Ces 10 problèmes non résolus en informatique, allant de P contre NP à l'avantage quantique, portent sur la cryptographie, la ...
Mathematicians in India have borrowed a century-old family of polynomials to solve some of the most stubborn equations in ...
The application of the computational technique of polynomial approximation to problems in dynamic programming. The theoretical applicability of orthogonal polynomials is first discussed and then ...
An investigation of two polynomial approximation techniques: subregional approximation of a function by low-order Legendre polynomials over sufficiently small subdivisions of the original region of ...
A new simulator called SyQMA achieves polynomial memory usage for representing quantum states, a departure from the exponential memory typically required for classical simulation of quantum circuits.
Struggling to build Taylor polynomials or use them for approximations? This resource gives you a clear, step-by-step system to construct and apply Taylor and Maclaurin polynomials with confidence, ...
Abstract: Computations on encrypted data can, in principle, be performed using homomorphic encryption. However, due to certain limitations, only algorithms based on polynomial functions can be ...
This repository contains the figures and report for my master's disseration, Composite Polynomial Approximations to the Sign and Sqrt Functions, at the University of Oxford. Composing low-degree ...
Researchers at Institution 1 and Institution 2 have made a significant breakthrough in approximating fixed-size quantum correlations in polynomial time. Julius A. Zeiss, Gereon Kossmann, Omar Fawzi, ...
The problem of approximation to a given function, or of fitting a given set of data, where the approximating function is required to have certain of its derivatives of specified sign over the whole ...
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