Michael Stingl

According to our database, Michael Stingl authored at least 33 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Loraine - an interior-point solver for low-rank semidefinite programming.

Soodeh Habibi, Michal Kocvara, Michael Stingl

Optim. Methods Softw., November, 2024

Correction to: The continuous stochastic gradient method: part II-application and numerics.

Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein

Comput. Optim. Appl., April, 2024

The continuous stochastic gradient method: part II-application and numerics.

Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein

Comput. Optim. Appl., April, 2024

The continuous stochastic gradient method: part I-convergence theory.

Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein

Comput. Optim. Appl., April, 2024

Quality control in particle precipitation via robust optimization.

Martina Kuchlbauer, Jana Dienstbier, Adeel Muneer, Hanna Hedges, Michael Stingl, Frauke Liers, Lukas Pflug

Comput. Chem. Eng., 2024

2023

Using <i>OpenBIS</i> as Virtual Research Environment: An ELN-LIMS Open-Source Database Tool as a Framework within the <i>CRC 1411 Design of Particulate Products</i>.

Fabian Plass, Silvan Englisch, Benjamin Apeleo Zubiri, Lukas Pflug, Erdmann Spiecker, Michael Stingl

Data Sci. J., January, 2023

Two-Scale Optimization of Graded Lattice Structures respecting Buckling on Micro- and Macroscale.

Daniel Hübner, Fabian Wein, Michael Stingl

CoRR, 2023

Efficient and accurate separable models for discrete material optimization: A continuous perspective.

Peter Gangl, Nico Nees, Michael Stingl

CoRR, 2023

A Sequential Global Programming Approach for Two-scale Optimization of Homogenized Multiphysics Problems with Application to Biot Porous Media.

Bich Ngoc Vu, Vladimír Lukes, Michael Stingl, Eduard Rohan

CoRR, 2023

2022

Outer Approximation for Mixed-Integer Nonlinear Robust Optimization.

Martina Kuchlbauer, Frauke Liers, Michael Stingl

J. Optim. Theory Appl., 2022

Adaptive Bundle Methods for Nonlinear Robust Optimization.

Martina Kuchlbauer, Frauke Liers, Michael Stingl

INFORMS J. Comput., 2022

Towards the Solution of Robust Gas Network Optimization Problems Using the Constrained Active Signature Method.

Timo Kreimeier, Martina Kuchlbauer, Frauke Liers, Michael Stingl, Andrea Walther

Proceedings of the 10th International Network Optimization Conference, 2022

2021

Barrier and penalty methods for low-rank semidefinite programming with application to truss topology design.

Soodeh Habibi, Arefeh Kavand, Michal Kocvara, Michael Stingl

CoRR, 2021

Two-Scale Optimization and Generation of Anisotropic Cellular Designs in the Context of Additive Manufacturing.

Bich Ngoc Vu, Fabian Wein, Michael Stingl

Comput. Aided Des., 2021

2020

Gradient-Based Two-Scale Topology Optimization With B-Splines on Sparse Grids.

Julian Valentin, Daniel Hübner, Michael Stingl, Dirk Pflüger

SIAM J. Sci. Comput., 2020

eMoM: Exact method of moments - Nucleation and size dependent growth of nanoparticles.

Lukas Pflug, Tobias Schikarski, Alexander Keimer, Wolfgang Peukert, Michael Stingl

Comput. Chem. Eng., 2020

2019

Decomposable robust two-stage optimization: An application to gas network operations under uncertainty.

Denis Aßmann, Frauke Liers, Michael Stingl

Networks, 2019

Topology optimization of unsaturated flows in multi-material porous media: Application to a simple diaper model.

Fabian Wein, Nan Chen, Naveed Iqbal, Michael Stingl, Marc Avila

Commun. Nonlinear Sci. Numer. Simul., 2019

2018

Material Optimization in Transverse Electromagnetic Scattering Applications.

Johannes Semmler, Lukas Pflug, Michael Stingl

SIAM J. Sci. Comput., 2018

Deciding Robust Feasibility and Infeasibility Using a Set Containment Approach: An Application to Stationary Passive Gas Network Operations.

Denis Aßmann, Frauke Liers, Michael Stingl, Juan C. Vera

SIAM J. Optim., 2018

2013

Simultaneous Material and Topology Optimization Based on Topological Derivatives.

Jannis Greifenstein, Michael Stingl

Proceedings of the System Modeling and Optimization, 2013

2012

Efficient Two-Scale Optimization of Manufacturable Graded Structures.

Fabian Schury, Michael Stingl, Fabian Wein

SIAM J. Sci. Comput., 2012

The Eshelby Theorem and Application to the Optimization of an Elastic Patch.

Günter Leugering, Serguei A. Nazarov, Fabian Schury, Michael Stingl

SIAM J. Appl. Math., 2012

Optimal Design of Brittle Composite Materials: a Nonsmooth Approach.

Marina Prechtel, Günter Leugering, Paul Steinmann, Michael Stingl

J. Optim. Theory Appl., 2012

2010

Multidisciplinary Free Material Optimization.

Jaroslav Haslinger, Michal Kocvara, Günter Leugering, Michael Stingl

SIAM J. Appl. Math., 2010

2009

Free Material Optimization with Fundamental Eigenfrequency Constraints.

Michael Stingl, Michal Kocvara, Günter Leugering

SIAM J. Optim., 2009

A Sequential Convex Semidefinite Programming Algorithm with an Application to Multiple-Load Free Material Optimization.

Michael Stingl, Michal Kocvara, Günter Leugering

SIAM J. Optim., 2009

2007

On the solution of large-scale SDP problems by the modified barrier method using iterative solvers.

Michal Kocvara, Michael Stingl

Math. Program., 2007

Quadratic programming and affine variational inequalities: a qualitative study by G. M. Lee, N. N. Tam and N. D. Yen - Series: nonconvex optimization and its applications, vol 78 ISBN: 0-387-24277-5, Springer 2005.

Michael Stingl

Math. Methods Oper. Res., 2007

Free Material Optimization for Plates and Shells.

Stefanie Gaile, Günter Leugering, Michael Stingl

Proceedings of the System Modeling and Optimization, 2007

2005

Solving polynomial static output feedback problems with PENBMI.

Didier Henrion, Johan Löfberg, Michal Kocvara, Michael Stingl

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Solving nonconvex SDP problems of structural optimization with stability control.

Michal Kocvara, Michael Stingl

Optim. Methods Softw., 2004

2003

PENNON: A code for convex nonlinear and semidefinite programming.

Michal Kocvara, Michael Stingl

Optim. Methods Softw., 2003