PENNON: A code for convex nonlinear and semidefinite programming. - Michal Kocvara; Michael Stingl (Optim. Methods Softw., 2003)

Solving nonconvex SDP problems of structural optimization with stability control. - Michal Kocvara; Michael Stingl (Optim. Methods Softw., 2004)

Solving polynomial static output feedback problems with PENBMI. - Didier Henrion; Johan Löfberg; Michal Kocvara; Michael Stingl (CDC/ECC, 2005)

Free Material Optimization for Plates and Shells. - Stefanie Gaile; Günter Leugering; Michael Stingl (System Modelling and Optimization, 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)

On the solution of large-scale SDP problems by the modified barrier method using iterative solvers. - Michal Kocvara; Michael Stingl (Math. Program., 2007)

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)

Free Material Optimization with Fundamental Eigenfrequency Constraints. - Michael Stingl; Michal Kocvara; Günter Leugering (SIAM J. Optim., 2009)

Multidisciplinary Free Material Optimization. - Jaroslav Haslinger; Michal Kocvara; Günter Leugering; Michael Stingl (SIAM J. Appl. Math., 2010)

Optimal Design of Brittle Composite Materials: a Nonsmooth Approach. - Marina Prechtel; Günter Leugering; Paul Steinmann; Michael Stingl (J. Optim. Theory Appl., 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)

Efficient Two-Scale Optimization of Manufacturable Graded Structures. - Fabian Schury; Michael Stingl; Fabian Wein (SIAM J. Sci. Comput., 2012)

Simultaneous Material and Topology Optimization Based on Topological Derivatives. - Jannis Greifenstein; Michael Stingl (System Modelling and Optimization, 2013)

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 001 (SIAM J. Optim., 2018)

Material Optimization in Transverse Electromagnetic Scattering Applications. - Johannes Semmler; Lukas Pflug; Michael Stingl (SIAM J. Sci. Comput., 2018)

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)

Decomposable robust two-stage optimization: An application to gas network operations under uncertainty. - Denis Aßmann; Frauke Liers; Michael Stingl (Networks, 2019)

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)

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)

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)

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)

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 (INOC, 2022)

Adaptive Bundle Methods for Nonlinear Robust Optimization. - Martina Kuchlbauer; Frauke Liers; Michael Stingl (INFORMS J. Comput., 2022)

Outer Approximation for Mixed-Integer Nonlinear Robust Optimization. - Martina Kuchlbauer; Frauke Liers; Michael Stingl (J. Optim. Theory Appl., 2022)

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)

Efficient and accurate separable models for discrete material optimization: A continuous perspective. - Peter Gangl; Nico Nees; Michael Stingl (CoRR, 2023)

Two-Scale Optimization of Graded Lattice Structures respecting Buckling on Micro- and Macroscale. - Daniel Hübner; Fabian Wein; Michael Stingl (CoRR, 2023)

Using OpenBIS as Virtual Research Environment: An ELN-LIMS Open-Source Database Tool as a Framework within the CRC 1411 Design of Particulate Products. - Fabian Plass; Silvan Englisch; Benjamin Apeleo Zubiri; Lukas Pflug; Erdmann Spiecker; Michael Stingl (Data Sci. J., 2023)

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)

The continuous stochastic gradient method: part I-convergence theory. - Max Grieshammer; Lukas Pflug; Michael Stingl; Andrian Uihlein (Comput. Optim. Appl., 2024)

The continuous stochastic gradient method: part II-application and numerics. - Max Grieshammer; Lukas Pflug; Michael Stingl; Andrian Uihlein (Comput. Optim. Appl., 2024)

Correction to: The continuous stochastic gradient method: part II-application and numerics. - Max Grieshammer; Lukas Pflug; Michael Stingl; Andrian Uihlein (Comput. Optim. Appl., 2024)

Loraine - an interior-point solver for low-rank semidefinite programming. - Soodeh Habibi; Michal Kocvara; Michael Stingl (Optim. Methods Softw., 2024)