In this paper we describe a new technique for obtaining lower bounds onrestricted classes of non-monotone arithmetic circuits. The heart of this technique is a complexity measure for multivariate polynomials, based on the linear span of their partial derivatives. We use the technique to obtain new lower bounds for computing symmetric polynomials and iterated matrix products
AbstractExponential size lower bounds are obtained for some depth three circuits computing conjuncti...
The method of partial derivatives is one of the most successful lower bound methods for arithmetic c...
In circuit complexity, the polynomial method is a general approach to proving circuit lower bounds i...
Arithmetic Circuits compute polynomial functions over their inputs via a sequence of arithmetic oper...
AbstractWe consider monotone arithmetic circuits with restricted depths to compute monotone multivar...
We give several new lower bounds on size of homogeneous non-commutative circuits. We present an expl...
International audienceWe study the complexity of representing polynomials by arithmetic circuits in ...
We show an almost cubic lower bound on the size of any depth three arithmetic circuit computing an e...
We say that a circuit C over a field F {functionally} computes a polynomial P in F[x_1, x_2, ..., x_...
In their paper on the ''chasm at depth four'', Agrawal and Vinay have shown that polynomials in m va...
International audienceAn Algebraic Circuit for a polynomial P is a computational model for construct...
AbstractWe study a new method for proving lower bounds for subclasses of arithmetic circuits. Roughl...
Proving lower bounds for arithmetic circuits is a problem of fundamental importance in theoretical c...
AbstractIn their paper on the “chasm at depth four”, Agrawal and Vinay have shown that polynomials i...
Computational complexity theory aims to understand what problems can be efficiently solved by comput...
AbstractExponential size lower bounds are obtained for some depth three circuits computing conjuncti...
The method of partial derivatives is one of the most successful lower bound methods for arithmetic c...
In circuit complexity, the polynomial method is a general approach to proving circuit lower bounds i...
Arithmetic Circuits compute polynomial functions over their inputs via a sequence of arithmetic oper...
AbstractWe consider monotone arithmetic circuits with restricted depths to compute monotone multivar...
We give several new lower bounds on size of homogeneous non-commutative circuits. We present an expl...
International audienceWe study the complexity of representing polynomials by arithmetic circuits in ...
We show an almost cubic lower bound on the size of any depth three arithmetic circuit computing an e...
We say that a circuit C over a field F {functionally} computes a polynomial P in F[x_1, x_2, ..., x_...
In their paper on the ''chasm at depth four'', Agrawal and Vinay have shown that polynomials in m va...
International audienceAn Algebraic Circuit for a polynomial P is a computational model for construct...
AbstractWe study a new method for proving lower bounds for subclasses of arithmetic circuits. Roughl...
Proving lower bounds for arithmetic circuits is a problem of fundamental importance in theoretical c...
AbstractIn their paper on the “chasm at depth four”, Agrawal and Vinay have shown that polynomials i...
Computational complexity theory aims to understand what problems can be efficiently solved by comput...
AbstractExponential size lower bounds are obtained for some depth three circuits computing conjuncti...
The method of partial derivatives is one of the most successful lower bound methods for arithmetic c...
In circuit complexity, the polynomial method is a general approach to proving circuit lower bounds i...