Max Sagebaum

Chair for Scientific Computing
TU Kaiserslautern
Bldg/Geb 34, Paul-Ehrlich-Strasse
67663 Kaiserslautern, Germany

Office:  36-408
Phone: +49 (0)631 205 5638
Fax:   +49 (0)631 205 3056
Email:   max.sagebaum@scicomp.uni-kl.de

max_bild_small2

Research Interests


  • AD Tool development (CoDiPack)
  • Aerodynamic Shape Optimization
  • Numerical Approximation of Partial Differential Equations
  • Algorithmic Differentiation
  • Discrete Adjoint Methods
  • Parallel Programming

Publications

Diplomarbeit: Präkonditionierung der gekoppelten One-Shot Iteration bei Discontinuous Galerkin für Navier-Stokes

2017

J. Backhaus A. Schmitz, Frey Sagebaum Mann Nagel Gauger

Application of an Algorithmically Differentiated Turbomachinery Flow Solver to the Optimization of a Fan Stage (Article)

AIAA 2017-3997, 2017.

(BibTeX)

M. Sagebaum E. Özkaya, Gauger Backhaus Frey Mann Nagel

Efficient Algorithmic Differentiation Techniques for Turbo-machinery Design (Article)

AIAA 2017-3998, 2017.

(BibTeX)

Nørgaard,; Sagebaum,; Gauger,; Lazarov,

Applications of automatic differentiation in topology optimization (Article)

Structural and Multidisciplinary Optimization, pp. 1–12, 2017, ISSN: 1615-1488.

(Abstract | Links | BibTeX)

2016

Sagebaum,; Albring,; Gauger,

Automated Generation of Performance Values for Algorithmic Differentiation (Article)

Proc. Appl. Math. Mech., 16 (1), pp. 863–864, 2016, (DOI: 10.1002/pamm.201610420).

(BibTeX)

Albring,; Sagebaum,; Gauger,

Efficient Aerodynamic Design using the Discrete Adjoint Method in SU2 (Article)

AIAA 2016-3518, 2016.

(BibTeX)

Albring,; Sagebaum,; Gauger,

A consistent and robust discrete adjoint solver for the SU2 framework – validation and application (Article)

Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 132 pp. 77-86, 2016.

(BibTeX)

2015

Albring,; Zhou,; Gauger,; Sagebaum,

An Aerodynamic Design Framework based on Algorithmic Differentiation (Article)

ERCOFTAC Bulletin, 102 pp. 10-16, 2015.

(BibTeX)

Albring,; Sagebaum,; Gauger,

Development of a Consistent Discrete Adjoint Solver in an Evolving Aerodynamic Design Framework (Article)

AIAA 2015-3240, 2015.

(BibTeX)

2014

Albring,; Sagebaum,; Gauger,

A Consistent and Robust Discrete Adjoint Solver for the Stanford University Unstructured (SU2) Framework – Validation and Application (Article)

Jahresbericht der Deutschen Strömungsmechanischen Arbeitsgemeinschaft STAB, pp. 40–41, 2014.

(BibTeX)

Sagebaum,; Özkaya,; Gauger,

Challenges in the Automatic Differentiation of an Industrial CFD Solver (Article)

Evolutionary and Deterministic Methods for Design, Optimization, and Control with Applications to Industrial and Societal Problems, EUROGEN 2013, Universidad de Las Palmas de Gran Canaria, Spain, 2014, ISBN: 978-84-617-2141-2.

(BibTeX)

2013

Sagebaum,; Gauger,; Naumann,; Lotz,; Leppkes,

Algorithmic Differentiation of a Complex C++ Code with Underlying Libraries (Article)

Procedia Computer Science, 18 pp. 208–217, 2013.

(BibTeX)

Lotz,; Naumann,; Sagebaum,; Schanen,

Discrete Adjoints of PETSc through dco/c++ and Adjoint MPI (Article)

8097 pp. 497-507, 2013, ISBN: 978-3-642-40046-9.

(Links | BibTeX)