Abstract. We describe an efficient randomized algorithm to test if a given binary function is a low-degree polynomial (that is, a sum of low-degree monomials). For a ���� � given integer and a ���� � given real, � the � algorithm �� � �� � ������ � queries at � points. If is a polynomial of degree at most, the algorithm always accepts, and if the value � of has to be modified on � at � least an fraction of all inputs in order to transform it to such a polynomial, then the algorithm rejects with probability ���� � at least. Our result is essentially tight: Any algorithm degree- � for testing �������� � polynomials over must perfor
Abstract Randomized search heuristics like evolutionary algorithms and simulated annealing find many...
Randomized search heuristics like evolutionary algorithms and simulated annealing find many applica...
Abstract. We consider the problem of testing whether a given function f: Fnq → Fq is close to an n-v...
We describe an efficient randomized algorithm to test if a given binary function f : f0; 1g ! f0...
A low-degree test is a collection of simple, local rules for checking the proximity of an arbitrary ...
Before we study the derandomization of randomized algorithms, we will need some algorithms to derand...
The algebraic degree is an important parameter of Boolean functions used in cryptography. When a fun...
The definition of the class NP [Coo71, Lev73] highlights the problem of verification of proofs as on...
Given a function f mapping n-variate inputs from a nite eld F into F, we consider the task of recons...
Given a function f: F m → F over a finite field F, a low degree tester tests its proximity to an m-v...
We present a Monte Carlo algorithm for testing multivariate polynomial identities over any field usi...
NP = PCP(log n; 1) and related results crucially depend upon the close connection between the probab...
One fundamental goal of high-dimensional statistics is to detect or recover planted structure (such ...
Given a function f mapping n-variate inputs from a finite field F into F , we consider the task of r...
We construct a hitting set generator for sparse multivariate polynomials over the reals. The seed le...
Abstract Randomized search heuristics like evolutionary algorithms and simulated annealing find many...
Randomized search heuristics like evolutionary algorithms and simulated annealing find many applica...
Abstract. We consider the problem of testing whether a given function f: Fnq → Fq is close to an n-v...
We describe an efficient randomized algorithm to test if a given binary function f : f0; 1g ! f0...
A low-degree test is a collection of simple, local rules for checking the proximity of an arbitrary ...
Before we study the derandomization of randomized algorithms, we will need some algorithms to derand...
The algebraic degree is an important parameter of Boolean functions used in cryptography. When a fun...
The definition of the class NP [Coo71, Lev73] highlights the problem of verification of proofs as on...
Given a function f mapping n-variate inputs from a nite eld F into F, we consider the task of recons...
Given a function f: F m → F over a finite field F, a low degree tester tests its proximity to an m-v...
We present a Monte Carlo algorithm for testing multivariate polynomial identities over any field usi...
NP = PCP(log n; 1) and related results crucially depend upon the close connection between the probab...
One fundamental goal of high-dimensional statistics is to detect or recover planted structure (such ...
Given a function f mapping n-variate inputs from a finite field F into F , we consider the task of r...
We construct a hitting set generator for sparse multivariate polynomials over the reals. The seed le...
Abstract Randomized search heuristics like evolutionary algorithms and simulated annealing find many...
Randomized search heuristics like evolutionary algorithms and simulated annealing find many applica...
Abstract. We consider the problem of testing whether a given function f: Fnq → Fq is close to an n-v...