English
Related papers

Related papers: Polynomial Interpolation and Identity Testing from…

200 papers

Given $E_0, E_1, F_0, F_1, E$ rearrangement invariant function spaces, $a_0$, $a_1$, $b_0$, $b_1$, $b$ slowly varying functions and $0< \theta_0<\theta_1<1$, we characterize the interpolation spaces $$(\overline{X}^{\mathcal…

Functional Analysis · Mathematics 2021-03-17 Pedro Fernández-Martínez , Teresa M. Signes

Inverse Vandermonde matrix calculation is a long-standing problem to solve nonsingular linear system $Vc=b$ where the rows of a square matrix $V$ are constructed by progression of the power polynomials. It has many applications in…

Numerical Analysis · Mathematics 2019-09-19 Mahdi S. Hosseini , Alfred Chen , Konstantinos N. Plataniotis

A polynomial identity testing algorithm must determine whether an input polynomial (given for instance by an arithmetic circuit) is identically equal to 0. In this paper, we show that a deterministic black-box identity testing algorithm for…

Computational Complexity · Computer Science 2010-08-02 Pascal Koiran

The scheme of divided differences is widely used in many approximation and interpolation problems. Computing the Newton coefficients of the interpolating polynomial is the first step of the Bj\"{o}rck and Pereyra algorithm for solving…

Numerical Analysis · Mathematics 2007-05-23 Alicja Smoktunowicz , Przemyslaw Kosowski , Iwona Wrobel

In this paper, a new reduction based interpolation algorithm for black-box multivariate polynomials over finite fields is given. The method is based on two main ingredients. A new Monte Carlo method is given to reduce black-box multivariate…

Symbolic Computation · Computer Science 2018-07-18 Qiao-Long Huang , Xiao-Shan Gao

We consider the problem of finding a sparse multiple of a polynomial. Given f in F[x] of degree d over a field F, and a desired sparsity t, our goal is to determine if there exists a multiple h in F[x] of f such that h has at most t…

Symbolic Computation · Computer Science 2011-01-04 Mark Giesbrecht , Daniel S. Roche , Hrushikesh Tilak

We show that a recent interpolative new proof of the Bohnenblust--Hille inequality, when suitably handled, recovers its best known constants. This seems to be unexpectedly surprising since the known interpolative approaches only provide…

Functional Analysis · Mathematics 2013-10-14 Daniel Pellegrino , Juan B. Seoane-Sepúlveda

We study how the choices made when designing an oracle affect the complexity of quantum property testing problems defined relative to this oracle. We encode a regular graph of even degree as an invertible function $f$, and present $f$ in…

Quantum Physics · Physics 2023-11-23 Roozbeh Bassirian , Bill Fefferman , Kunal Marwaha

Solving non-linear Diophantine systems lies at the mathematical core of integer optimization and cryptography. While the general unbounded problem is undecidable, even over bounded integer domains it remains classically intractable in the…

Quantum Physics · Physics 2026-05-22 Gabriel Escrig , M. A. Martin-Delgado

We present an algorithm to determine the Galois group of an irreducible monic polynomial $f(x) \in \mathbb{Z}[x]$ of degree at most five. Following work of Conrad, Dummit, and Stauduhar this comes down to answering two questions: Is a given…

Number Theory · Mathematics 2025-08-28 Thomas W. Mattman , Dylan Robertson-Figaniak , Zoe Steele

We consider the cyclotomic identity testing (CIT) problem: given a polynomial $f(x_1,\ldots,x_k)$, decide whether $f(\zeta_n^{e_1},\ldots,\zeta_n^{e_k})$ is zero, where $\zeta_n = e^{2\pi i/n}$ is a primitive complex $n$-th root of unity…

Computational Complexity · Computer Science 2021-05-05 Nikhil Balaji , Sylvain Perifel , Mahsa Shirmohammadi , James Worrell

Proving linear inequalities and identities of Shannon's information measures, possibly with linear constraints on the information measures, is an important problem in information theory. For this purpose, ITIP and other variant algorithms…

Information Theory · Computer Science 2022-02-08 Laigang Guo , Raymond W. Yeung , Xiao-Shan Gao

This article presents a high-order accurate numerical method for the evaluation of singular volume integral operators, with attention focused on operators associated with the Poisson and Helmholtz equations in two dimensions. Following the…

Numerical Analysis · Mathematics 2024-05-24 Thomas G. Anderson , Marc Bonnet , Luiz M. Faria , Carlos Pérez-Arancibia

The application of error-free transformation (EFT) is recently being developed to solve ill-conditioned problems. It can reduce the number of arithmetic operations required, compared with multiple precision arithmetic, and also be applied…

Numerical Analysis · Mathematics 2019-10-24 Tomonori Kouya

We describe a strategy for solving nonlinear eigenproblems numerically. Our approach is based on the approximation of a vector-valued function, defined as solution of a non-homogeneous version of the eigenproblem. This approximation step is…

Numerical Analysis · Mathematics 2023-12-06 Davide Pradovera

Given a collection $\{Z_1,Z_2,\ldots,Z_m\}$ of $n$-sided polygons in the plane and a query polygon $W$ we give algorithms to find all $Z_\ell$ such that $W=f(Z_\ell)$ with $f$ an unknown similarity transformation in time independent of the…

Computer Vision and Pattern Recognition · Computer Science 2013-04-19 Edgar Chávez , Ana C. Chávez-Cáliz , Jorge L. López-López

For a polynomial $f(X)=AX^d+C \in \mathbb{F}_p[X]$ with $A\neq 0$ and $d\geq 2$, we prove that if $d\;|\;p-1$ and $f^i(0)\neq f^j(0)$ for $0\leq i<j\leq N$, then $\#f^N(\mathbb{F}_p) \sim \frac{2p}{(d-1)N},$ where $f^N$ is the $N$-th…

Number Theory · Mathematics 2020-10-29 Rufei Ren

In recent years important progress has been achieved towards proving the validity of the replica predictions for the (asymptotic) mutual information (or "free energy") in Bayesian inference problems. The proof techniques that have emerged…

Information Theory · Computer Science 2018-10-30 Jean Barbier , Nicolas Macris

Three symbolic algorithms for testing the integrability of polynomial systems of partial differential and differential-difference equations are presented. The first algorithm is the well-known Painlev\'e test, which is applicable to…

solv-int · Physics 2009-10-31 Willy Hereman , Unal Goktas , Michael D. Colagrosso , Antonio J. Miller

We examine the necessity of interpolation in overparameterized models, that is, when achieving optimal predictive risk in machine learning problems requires (nearly) interpolating the training data. In particular, we consider simple…

Machine Learning · Statistics 2022-06-17 Chen Cheng , John Duchi , Rohith Kuditipudi