AbstractThis paper is devoted to the study of lower bounds on the inherent number of additions and subtractions necessary to solve some natural matrix computational tasks such as computing the nullspace, some band transformation, and some triangulation of a givenm×mmatrix. The additive complexities of such tasks are shown to grow asymptotically like that of them×mmatrix multiplication. The paper is a continuation of an earlier paper by the authors, and also of4where multiplicative complexity has been considered. We also propose a formalization of semialgebraic computational tasks
AbstractWe consider the problem of determining the fewest number of nonscalar multiplications needed...
AbstractIn this paper we survey some problems which have recently appeared in the study of the compl...
Complexity theory deals with determining when there does or does not exist a faster algorithm than t...
AbstractThis paper is devoted to the study of lower bounds on the inherent number of additions and s...
AbstractThe action of commutativity and approximation is analyzed for some problems in Computational...
We define the complexity of a computational problem given by a relation using the model of a computa...
One of the central problems of algebraic complexity theory is the complexity of multiplication in al...
Algebraic complexity theory, the study of the minimum number of operations suficient to perform alge...
In this lecture I introduce two problems in complexity: determining the complexity of matrix multipl...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
Abstract. A straight-line additive computation which computes a set SZ of linear forms can be presen...
AbstractWe consider the complexity of various computational problems over nonassociative algebraic s...
We briefly survey recent computational complexity results for certain algebraic problems that are re...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
The linear complexity of a matrix is a measure of the number of additions, subtractions, and scalar ...
AbstractWe consider the problem of determining the fewest number of nonscalar multiplications needed...
AbstractIn this paper we survey some problems which have recently appeared in the study of the compl...
Complexity theory deals with determining when there does or does not exist a faster algorithm than t...
AbstractThis paper is devoted to the study of lower bounds on the inherent number of additions and s...
AbstractThe action of commutativity and approximation is analyzed for some problems in Computational...
We define the complexity of a computational problem given by a relation using the model of a computa...
One of the central problems of algebraic complexity theory is the complexity of multiplication in al...
Algebraic complexity theory, the study of the minimum number of operations suficient to perform alge...
In this lecture I introduce two problems in complexity: determining the complexity of matrix multipl...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
Abstract. A straight-line additive computation which computes a set SZ of linear forms can be presen...
AbstractWe consider the complexity of various computational problems over nonassociative algebraic s...
We briefly survey recent computational complexity results for certain algebraic problems that are re...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
The linear complexity of a matrix is a measure of the number of additions, subtractions, and scalar ...
AbstractWe consider the problem of determining the fewest number of nonscalar multiplications needed...
AbstractIn this paper we survey some problems which have recently appeared in the study of the compl...
Complexity theory deals with determining when there does or does not exist a faster algorithm than t...