linear programming technique developed by Delsarte, Goethal ...
We apply the semidefinite programming approach developed in arxiv:math.MG/0608426 to obtain new uppe...
This paper develops a new method to obtain upper bounds for spherical codes, based on semidefinite p...
AbstractIn this paper, we apply the semidefinite programming approach developed in [C. Bachoc, F. Va...
In this paper we give an algorithm to round the floating point output of a semidefinite programming ...
For many extremal configurations of points on a sphere, the linear programming approach can be used ...
A spherical code with parameter $(n, N,\gamma)$ is a set of N points on the unit sphere in $n$ dimen...
We derive universal lower bounds for the potential energy of spherical codes, that are optimal in th...
We present an extension of known semidefinite and linear programming upper bounds for spherical code...
We present an extension of known semidefinite and linear programming upper bounds for spherical code...