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We discuss the use of inequalities to obtain the solution of certain variational problems on time scales.

Optimization and Control · Mathematics 2012-11-05 Martin J. Bohner , Rui A. C. Ferreira , Delfim F. M. Torres

The calculus of finite differences is a solid foundation for the development of operations such as the derivative and the integral for infinite sequences. Here we showed a way to extend it for finite sequences. We could then define…

Discrete Mathematics · Computer Science 2018-11-06 Sérgio Martins Filho

This paper offers what seems at first to be a minor technical correction to the current practice of computing indefinite integrals, and introduces the idea of a "Kahanian constant of integration". However, the total impact of this minor…

History and Overview · Mathematics 2023-07-05 Robert M. Corless , David J. Jeffrey , David R. Stoutemyer

An efficient coordinate-free notation is elucidated for differentiating matrix expressions and other functions between higher-dimensional vector spaces. This method of differentiation is known, but not explained well, in the literature.…

History and Overview · Mathematics 2013-10-03 Jonathan H. Manton

In this paper, we introduce a new method for calculating fractional integrals and differentials. The method involves an equation that we have obtained from infinite applied integration by parts. The equation works for special class of…

General Mathematics · Mathematics 2023-09-08 Oleg Yaremko , Andrey Yachmenev

This article addresses the question of involutiveness and discusses the initial value problem for a class of overdetermined systems of partial differential equations which arise in the theory of integrable systems and are defined by…

Differential Geometry · Mathematics 2009-11-11 Emilio Musso , Lorenzo Nicolodi

A new mathematical notation is proposed for the iteration of functions. It facilitates the application of the iteration of functions in mathematical and logical expressions, definitions of sets, and formulations of algorithms. Illustrations…

Dynamical Systems · Mathematics 2012-07-03 Valerii Salov

The area of inverse problems in mathematics is highly interdisciplinary. In various fields of science, engineering, medicine, and industry, there arises a need to reconstruct information about unknown entities that cannot be directly…

Numerical Analysis · Mathematics 2024-09-17 Manabu Machida

Working with letters that represent unknown constants, i.e., parameters, has been historically challenging for students. This is an important skill for their success in many future quantitative settings, and yet it appears this topic is…

History and Overview · Mathematics 2025-10-02 Juliana Belding , Keaton Quinn

A generalization of the definition of a one-dimensional improper integral with a finite limit is presented. The new definition extends the range of valid integrals to include integrals which were previously considered to not be integrable.…

Classical Analysis and ODEs · Mathematics 2012-11-27 Michael A. Blischke

Neutrosophic Analysis is a generalization of Set Analysis, which in its turn is a generalization of Interval Analysis. Neutrosophic Precalculus is referred to indeterminate staticity, while Neutrosophic Calculus is the mathematics of…

General Mathematics · Mathematics 2015-09-28 Florentin Smarandache

A new heuristic method for the evaluation of definite integrals is presented. This method of brackets has its origin in methods developed for theevaluation of Feynman diagrams. We describe the operational rules and illustrate the method…

Mathematical Physics · Physics 2008-12-18 Ivan Gonzalez , Victor H. Moll

We present a simple yet rigorous theory of integration that is based on two axioms rather than on a construction involving Riemann sums. With several examples we demonstrate how to set up integrals in applications of calculus without using…

Classical Analysis and ODEs · Mathematics 2008-04-22 Ray Cavalcante , Todor D. Todorov

This paper discusses a new method to solve definite integrals using artificial neural networks. The objective is to build a neural network that would be a novel alternative to pre-established numerical methods and with the help of a…

Machine Learning · Computer Science 2019-04-23 Satyasaran Changdar , Snehangshu Bhattacharjee

This note addresses the input and output of intervals in the sense of interval arithmetic and interval constraints. The most obvious, and so far most widely used notation, for intervals has drawbacks that we remedy with a new notation that…

Numerical Analysis · Mathematics 2024-09-21 M. H. van Emden

We discuss alternative iteration methods for differential equations. We provide a convergence proof for exactly solvable examples and show more convenient formulas for nontrivial problems.

Mathematical Physics · Physics 2007-05-23 Paolo Amore , Hakan Ciftci , Francisco M. Fernandez

We state some elementary problems concerning the relation between difference calculus and differential calculus, and we try to convince the reader that, in spite of the simplicity of the statements, a solution of these problems would be a…

General Mathematics · Mathematics 2007-12-04 Wolfgang Bertram

This article introduces a pedagogical method for {\it solving combinatorial problems} that frequently involve structures that are unfamiliar or less familiar. Indeed, an indirect method has been proposed in order to evade any possible…

History and Overview · Mathematics 2023-02-21 Margarita Shevtsova , Alexei Kanel-Belov , Mehdi Golafshan

The influence of class orderings in the evaluation of incremental learning has received very little attention. In this paper, we investigate the impact of class orderings for incrementally learned classifiers. We propose a method to compute…

Computer Vision and Pattern Recognition · Computer Science 2020-07-08 Marc Masana , Bartłomiej Twardowski , Joost van de Weijer

How to enable learnability for new classes while keeping the capability well on old classes has been a crucial challenge for class incremental learning. Beyond the normal case, long-tail class incremental learning and few-shot class…

Machine Learning · Computer Science 2023-08-04 Yibo Yang , Haobo Yuan , Xiangtai Li , Jianlong Wu , Lefei Zhang , Zhouchen Lin , Philip Torr , Dacheng Tao , Bernard Ghanem