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Integral reduction with Kira 2.0 and finite field methods
J Klappert, F Lange, P Maierhöfer… - Computer Physics …, 2021 - Elsevier
We present the new version 2.0 of the Feynman integral reduction program Kira and
describe the new features. The primary new feature is the reconstruction of the final …
describe the new features. The primary new feature is the reconstruction of the final …
Interpolation of dense and sparse rational functions and other improvements in FireFly
J Klappert, SY Klein, F Lange - Computer Physics Communications, 2021 - Elsevier
We present the main improvements and new features in version 2.0 of the open-source C++
library FireFly for the interpolation of rational functions. This includes algorithmic …
library FireFly for the interpolation of rational functions. This includes algorithmic …
On the complexity of computing determinants
E Kaltofen, G Villard - Computational complexity, 2005 - Springer
We present new baby steps/giant steps algorithms of asymptotically fast running time for
dense matrix problems. Our algorithms compute the determinant, characteristic polynomial …
dense matrix problems. Our algorithms compute the determinant, characteristic polynomial …
Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space
A bstract We introduce an algebro-geometrically motived integration-by-parts (IBP) re-
duction method for multi-loop and multi-scale Feynman integrals, using a framework for …
duction method for multi-loop and multi-scale Feynman integrals, using a framework for …
Balancing act: Multivariate rational reconstruction for IBP
AV Belitsky, AV Smirnov, RV Yakovlev - Nuclear Physics B, 2023 - Elsevier
We address the problem of unambiguous reconstruction of rational functions of many
variables. This is particularly relevant for recovery of exact expansion coefficients in …
variables. This is particularly relevant for recovery of exact expansion coefficients in …
[HTML][HTML] Early termination in sparse interpolation algorithms
A probabilistic strategy, early termination, enables different interpolation algorithms to adapt
to the degree or the number of terms in the target polynomial when neither is supplied in the …
to the degree or the number of terms in the target polynomial when neither is supplied in the …
Computing simplicial homology based on efficient Smith normal form algorithms
JG Dumas, F Heckenbach, D Saunders… - Algebra, Geometry and …, 2003 - Springer
We recall that the calculation of homology with integer coefficients of a simplicial complex
reduces to the calculation of the Smith Normal Form of the boundary matrices which in …
reduces to the calculation of the Smith Normal Form of the boundary matrices which in …
On efficient sparse integer matrix Smith normal form computations
We present a new algorithm to compute the Integer Smith normal form of large sparse
matrices. We reduce the computation of the Smith form to independent, and therefore …
matrices. We reduce the computation of the Smith form to independent, and therefore …
LinBox: A generic library for exact linear algebra
Black box techniques¹2 are enabling exact linear algebra computations of a scale well
beyond anything previously possible. The development of new and interesting algorithms …
beyond anything previously possible. The development of new and interesting algorithms …
Sparse interpolation of multivariate rational functions
Consider the black box interpolation of a τ-sparse, n-variate rational function f, where τ is the
maximum number of terms in either numerator or denominator. When numerator and …
maximum number of terms in either numerator or denominator. When numerator and …