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Recent theoretical work on automatic differentiation (autodiff) has focused on characteristics such as correctness and efficiency while assuming that all derivatives are automatically generated by autodiff using program transformation, with…

Programming Languages · Computer Science 2024-08-15 Sam Estep

The concept of fractional order derivative can be found in extensive range of many different subject areas. For this reason, the concept of fractional order derivative should be examined. After giving different methods mostly used in…

General Mathematics · Mathematics 2013-06-25 Ali Karci

Differentiation is a cornerstone of computing and data analysis in every discipline of science and engineering. Indeed, most fundamental physics laws are expressed as relationships between derivatives in space and time. However, derivatives…

Numerical Analysis · Mathematics 2026-03-10 Pavel Komarov , Floris van Breugel , J. Nathan Kutz

We show that any scalar differential operator with a family of polyno- mials as its common eigenfunctions leads canonically to a matrix differen- tial operator with the same property. The construction of the correspond- ing family of matrix…

Classical Analysis and ODEs · Mathematics 2008-12-31 Antonio J. Duran , F. Alberto Grünbaum

In this article we discuss an important students' misconception about derivatives, that the expression of the derivative of the function contains the information as to whether the function is differentiable or not where the expression is…

History and Overview · Mathematics 2018-05-02 Roman Kvasov

A procedure to obtain differentiation matrices is extended straightforwardly to yield new differentiation matrices useful to obtain derivatives of complex rational functions. Such matrices can be used to obtain numerical solutions of some…

Numerical Analysis · Mathematics 2007-05-23 Rafael G. Campos , Claudio Meneses

Differential operators usually result in derivatives expressed as a ratio of differentials. For all but the simplest derivatives, these ratios are typically not algebraically manipulable, but must be held together as a unit in order to…

General Mathematics · Mathematics 2022-10-18 Maria Isabelle Fite , Jonathan Bartlett

Prompted by an example related to the tensor algebra, we introduce and investigate a stronger version of the notion of separable functor that we call heavily separable. We test this notion on several functors traditionally connected to the…

Category Theory · Mathematics 2018-12-19 Alessandro Ardizzoni , Claudia Menini

We introduce a high-order numerical scheme for fractional ordinary differential equations with the Caputo derivative. The method is developed by dividing the domain into a number of subintervals, and applying the quadratic interpolation on…

Numerical Analysis · Mathematics 2020-02-25 Junying Cao , Zhenning Cai

When faced with the question of how to represent properties in a formal proof system any user has to make design decisions. We have proved three of the theorems from Maskin's 2004 survey article on Auction Theory using the Isabelle/HOL…

Logic in Computer Science · Computer Science 2014-06-04 Marco B. Caminati , Manfred Kerber , Christoph Lange , Colin Rowat

Recognizing elementary underlying concepts from observations (disentanglement) and generating novel combinations of these concepts (compositional generalization) are fundamental abilities for humans to support rapid knowledge learning and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Tao Yang , Yuwang Wang , Cuiling Lan , Yan Lu , Nanning Zheng

A new directional derivative and a new subdifferential for set-valued convex functions are constructed, and a set-valued version of the so-called 'max-formula' is proven. The new concepts are used to characterize solutions of convex…

Optimization and Control · Mathematics 2012-07-24 Andreas H. Hamel , Carola Schrage

We propose an integral representation for the higher-order Fr\'echet derivative of analytic matrix functions $f(A)$ which unifies known results for the first-order Fr\'echet derivative of general analytic matrix functions and for…

Numerical Analysis · Mathematics 2022-09-27 Marcel Schweitzer

We show that descriptive complexity's result extends in High Order Logic to capture the expressivity of Turing Machine which have a finite number of alternation and whose time or space is bounded by a finite tower of exponential. Hence we…

Logic in Computer Science · Computer Science 2014-07-16 Arthur Milchior

Universal geometric calculus simplifies and unifies the structure and notation of mathematics for all of science and engineering, and for technological applications. This paper treats the fundamentals of the multivector differential…

History and Overview · Mathematics 2013-06-11 Eckhard Hitzer

Logical relations are one of the most powerful techniques in the theory of programming languages, and have been used extensively for proving properties of a variety of higher-order calculi. However, there are properties that cannot be…

Programming Languages · Computer Science 2020-02-21 Gilles Barthe , Raphaëlle Crubillé , Ugo Dal Lago , Francesco Gavazzo

Recently, we have proposed a new diffusive representation for fractional derivatives and, based on this representation, suggested an algorithm for their numerical computation. From the construction of the algorithm, it is immediately…

Numerical Analysis · Mathematics 2022-04-12 Kai Diethelm

We demonstrate that the notions of derivative representation of a Lie algebra on a vector bundle, of semi-linear representations of a Lie group on a vector bundle, and related concepts, may be understood in terms of representations of Lie…

Differential Geometry · Mathematics 2007-05-23 Y. Kosmann-Schwarzbach , K. C. H. Mackenzie

We present a geometric interpretation of the integration-by-parts formula on an arbitrary vector bundle. As an application we give a new geometric formulation of higher-order variational calculus.

Differential Geometry · Mathematics 2015-06-04 Michał Jóźwikowski , Mikołaj Rotkiewicz

In this review we present hyper-dual numbers as a tool for the automatic differentiation of computer programs via operator overloading. We start with a motivational introduction into the ideas of algorithmic differentiation. Then we…

Mathematical Software · Computer Science 2018-01-16 Martin Neuenhofen
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