activity
20032023
most citedOn the efficient computation of high-order derivatives for implicitly defined functions

38 citations · 60 across the 7 of their papers we have counts for

collaborators

7 papers

math.NA2023

Experimental validation of an inverse method for defect reconstruction in a 2D waveguide model

Jannis Bulling, Benjamin Jurgelucks, Jens Prager +1

Defect reconstruction is essential in non-destructive testing and structural health monitoring with guided ultrasonic waves. This paper presents an algorithm for reconstructing not…

math.OC2023

On a Frank-Wolfe Approach for Abs-smooth Functions

Timo Kreimeier, Sebastian Pokutta, Andrea Walther +1

We propose an algorithm which appears to be the first bridge between the fields of conditional gradient methods and abs-smooth optimization. Our problem setting is motivated by var…

cs.MS2018★ 16 cited

High-level python abstractions for optimal checkpointing in inversion problems

Navjot Kukreja, Jan Hückelheim, Michael Lange +4

Inversion and PDE-constrained optimization problems often rely on solving the adjoint problem to calculate the gradient of the objec- tive function. This requires storing large amo…

cs.SC2017★ 1 cited

Compile-Time Symbolic Differentiation Using C++ Expression Templates

Drosos Kourounis, Leonidas Gergidis, Michael Saunders +2

Template metaprogramming is a popular technique for implementing compile time mechanisms for numerical computing. We demonstrate how expression templates can be used for compile ti…

math.RA2017★ 5 cited

A General Algorithm to Calculate the Inverse Principal -th Root of Symmetric Positive Definite Matrices

Dorothee Richters, Michael Lass, Andrea Walther +2

We address the general mathematical problem of computing the inverse -th root of a given matrix in an efficient way. A new method to construct iteration functions that allow cal…

hep-ph2009★ 38 cited

On the efficient computation of high-order derivatives for implicitly defined functions

Mathias Wagner, Andrea Walther, Bernd-Jochen Schaefer

Scientific studies often require the precise calculation of derivatives. In many cases an analytical calculation is not feasible and one resorts to evaluating derivatives numerical…