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In this work, we consider rational ordinary differential equations dy/dx = Q(x,y)/P(x,y), with Q(x,y) and P(x,y) coprime polynomials with real coefficients. We give a method to construct equations of this type for which a first integral can…

Dynamical Systems · Mathematics 2017-05-18 Héctor Giacomini , Jaume Giné , Maite Grau

An algorithm for solving first order ODEs, by systematically determining symmetries of the form [ xi = F(x), eta = P(x) y + Q(x) ], where xi d/dx + eta d/dy is the symmetry generator - is presented. To these {\it linear} symmetries one can…

Mathematical Physics · Physics 2007-05-23 E. S. Cheb-Terrab , T. Kolokolnikov

We consider a class of linear ODEs of second order with variable coefficients and construct its Lie algebra of Lie group of equivalence transformations. Further we find invariants and differential invariants of this Lie algebra and by using…

Classical Analysis and ODEs · Mathematics 2010-01-19 Ivan Tsyfra , Tomasz Czyzycki

We present a novel variational quantum framework for nonlinear partial differential equation (PDE) constrained optimization problems. The proposed work extends the recently introduced bi-level variational quantum PDE constrained…

Quantum Physics · Physics 2024-10-18 Abeynaya Gnanasekaran , Amit Surana , Hongyu Zhu

We present a practical algorithm to compute models of rational functions with minimal resultant under conjugation by fractional linear transformations. We also report on a search for rational functions of degrees 2 and 3 with rational…

Number Theory · Mathematics 2019-02-20 Nils Bruin , Alexander Molnar

We introduce methods for deriving analytic solutions from differential-algebraic systems of equations (DAEs), as well as methods for deriving governing equations for analytic characterization which is currently limited to very small systems…

General Mathematics · Mathematics 2021-02-05 Samiya A Alkhairy

We consider problems with multiple linear objectives and linear constraints and use Adjustable Robust Optimization and Polynomial Optimization as tools to approximate the Pareto set with polynomials of arbitrarily large degree. The main…

Optimization and Control · Mathematics 2015-01-13 Bram L. Gorissen , Dick den Hertog

In modelling of chemical, physical or biological systems it may occur that the coefficients, multiplying various terms in the equation of interest, differ greatly in magnitude, if a particular system of units is used. Such is, for instance,…

Computational Engineering, Finance, and Science · Computer Science 2020-05-26 Simone Rusconi , Denys Dutykh , Arghir Zarnescu , Dmitri Sokolovski , Elena Akhmatskaya

We seek random versions of some classical theorems on complex approximation by polynomials and rational functions, as well as investigate properties of random compact sets in connection to complex approximation.

Complex Variables · Mathematics 2017-09-26 Simon St-Amant , Jérémie Turcotte

A novel method, connecting the space of solutions of a linear differential equation, of arbitrary order, to the space of monomials, is used for exploring the algebraic structure of the solution space. Apart from yielding new expressions for…

Mathematical Physics · Physics 2007-05-23 N. Gurappa , Prasanta K. Panigrahi , T. Shreecharan

The modelling and analysis of biological systems has deep roots in Mathematics, specifically in the field of ordinary differential equations (ODEs). Alternative approaches based on formal calculi, often derived from process algebras or term…

Programming Languages · Computer Science 2010-11-03 Mario Coppo , Ferruccio Damiani , Maurizio Drocco , Elena Grassi , Eva Sciacca , Salvatore Spinella , Angelo Troina

Algorithms for computing rational generating functions of solutions of one-dimensional difference equations are well-known and easy to implement. We propose an algorithm for computing rational generating functions of solutions of…

Combinatorics · Mathematics 2019-11-05 Alexey A. Kytmanov , Alexander P. Lyapin , Timur M. Sadykov

In this paper we propose several strategies for the exact computation of the determinant of a rational matrix. First, we use the Chinese Remaindering Theorem and the rational reconstruction to recover the rational determinant from its…

Symbolic Computation · Computer Science 2009-04-16 Anna Urbanska

Modeling dynamical systems with ordinary differential equations implies a mechanistic view of the process underlying the dynamics. However in many cases, this knowledge is not available. To overcome this issue, we introduce a general…

Machine Learning · Computer Science 2014-11-20 Markus Heinonen , Florence d'Alché-Buc

We present the new Orthogonal Polynomials Approximation Algorithm (OPAA), a parallelizable algorithm that estimates probability distributions using functional analytic approach: first, it finds a smooth functional estimate of the…

Machine Learning · Computer Science 2024-01-23 Lilian W. Bialokozowicz

Here we present a very efficient method to search for Liouvillian first integrals of second order rational ordinary differential equations (rational 2ODEs). This new algorithm can be seen as an improvement to the S-function method we have…

Mathematical Physics · Physics 2023-06-13 L. G. S. Duarte , L. A. C. P. da Mota , I. S. S. Nascimento

The estimation of distributed parameters in partial differential equations (PDE) from measures of the solution of the PDE may lead to under-determination problems. The choice of a parameterization is a usual way of adding a-priori…

Numerical Analysis · Mathematics 2008-01-16 Hend Ben Ameur , François Clément , Pierre Weis , Guy Chavent

Complex Lie point transformations are used to linearize a class of systems of second order ordinary differential equations (ODEs) which have Lie algebras of maximum dimension $d$, with $d\leq 4$. We identify such a class by employing…

Classical Analysis and ODEs · Mathematics 2015-03-23 Sajid Ali , Muhammad Safdar , Asghar Qadir

Time series alignment methods call for highly expressive, differentiable and invertible warping functions which preserve temporal topology, i.e diffeomorphisms. Diffeomorphic warping functions can be generated from the integration of…

Machine Learning · Computer Science 2022-06-17 Iñigo Martinez , Elisabeth Viles , Igor G. Olaizola

In this paper we describe an algorithm for implicitizing rational hypersurfaces in case there exists at most a finite number of base points. It is based on a technique exposed in math.AG/0210096, where implicit equations are obtained as…

Algebraic Geometry · Mathematics 2007-05-23 Laurent Buse , Marc Chardin