| Distributed shape derivative via averaged adjoint method and applications A Laurain, K Sturm ESAIM Mathematical Modelling and Numerical Analysis, 2016 | 112* | 2016 |
| Shape optimization of an electric motor subject to nonlinear magnetostatics P Gangl, U Langer, A Laurain, H Meftahi, K Sturm SIAM Journal on Scientific Computing 37 (6), B1002-B1025, 2015 | 85 | 2015 |
| Minimax Lagrangian Approach to the Differentiability of Nonlinear PDE Constrained Shape Functions Without Saddle Point Assumption K Sturm SIAM J. Control Optim. 53 (4), 2017-2039, 2015 | 74* | 2015 |
| On shape optimization with non-linear partial differential equations K Sturm Technical University Berlin, 2015 | 27 | 2015 |
| Two-dimensional shape optimization with nearly conformal transformations JA Iglesias, K Sturm, F Wechsung SIAM Journal on Scientific Computing 40 (6), A3807-A3830, 2018 | 23 | 2018 |
| Optimal actuator design based on shape calculus D Kalise, K Kunisch, K Sturm Mathematical Models and Methods in Applied Sciences 28 (13), 2667-2717, 2018 | 20 | 2018 |
| Reproducing kernel Hilbert spaces and variable metric algorithms in PDE-constrained shape optimization M Eigel, K Sturm Optimization Methods and Software 33 (2), 268-296, 2017 | 16 | 2017 |
| Shape differentiability under non-linear PDE constraints K Sturm New trends in shape optimization, 271-300, 2015 | 16 | 2015 |
| Fully and semi-automated shape differentiation in NGSolve P Gangl, K Sturm, M Neunteufel, J Schöberl Structural and multidisciplinary optimization 63 (3), 1579-1607, 2021 | 14 | 2021 |
| Distortion compensation as a shape optimisation problem for a sharp interface model K Sturm, M Hintermüller, D Hömberg Computational Optimization and Applications 64 (2), 557-588, 2016 | 13* | 2016 |
| On the explicit feedback stabilization of one-dimensional linear nonautonomous parabolic equations via oblique projections SS Rodrigues, K Sturm IMA Journal of Mathematical Control and Information 37 (1), 175-207, 2020 | 12 | 2020 |
| Parametric semidifferentiability of minimax of Lagrangians: averaged adjoint approach MC Delfour, K Sturm J. Convex Anal 24 (4), 1117-1142, 2017 | 12* | 2017 |
| Shape optimisation for a class of semilinear variational inequalities with applications to damage models C Heinemann, K Sturm http://arxiv.org/abs/1601.04136, 2016 | 12 | 2016 |
| A simplified derivation technique of topological derivatives for quasi-linear transmission problems P Gangl, K Sturm ESAIM: Control, Optimisation and Calculus of Variations 26, 106, 2020 | 11 | 2020 |
| Topological sensitivities via a Lagrangian approach for semi-linear problems. arXiv e-prints, page K Sturm arXiv preprint arXiv:1803.00304, 2018 | 11* | 2018 |
| Minimax differentiability via the averaged adjoint for control/shape sensitivity MC Delfour, K Sturm IFAC-PapersOnLine 49 (8), 142-149, 2016 | 10 | 2016 |
| Shape optimization with nonsmooth cost functions: from theory to numerics K Sturm SIAM Journal on Control and Optimization 54 (6), 3319-3346, 2016 | 10 | 2016 |
| Convergence of Newton's method in shape optimisation via approximate normal functions K Sturm | 7 | 2015 |
| Optimal Actuator Design for the Euler-Bernoulli Vibration Model Based on LQR Performance and Shape Calculus MS Edalatzadeh, D Kalise, KA Morris, K Sturm IEEE Control Systems Letters 6, 1334-1339, 2021 | 5* | 2021 |
| A structure theorem for shape functions defined on submanifolds K Sturm Interfaces and Free Boundaries, 2016 | 5 | 2016 |
Peter GanglPost-doctoral Researcher, TU Graz, AustriaVerified email at math.tugraz.at
