Results 1 to 10 of about 3,572,424 (305)

Lebesgue functions and Lebesgue constants in polynomial interpolation [PDF]

open access: yesJournal of Inequalities and Applications, 2016
The Lebesgue constant is a valuable numerical instrument for linear interpolation because it provides a measure of how close the interpolant of a function is to the best polynomial approximant of the function.
Bayram Ali Ibrahimoglu
doaj   +5 more sources

Polynomial solutions to constant coefficient differential equations [PDF]

open access: yesTransactions of the American Mathematical Society, 1992
Let D 1 , … , D r ∈ C [ ∂ / ∂ x 1 , … , ∂ / ∂
Paul Smith, S. P. Smith
openaire   +3 more sources

Homogeneous Polynomial Solutions to Constant Coefficient PDE's

open access: yesAdvances in Mathematics, 1996
Given any field \(K\) and a polynomial \(p\in K[X]= K[X_1,\dots,X_n]\), the differential operator \(p(D)\) on \(K[X]\) is defined by substituting \(\partial/\partial x_i\) for the variable \(X_i\). For the case that \(K\) is algebraically closed for characteristic 0, and \(p\) is homogeneous, the set of homogeneous solutions of the PDE \(p(D)=0\) is ...
B. Reznick
openaire   +2 more sources

Relating polynomial time to constant depth

open access: yesTheoretical Computer Science, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Vollmer
openaire   +3 more sources

Definability by constant-depth polynomial-size circuits

open access: yesInformation and Control, 1986
A class \(\Sigma\) of \(\sigma\)-structures is called circuit definable if there is a constant-depth, polynomial-size bounded sequence \(C_1, \ldots, C_n,\ldots\) of circuits, where each \(C_n\) is symmetric and accepts a structure \(S\) on the universe \(U_n=\{0,\ldots, n-1\}\) iff \(S\in \Sigma\).
Denenberg, Larry   +2 more
openaire   +3 more sources

Constant terms in powers of a Laurent polynomial

open access: yesIndagationes Mathematicae, 1998
The following is a conjecture of O. Mathieu: Let \(K\) be a connected real compact Lie group. Let \(f\) and \(g\) be \(K\)-finite functions on \(K\). Assume for all \(n \geq 1\) that the constant term of \(f^{n}\) vanishes, i.e. \[ \int_{K} f^{n}(k) \;dk = 0 .
Duistermaat, J.J., Kallen, W. van der
openaire   +4 more sources

MOTION PLANNING BY PIECEWISE CONSTANT OR POLYNOMIAL INPUTS

open access: yesIFAC Proceedings Volumes, 1992
Abstract In this paper we present an algorithmic solution of the “Exact Motion Planning Problem” for nilpotent systems, by piecewise constant or polynomial inputs. By using an identification process, we improve here the solution earlier given by Lafferiere and Sussmann, for systems without drift. So we obtain a much smaller number of pieces (in case
G. Jacob
openaire   +2 more sources

Convergence for score-based generative modeling with polynomial complexity [PDF]

open access: yesNeural Information Processing Systems, 2022
Score-based generative modeling (SGM) is a highly successful approach for learning a probability distribution from data and generating further samples. We prove the first polynomial convergence guarantees for the core mechanic behind SGM: drawing samples
Holden Lee, Jianfeng Lu, Yixin Tan
semanticscholar   +1 more source

Learning Quantum Hamiltonians at Any Temperature in Polynomial Time [PDF]

open access: yesSymposium on the Theory of Computing, 2023
We study the problem of learning a local quantum Hamiltonian H given copies of its Gibbs state ρ = e−β H/(e−β H) at a known inverse temperature β>0. Anshu, Arunachalam, Kuwahara, and Soleimanifar gave an algorithm to learn a Hamiltonian on n qubits to ...
Ainesh Bakshi   +3 more
semanticscholar   +1 more source

Multivariate trace estimation in constant quantum depth [PDF]

open access: yesQuantum, 2022
There is a folkloric belief that a depth-Θ(m) quantum circuit is needed to estimate the trace of the product of m density matrices (i.e., a multivariate trace), a subroutine crucial to applications in condensed matter and quantum information science.
Yihui Quek, M. Wilde, Eneet Kaur
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy