English
Related papers

Related papers: Towards Optimal Depth-Reductions for Algebraic For…

200 papers

We consider a generalization of polynomial programs: algebraic programs, which are optimization or feasibility problems with algebraic objectives or constraints. Algebraic functions are defined as zeros of multivariate polynomials. They are…

Optimization and Control · Mathematics 2025-02-13 Muhammad Maaz , Adam W. Strzeboński

Juedes and Lutz (1995) proved a small span theorem for polynomial-time many-one reductions in exponential time. This result says that for language A decidable in exponential time, either the class of languages reducible to A (the lower…

Computational Complexity · Computer Science 2007-05-23 John M. Hitchcock

In this paper we improve the lower bound of Chatterjee et al.\ (ECCC 2019) to an $\Omega(n^2)$ lower bound for unlayered Algebraic Branching Programs. We also study the impact layerization has on Algebraic Branching Programs. We exhibit a…

Computational Complexity · Computer Science 2020-09-18 Christian Engels

Let $\mathrm{R}$ be a real closed field. The problem of obtaining tight bounds on the Betti numbers of semi-algebraic subsets of $\mathrm{R}^k$ in terms of the number and degrees of the defining polynomials has been an important problem in…

Algebraic Geometry · Mathematics 2016-10-06 Saugata Basu , Cordian Riener

One question that we investigate in this paper is, how can we build log-concave polynomials using sparse polynomials as building blocks? More precisely, let $f = \sum\_{i = 0}^d a\_i X^i \in \mathbb{R}^+[X]$ be a polynomial satisfying the…

Computational Complexity · Computer Science 2017-01-17 Ignacio García-Marco , Pascal Koiran , Sébastien Tavenas

In 1979 Valiant showed that the complexity class VP_e of families with polynomially bounded formula size is contained in the class VP_s of families that have algebraic branching programs (ABPs) of polynomially bounded size. Motivated by the…

Computational Complexity · Computer Science 2017-05-26 Karl Bringmann , Christian Ikenmeyer , Jeroen Zuiddam

We study the relations between the notions of highness, lowness and logical depth in the setting of complexity theory. We introduce a new notion of polylog depth based on time bounded Kolmogorov complexity. We show polylog depth satisfies…

Computational Complexity · Computer Science 2019-10-16 Philippe Moser

We study the power of negation in the Boolean and algebraic settings and show the following results. * We construct a family of polynomials $P_n$ in $n$ variables, all of whose monomials have positive coefficients, such that $P_n$ can be…

Computational Complexity · Computer Science 2025-12-23 Bruno Cavalar , Théo Borém Fabris , Partha Mukhopadhyay , Srikanth Srinivasan , Amir Yehudayoff

It is not surprising that one should expect that the degree of constrained (shape preserving) approximation be worse than the degree of unconstrained approximation. However, it turns out that, in certain cases, these degrees are the same.…

Classical Analysis and ODEs · Mathematics 2019-01-15 K. A. Kopotun , D. Leviatan , I. A. Shevchuk

The determinant can be computed by classical circuits of depth $O(\log^2 n)$, and therefore it can also be computed in classical space $O(\log^2 n)$. Recent progress by Ta-Shma [Ta13] implies a method to approximate the determinant of…

Data Structures and Algorithms · Computer Science 2019-12-10 Enric Boix-Adserà , Lior Eldar , Saeed Mehraban

In this paper, we study the structure of set-multilinear arithmetic circuits and set-multilinear branching programs with the aim of showing lower bound results. We define some natural restrictions of these models for which we are able to…

Computational Complexity · Computer Science 2015-11-10 V. Arvind , S. Raja

The integrability problem of rational first-order ODEs $y^{\prime}=\frac{M(x,y)}{N(x,y)}$, where $M,N \in \mathbb{R}[x,y]$ is a long-term research focus in the area of dynamical systems, physics, etc. Although the computer algebra system…

Symbolic Computation · Computer Science 2025-07-04 Shaoxuan Huang

We consider the following basic problem: given an $n$-variate degree-$d$ homogeneous polynomial $f$ with real coefficients, compute a unit vector $x \in \mathbb{R}^n$ that maximizes $|f(x)|$. Besides its fundamental nature, this problem…

Data Structures and Algorithms · Computer Science 2017-04-25 Vijay Bhattiprolu , Mrinalkanti Ghosh , Venkatesan Guruswami , Euiwoong Lee , Madhur Tulsiani

In this paper, we show exponential lower bounds for the class of homogeneous depth-$5$ circuits over all small finite fields. More formally, we show that there is an explicit family $\{P_d : d \in \mathbb{N}\}$ of polynomials in…

Computational Complexity · Computer Science 2015-07-02 Mrinal Kumar , Ramprasad Saptharishi

Let $P$ be a set of $n$ points in $\R^d$. We present a linear-size data structure for answering range queries on $P$ with constant-complexity semialgebraic sets as ranges, in time close to $O(n^{1-1/d})$. It essentially matches the…

Computational Geometry · Computer Science 2015-03-20 Pankaj K. Agarwal , Jiri Matousek , Micha Sharir

We consider polynomials that are orthogonal over an analytic Jordan curve L with respect to a positive analytic weight, and show that each such polynomial of sufficiently large degree can be expanded in a series of certain integral…

Classical Analysis and ODEs · Mathematics 2009-03-19 Erwin Miña-Díaz

We analyze the Fourier growth, i.e. the $L_1$ Fourier weight at level $k$ (denoted $L_{1,k}$), of various well-studied classes of "structured" $\mathbb{F}_2$-polynomials. This study is motivated by applications in pseudorandomness, in…

Computational Complexity · Computer Science 2024-10-15 Jarosław Błasiok , Peter Ivanov , Yaonan Jin , Chin Ho Lee , Rocco A. Servedio , Emanuele Viola

There has been a lot of interest recently in proving lower bounds on the size of linear programs needed to represent a given polytope P. In a breakthrough paper Fiorini et al. [Proceedings of 44th ACM Symposium on Theory of Computing 2012,…

Optimization and Control · Mathematics 2013-11-12 Hamza Fawzi , Pablo A. Parrilo

Newton iteration (NI) is an almost 350 years old recursive formula that approximates a simple root of a polynomial quite rapidly. We generalize it to a matrix recurrence (allRootsNI) that approximates all the roots simultaneously. In this…

Computational Complexity · Computer Science 2017-10-10 Pranjal Dutta , Nitin Saxena , Amit Sinhababu

One of the major open problems in complexity theory is to demonstrate an explicit function which requires super logarithmic depth, a.k.a, the $\mathbf{P}$ versus $\mathbf{NC^1}$ problem. The current best depth lower bound is $(3-o(1))\cdot…

Computational Complexity · Computer Science 2024-04-25 Hao Wu
‹ Prev 1 4 5 6 7 8 10 Next ›