AbstractDimitri Grigoriev has shown that for any family of N vectors in the d-dimensional linear space E=(F2)d, there exists a vector in E which is orthogonal to at least N/3 and at most 2N/3 vectors of the family. We show that the range [N/3,2N/3] can be replaced by the much smaller range [N/2-N/2,N/2+N/2] and we give an efficient, deterministic parallel algorithm which finds a vector achieving this bound. The optimality of the bound is also investigated
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
© Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) g...
AbstractIn the construction of sets of orthogonal Latin hypercubes and in the study of finite projec...
13 pagesDimitri Grigoriev has shown that for any family of N vectors in the d-dimensional linear spa...
Dimitri Grigoriev has shown that for any family of N vectors in the ddimensionallinear space E = (F2...
Abstract. Let n ≥ 3 be an integer, let Vn(2) denote the vector space of dimension n over GF (2), and...
The Orthogonal Vectors problem (OV) asks: given n vectors in {0, 1}O(log n), are two of them orthogo...
AbstractWe consider the problem of constructing an optimal set of orthogonal vectors from a given se...
Two transformations are proposed that give orthogonal components with a one-to-one correspondence be...
The problem of optimal approximation of members of a vector space by a linear combination of members...
For an integer d ≥ 1, let τ(d) be the smallest integer with the following property: If v1,v2,...,vt ...
On orthogonal matrices with constant diagonal In connection with the problem of finding the best pro...
A maximal vector of a set is one which is not less than any other vector in all components. We deriv...
AbstractIn connection with the problem of finding the best projections of k-dimensional spaces embed...
This project includes an exposition of the paper Spherical Codes and Designs and it\u27s applicati...
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
© Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) g...
AbstractIn the construction of sets of orthogonal Latin hypercubes and in the study of finite projec...
13 pagesDimitri Grigoriev has shown that for any family of N vectors in the d-dimensional linear spa...
Dimitri Grigoriev has shown that for any family of N vectors in the ddimensionallinear space E = (F2...
Abstract. Let n ≥ 3 be an integer, let Vn(2) denote the vector space of dimension n over GF (2), and...
The Orthogonal Vectors problem (OV) asks: given n vectors in {0, 1}O(log n), are two of them orthogo...
AbstractWe consider the problem of constructing an optimal set of orthogonal vectors from a given se...
Two transformations are proposed that give orthogonal components with a one-to-one correspondence be...
The problem of optimal approximation of members of a vector space by a linear combination of members...
For an integer d ≥ 1, let τ(d) be the smallest integer with the following property: If v1,v2,...,vt ...
On orthogonal matrices with constant diagonal In connection with the problem of finding the best pro...
A maximal vector of a set is one which is not less than any other vector in all components. We deriv...
AbstractIn connection with the problem of finding the best projections of k-dimensional spaces embed...
This project includes an exposition of the paper Spherical Codes and Designs and it\u27s applicati...
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
© Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) g...
AbstractIn the construction of sets of orthogonal Latin hypercubes and in the study of finite projec...