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Many problems are governed by differential equations (DEs). Artificial intelligence (AI) is a new path for solving DEs. However, data is very scarce and existing AI solvers struggle with approximation of high frequency components (AHFC). We…

Machine Learning · Computer Science 2025-08-01 Xiangshu Gong , Zhiqiang Xie , Xiaowei Jin , Chen Wang , Yanling Qu , Wangmeng Zuo , Hui Li

Bilevel optimization has been widely applied in many important machine learning applications such as hyperparameter optimization and meta-learning. Recently, several momentum-based algorithms have been proposed to solve bilevel optimization…

Machine Learning · Computer Science 2021-12-17 Junjie Yang , Kaiyi Ji , Yingbin Liang

We present in this paper two different classes of general $K$-splitting algorithms for solving finite-dimensional convex optimization problems. Under the assumption that the function being minimized has a Lipschitz continuous gradient, we…

Optimization and Control · Mathematics 2015-03-13 Donald Goldfarb , Shiqian Ma

Taylor series methods show a newfound promise for the solution of non-stiff ordinary differential equations (ODEs) given the rise of new compiler-enhanced techniques for calculating high order derivatives. In this paper we detail a new…

Numerical Analysis · Mathematics 2026-02-20 Songchen Tan , Oscar Smith , Christopher Rackauckas

We present two variations of Duval's algorithm for computing the Lyndon factorization of a word. The first algorithm is designed for the case of small alphabets and is able to skip a significant portion of the characters of the string, for…

Data Structures and Algorithms · Computer Science 2014-07-14 Sukhpal Singh Ghuman , Emanuele Giaquinta , Jorma Tarhio

Shor's factoring algorithm (SFA), by its ability to efficiently factor large numbers, has the potential to undermine contemporary encryption. At its heart is a process called order finding, which quantum mechanics lets us perform…

Quantum Physics · Physics 2017-03-03 Frédéric Grosshans , Thomas Lawson , François Morain , Benjamin Smith

We propose new algorithms for the computation of the first N terms of a vector (resp. a basis) of power series solutions of a linear system of differential equations at an ordinary point, using a number of arithmetic operations which is…

Symbolic Computation · Computer Science 2008-05-05 Alin Bostan , Frédéric Chyzak , François Ollivier , Bruno Salvy , Éric Schost , Alexandre Sedoglavic

We develop and compare two algorithms for computing first-order right-hand factors in the ring of linear Mahler operators$\ell_r M^r + \dots + \ell_1 M + \ell_0$where $\ell_0, \dots, \ell_r$ are polynomials in~$x$ and $Mx = x^b M$ for some…

Symbolic Computation · Computer Science 2025-11-04 Frédéric Chyzak , Thomas Dreyfus , Philippe Dumas , Marc Mezzarobba

Spherical Gauss-Laguerre (SGL) basis functions, i.e., normalized functions of the type $L_{n-l-1}^{(l + 1/2)} (r^2) r^{l} Y_{lm}(\vartheta,\varphi)$, $|m| \leq l < n \in \mathbb{N}$, $L_{n-l-1}^{(l + 1/2)}$ being a generalized Laguerre…

Numerical Analysis · Mathematics 2016-12-01 Jürgen Prestin , Christian Wülker

Many problems in applied mathematics require root finding algorithms. Unfortunately, root finding methods have limitations. Firstly, regarding the convergence, there is a trade-off between the size of it's domain and it's rate. Secondly the…

Numerical Analysis · Mathematics 2023-09-06 Komi Agbalenyo , Vincent Cailliez , Jonathan Cailliez

Finite-sum optimization problems are ubiquitous in machine learning, and are commonly solved using first-order methods which rely on gradient computations. Recently, there has been growing interest in \emph{second-order} methods, which rely…

Optimization and Control · Mathematics 2017-03-09 Yossi Arjevani , Ohad Shamir

Recently, the numerical schemes of the Fokker-Planck equations describing anomalous diffusion with two internal states have been proposed in [Nie, Sun and Deng, arXiv: 1811.04723], which use convolution quadrature to approximate the…

Numerical Analysis · Mathematics 2024-12-20 Jing Sun , Daxin Nie , Weihua Deng

Continuing our study on the complete integrability of nonlinear ordinary differential equations, in this paper we consider the integrability of a system of coupled first order nonlinear ordinary differential equations (ODEs) of both…

Exactly Solvable and Integrable Systems · Physics 2009-11-13 V. K. Chandrasekar , M. Senthilvelan , M. Lakshmanan

We propose an algebraic geometric approach for studying rational solutions of first-order algebraic ordinary difference equations. For an autonomous first-order algebraic ordinary difference equations, we give an upper bound for the degrees…

Symbolic Computation · Computer Science 2019-02-05 Thieu N. Vo , Yi Zhang

We provide the details of an implementation of Fourier techniques for solving second-order linear partial differential equations (with constant coefficients) using a computer algebra system. The general Sturm-Liouville problem for the heat,…

Numerical Analysis · Mathematics 2026-04-28 Emmanuel Roque , José A Vallejo

We describe the second order ODE's cubic in the first order derivative with 2-dimensional symmetry algebra. We show that there exist only eight different types of them. We also construct the easily verifiable Equivalence Criterion for every…

Classical Analysis and ODEs · Mathematics 2013-07-15 Vera V. Kartak

We present a new algorithm for the 2D Sliding Window Discrete Fourier Transform (SWDFT). Our algorithm avoids repeating calculations in overlapping windows by storing them in a tree data-structure based on the ideas of the Cooley- Tukey…

Data Structures and Algorithms · Computer Science 2019-03-01 Lee F. Richardson , William F. Eddy

The paper studies integral functionals with non-smooth functions from L_2 defined on solutions of ODEs. Some regularity is obtained in the form of estimates of L_2-norm for these functionals. This result is used for regularization of…

Optimization and Control · Mathematics 2010-11-01 Nikolai Dokuchaev

This paper provides a new approach to derive various arbitrary high order finite difference formulae for the numerical differentiation of analytic functions. In this approach, various first and second order formulae for the numerical…

Numerical Analysis · Mathematics 2020-05-26 Saint-Cyr E. R. Koyaguerebo-Imé , Yves Bourgault

An algorithm for a family of self-starting high-order implicit time integration schemes with controllable numerical dissipation is proposed for both linear and nonlinear transient problems. This work builds on the previous works of the…

Numerical Analysis · Mathematics 2024-09-23 Daniel O'Shea , Xiaoran Zhang , Shayan Mohammadian , Chongmin Song
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