Title :
Multiway Splitting Method for Toeplitz Matrix Vector Product
Author :
Anwar Hasan, M. ; Negre, Christophe
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
Computing the product of a Toeplitz matrix and a vector arises in various applications including cryptography. In this paper, we consider Toeplitz matrices and vectors with entries in $({hbox{rlap{I}kern 2.0pt{hbox{F}}}}_2)$. For improved efficiency in such computations, large Toeplitz matrices and vectors are recursively split and special formulas with subquadratic arithmetic complexity are applied. To this end, we first present a formula for the five-way splitting and then provide a generalization for the $(k)$-way splitting, where $(k)$ is an arbitrary integer. These formulas can be used to compute a Toeplitz matrix-vector product (TMVP) of size $(n)$ with an arithmetic complexity of $(O(n^{log_k(k(k+1)/2)}))$.
Keywords :
Toeplitz matrices; computational complexity; cryptography; recursive estimation; TMVP; Toeplitz matrices; Toeplitz matrix vector product; arbitrary integer; cryptography; five-way splitting; multiway splitting method; recursively split; special formulas; subquadratic arithmetic complexity; Approximation methods; Complexity theory; Delay; Indexes; Logic gates; Strontium; Vectors; Approximation methods; Complexity theory; Delay; Indexes; Logic gates; Strontium; TMVP; Toeplitz matrices; Toeplitz matrix vector product; Vectors; arbitrary integer; computational complexity; cryptography; five-way splitting; multiway splitting method; parallel multiplier; recursive estimation; recursively split; special formulas; subquadratic arithmetic complexity; subquadratic complexity;
Journal_Title :
Computers, IEEE Transactions on