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In this work, we propose a method for minimizing non-convex functions with Lipschitz continuous $p$th-order derivatives, starting from $p \geq 1$. The method, however, only requires derivative information up to order $(p-1)$, since the…

Optimization and Control · Mathematics 2025-10-10 Nikita Doikov , Geovani Nunes Grapiglia

We present convergence theory for corrected quadrature rules on uniform Cartesian grids for functions with a point singularity. We begin by deriving an error estimate for the punctured trapezoidal rule, and then derive error expansions. We…

Numerical Analysis · Mathematics 2022-08-30 Federico Izzo , Olof Runborg , Richard Tsai

Recently, there has been significant progress in the development of distributed first order methods. (At least) two different types of methods, designed from very different perspectives, have been proposed that achieve both exact and linear…

Information Theory · Computer Science 2017-12-27 Dusan Jakovetic

A newly introduced method called Taylor-based Optimized Recursive Extended Exponential Smoothed Neural Networks Forecasting method is applied and extended in this study to forecast numerical values. Unlike traditional forecasting techniques…

Neural and Evolutionary Computing · Computer Science 2018-11-02 Emna Krichene , Wael Ouarda , Habib Chabchoub , Adel M. Alimi

In this work the standard kinetic theory assumption of instantaneous collisions is lifted. As a continuation of of a previous paper by Kanzler, Schmeiser, and Tora [KRM, 2024], a model for higher order non-instantaneous alignment collisions…

Analysis of PDEs · Mathematics 2025-07-03 Laura Kanzler , Carmela Moschella , Christian Schmeiser

We present in this paper a general algorithm for solving first-order formulas in particular theories called "decomposable theories". First of all, using special quantifiers, we give a formal characterization of decomposable theories and…

Logic in Computer Science · Computer Science 2007-05-23 Khalil Djelloul

Perturbation or error bounds of functions have been of great interest for a long time. If the functions are differentiable, then the mean value theorem and Taylor's theorem come handy for this purpose. While the former is useful in…

Functional Analysis · Mathematics 2017-04-04 Priyanka Grover

This paper shows a simple parameter substitution, which makes use of the reciprocal relation of typical objective functions with typical random parameters. Thereby, the accuracy of first-order probabilistic analysis improves significantly…

Methodology · Statistics 2021-05-27 Benedikt Kriegesmann , Julian K. Lüdeker

To support reasoning about properties of programs operating with boolean values one needs theorem provers to be able to natively deal with the boolean sort. This way, program properties can be translated to first-order logic and theorem…

Logic in Computer Science · Computer Science 2015-10-19 Evgenii Kotelnikov , Laura Kovács , Andrei Voronkov

We present a reduction theory for first order Lagrangian field theories which takes into account the conservation of momenta. The relation between the solutions of the original problem with a prescribed value of the momentum and the…

Mathematical Physics · Physics 2018-12-05 S. Capriotti , E. García-Toraño Andrés

We use Taylor's formula with Lagrange remainder to make a modern adaptation of Poisson's proof of a version of the fundamental theorem of calculus in the case when the integral is defined by Euler sums, that is Riemann sums with left (or…

History and Overview · Mathematics 2019-03-27 Patrik Nystedt

Incorporating a non-Euclidean variable metric to first-order algorithms is known to bring enhancement. However, due to the lack of an optimal choice, such an enhancement appears significantly underestimated. In this work, we establish a…

Optimization and Control · Mathematics 2023-11-21 Yifan Ran

A Taylor variety consists of all fixed order Taylor polynomials of rational functions, where the number of variables and degrees of numerators and denominators are fixed. In one variable, Taylor varieties are given by rank constraints on…

Algebraic Geometry · Mathematics 2023-04-04 Aldo Conca , Simone Naldi , Giorgio Ottaviani , Bernd Sturmfels

The first order form of a Maxwell theory and U(1) gauge theory in which a gauge invariant mass term appears is analyzed using the Dirac procedure. The form of the gauge transformation which leaves the action invariant is derived from the…

High Energy Physics - Theory · Physics 2015-06-03 N. Kiriushcheva , S. V. Kuzmin , D. G. C. McKeon

We present a unified framework to construct well-posed formulations for large classes of linear operator equations including elliptic, parabolic and hyperbolic partial differential equations. This general approach incorporates known weak…

Numerical Analysis · Mathematics 2025-08-08 Moritz Feuerle , Richard Löscher , Olaf Steinbach , Karsten Urban

In this paper we suggest a new algorithm for the computation of a best rank one approximation of tensors, called alternating singular value decomposition. This method is based on the computation of maximal singular values and the…

Numerical Analysis · Mathematics 2015-03-19 S. Friedland , V. Mehrmann , R. Pajarola , S. K. Suter

We study approximation by arbitrary linear combinations of $n$ translates of a single function of periodic functions. We construct some linear methods of this approximation for univariate functions in the class induced by the convolution…

Numerical Analysis · Mathematics 2021-11-05 Dinh Dũng , Vu Nhat Huy

As applications of Kadison's Pythageorean and carpenter's theorems, the Schur-Horn theorem, and Thompson's theorem, we obtain an extension of Thompsons theorem to compact operators and use these ideas to give a characterization of diagonals…

Functional Analysis · Mathematics 2018-02-28 John Jasper , Jireh Loreaux , Gary Weiss

In this chapter we give a basic overview of known results regarding Craig interpolation for first-order logic as well as for fragments of first-order logic. Our aim is to provide an entry point into the literature on interpolation theorems…

Logic in Computer Science · Computer Science 2025-10-07 Balder ten Cate , Jesse Comer

The paper proposes a linesearch for a primal-dual method. Each iteration of the linesearch requires to update only the dual (or primal) variable. For many problems, in particular for regularized least squares, the linesearch does not…

Optimization and Control · Mathematics 2018-03-26 Yura Malitsky , Thomas Pock