Abstract: Since the original signature model did not account for the possible threat of the forging signature attack, the majority of existing multivariate polynomial public key based signature ...
An algorithm for finding the symbolic factors of a multivariate polynomial with integer coefficients is presented. The algorithm is an extension of a technique used by Kronecker in a proof that the ...
5 Keenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital; & University of Toronto, Toronto, Ontario, Canada 6 Institute for Clinical Epidemiology and ...
When he isn’t teaching algebra at Columbia or abroad, Amadou Bah likes to soak up the cultural offerings on campus. Amadou Bah, a Ritt Assistant Professor of mathematics, was raised in Senegal and ...
Abstract: The multivariate polynomial model provides an effective way to describe complex nonlinear input-output relationships since it is tractable for optimization, sensitivity analysis, and ...
This Python-module computes generating functions for the number of some special multivariate polynomials over finite fields. The accompanying paper [GVZ13] also ...
Adaptive Online Multivariate Signal Extraction With Locally Weighted Robust Polynomial Regression...
High-frequency, multivariate data collected in real-time and used to control or make decisions regarding a process’ operation often contain some noise and outliers. Thus, a method to extract the ...
We introduce the Tensor-Based Multivariate Optimization (TeMPO) framework for use in nonlinear optimization problems commonly encountered in signal processing, machine learning, and artificial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results