Results 331 to 340 of about 3,729,724 (366)

‘‘Polynomial constants’’ for the quantized NLS equation

Journal of Mathematical Physics, 1984
The classical nonlinear Schrödinger equation (NLS) is known to have an infinite number of polynomial constants. While recursion relations to compute these are available, no general expressions in terms of the fields have been found. However, general expressions have been obtained in terms of the reflection coefficients. When we turn to the quantum case
openaire   +1 more source

A Rank-Invariant Method of Linear and Polynomial Regression Analysis

, 1992
H. Theil
semanticscholar   +1 more source

Taylor polynomial solution of hyperbolic type partial differential equations with constant coefficients

International Journal of Computational Mathematics, 2011
Berna Bülbül, M. Sezer
semanticscholar   +1 more source

Orthogonal polynomials without constant term

Annals of the Institute of Statistical Mathematics, 1959
Sibuya, Masaaki, Haga, Toshiro
openaire   +2 more sources

Derandomizing Polynomial Identity Testing for Multilinear Constant-Read Formulae

2011 IEEE 26th Annual Conference on Computational Complexity, 2011
Matthew W. Anderson, D. Melkebeek, Ilya Volkovich   +2 more
semanticscholar   +1 more source

Exceptional points in lossy media lead to deep polynomial wave penetration with spatially uniform power loss

Nature Nanotechnology, 2022
Alexander Yulaev, Sangsik Kim, Qing Li
exaly  

Polynomial Formal Verification exploiting Constant Cutwidth

Proceedings of the 34th International Workshop on Rapid System Prototyping, 2023
Mohamed Nadeem, Jan Kleinekathofer, Rolf Drechsler   +2 more
openaire   +1 more source

The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase

IEEE Transactions on Signal Processing, 1991
S. Peleg, B. Porat
semanticscholar   +1 more source

Comments on "The Cramer-Rao lower bounds for signals with constant amplitude and polynomial phase"

IEEE Transactions on Signal Processing, 1998
B. Ristic, B. Boashash
semanticscholar   +1 more source

Simple Local Polynomial Density Estimators

Journal of the American Statistical Association, 2020
Matias D Cattaneo, Michael Jansson
exaly