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It is widely known that the lower bound for the algorithmic complexity of square matrix multiplication resorts to at least $n^2$ arithmetic operations. The justification builds upon the following reasoning: given that there are $2 n^2$…

Data Structures and Algorithms · Computer Science 2023-11-13 Hugo Daniel Macedo

We present an orthogonal matrix outer product decomposition for the fourth-order conjugate partial-symmetric (CPS) tensor and show that the greedy successive rank-one approximation (SROA) algorithm can recover this decomposition exactly.…

Numerical Analysis · Mathematics 2021-11-08 Amina Sabir , Pegnfei Huang , Qingzhi Yang

For fixed prime integer $p > 0$ we develop a notion of Bernstein-Sato polynomial for polynomials with $\mathbb{Z} / p^m$-coefficients, compatible with existing theory in the case $m = 1$. We show that the ``roots" of such polynomials are…

Commutative Algebra · Mathematics 2026-05-27 Thomas Bitoun , Eamon Quinlan-Gallego

Recently, in [Bor4], Bor proved a main theorem dealing with $|\bar{N}, p_{n}|_{k}$ summability factors of infinite series. In the present paper, we have generalized that theorem for $|A, p_{n}|_{k}$ summability method by taking normal…

Functional Analysis · Mathematics 2018-02-28 Sebnem Yildiz

We discuss a recursive family of iterative methods for the numerical approximation of roots of nonlinear functions in one variable. These methods are based on Newton-Cotes closed quadrature rules. We prove that when a quadrature rule with…

Numerical Analysis · Mathematics 2014-09-10 Mario M. Graça , Pedro M. Lima

The analytical solutions of the N-dimensional Schrodinger equation with position-dependent mass for a general class of central potentials is obtained via the series expansion method. The position-dependent mass is expanded in series about…

Quantum Physics · Physics 2007-05-23 Sameer M. Ikhdair , Ramazan Sever

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagation of error in the approximation of…

Chemical Physics · Physics 2025-06-23 Karl Pierce

Dwork's $p$-adic hypergeometric function is defined to be a ratio ${}_sF_{s-1}(t)/{}_sF_{s-1}(t^p)$ of hypergeometric power series. Dwork showed that it is a uniform limit of rational functions, and hence one can define special values on…

Number Theory · Mathematics 2020-03-09 Masanori Asakura

We give two determinantal representations for a bivariate polynomial. They may be used to compute the zeros of a system of two of these polynomials via the eigenvalues of a two-parameter eigenvalue problem. The first determinantal…

Numerical Analysis · Mathematics 2023-09-18 Bor Plestenjak , Michiel E. Hochstenbach

In this article, we describe an implementation of a polynomial system solver to compute the approximate solutions of a 0-dimensional polynomial system with finite precision p-adic arithmetic. We also describe an improvement to an algorithm…

Numerical Analysis · Mathematics 2019-07-09 Avinash Kulkarni

In this paper, an explanation of the Newton-Peiseux algorithm is given. This explanation is supplemented with well-worked and explained examples of how to use the algorithm to find fractional power series expansions for all branches of a…

Algebraic Geometry · Mathematics 2008-07-30 Nicholas J. Willis , Annie K. Didier , Kevin M. Sonnanburg

Under appropriate technical assumptions, the simple-loop theory allows to deduce various types of asymptotic expansions for the eigenvalues of Toeplitz matrices generated by a function $f$. Independently and under the milder hypothesis that…

Numerical Analysis · Mathematics 2022-01-07 M. Bogoya , S. E. Ekström , S. Serra-Capizzano

An iterative square root of a function $f$ is a function $g$ such that $g(g(\cdot))=f(\cdot)$. We obtain new characterizations for detecting the non-existence of such square roots for self-maps on arbitrary sets. This is used to prove that…

Dynamical Systems · Mathematics 2022-03-17 B V Rajarama Bhat , Chaitanya Gopalakrishna

In this paper, linearly structured partial polynomial inverse eigenvalue problem is considered for the $n\times n$ matrix polynomial of arbitrary degree $k$. Given a set of $m$ eigenpairs ($1 \leqslant m \leqslant kn$), this problem…

Numerical Analysis · Mathematics 2019-04-24 Suman Rakshit , S. R. Khare

The concept of p-ordering for a prime p was introduced by Manjul Bhargava (in his PhD thesis) to develop a generalized factorial function over an arbitrary subset of integers. This notion of p-ordering provides a representation of…

Number Theory · Mathematics 2020-11-24 Aditya Gulati , Sayak Chakrabarti , Rajat Mittal

Solving quadratic equations over finite fields is a fundamental task in algebraic coding theory and serves as a key subroutine for computing the roots of cubic and quartic polynomials. Notably, any quadratic polynomial over binary extension…

Information Theory · Computer Science 2026-04-09 Leilei Yu , Yunghsiang S. Han , Pingping Li , Jiasheng Yuan

This paper is mainly concerned with the disk of convergence of a power series s(x) representing an algebraic function of x and specifically with the relation between this disk and the branch points of the function. We shall focus especially…

Number Theory · Mathematics 2025-12-02 Francesco Veneziano , Umberto Zannier

Working over the split octonions over an algebraically closed field, we solve all polynomial equations in which all the coefficients but the constant term are scalar. As a consequence, we calculate the n-th roots of an octonion.

Rings and Algebras · Mathematics 2025-04-02 Artem Lopatin , Alexander N. Rybalov

Current state-of-the-art methods for differentially private model training are based on matrix factorization techniques. However, these methods suffer from high computational overhead because they require numerically solving a demanding…

Machine Learning · Computer Science 2025-06-16 Nikita P. Kalinin , Christoph Lampert

Let $p(x)=a_0 + a_1 x + \ldots + a_n x^n$ be a polynomial with all roots real and satisfying $x \leq -\delta$ for some $0<\delta <1$. We show that for any $0 < \epsilon <1$, the value of $p(1)$ is determined within relative error $\epsilon$…

Combinatorics · Mathematics 2018-06-21 Alexander Barvinok
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