Daniel Wachsmuth

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 20

Top Topics

Hypothesis Test

Cost Functional

Control Problems

Partial Differential Equations

Top Venues

SIAM J. Control. Optim.

Comput. Optim. Appl.

J. Optim. Theory Appl.

Publications

Daniel Wachsmuth
) constraints: maximum principle and proximal gradient method. Comput. Optim. Appl. 87 (3) (2024)
Eduardo Casas, Daniel Wachsmuth
A Note on Existence of Solutions to Control Problems of Semilinear Partial Differential Equations. SIAM J. Control. Optim. 61 (3) (2023)
Remo Kretschmann, Daniel Wachsmuth, Frank Werner
Optimal regularized hypothesis testing in statistical inverse problems. CoRR (2022)
Carolin Natemeyer, Daniel Wachsmuth
A proximal gradient method for control problems with non-smooth and non-convex control cost. Comput. Optim. Appl. 80 (2) (2021)
Eduardo Casas, Daniel Wachsmuth
Term in the Cost Functional. SIAM J. Control. Optim. 58 (6) (2020)
Veronika Karl, Ira Neitzel, Daniel Wachsmuth
A Lagrange multiplier method for semilinear elliptic state constrained optimal control problems. Comput. Optim. Appl. 77 (3) (2020)
Nguyen Thanh Qui, Daniel Wachsmuth
Subgradients of Marginal Functions in Parametric Control Problems of Partial Differential Equations. SIAM J. Optim. 30 (2) (2020)
Christian Kanzow, Veronika Karl, Daniel Steck, Daniel Wachsmuth
The Multiplier-Penalty Method for Generalized Nash Equilibrium Problems in Banach Spaces. SIAM J. Optim. 29 (1) (2019)
Nguyen Thanh Qui, Daniel Wachsmuth
Full Stability for a Class of Control Problems of Semilinear Elliptic Partial Differential Equations. SIAM J. Control. Optim. 57 (4) (2019)
Daniel Wachsmuth
Control Cost. SIAM J. Control. Optim. 57 (2) (2019)
Eduardo Casas, Daniel Wachsmuth, Gerd Wachsmuth
Second-Order Analysis and Numerical Approximation for Bang-Bang Bilinear Control Problems. SIAM J. Control. Optim. 56 (6) (2018)
Veronika Karl, Daniel Wachsmuth
An augmented Lagrange method for elliptic state constrained optimal control problems. Comput. Optim. Appl. 69 (3) (2018)
Christian Kanzow, Daniel Steck, Daniel Wachsmuth
An Augmented Lagrangian Method for Optimization Problems in Banach Spaces. SIAM J. Control. Optim. 56 (1) (2018)
Bui Trong Kien, Arnd Rösch, Daniel Wachsmuth
Pontryagin's Principle for Optimal Control Problem Governed by 3D Navier-Stokes Equations. J. Optim. Theory Appl. 173 (1) (2017)
Eduardo Casas, Daniel Wachsmuth, Gerd Wachsmuth
Sufficient Second-Order Conditions for Bang-Bang Control Problems. SIAM J. Control. Optim. 55 (5) (2017)
Daniel Wachsmuth, Jan-Eric Wurst
Exponential Convergence of hp-Finite Element Discretization of Optimal Boundary Control Problems with Elliptic Partial Differential Equations. SIAM J. Control. Optim. 54 (5) (2016)
Sven Beuchler, K. Hofer, Daniel Wachsmuth, Jan-Eric Wurst
Boundary concentrated finite elements for optimal control problems with distributed observation. Comput. Optim. Appl. 62 (1) (2015)
Daniel Wachsmuth
Robust error estimates for regularization and discretization of bang-bang control problems. Comput. Optim. Appl. 62 (1) (2015)
Daniel Wachsmuth, Jan-Eric Wurst
finite elements. Optim. Methods Softw. 30 (6) (2015)
Gabriele Ciaramella, Alfio Borzì, Gunther Dirr, Daniel Wachsmuth
Newton Methods for the Optimal Control of Closed Quantum Spin Systems. SIAM J. Sci. Comput. 37 (1) (2015)
Karl Kunisch, Daniel Wachsmuth
On Time Optimal Control of the Wave Equation and Its Numerical Realization as Parametric Optimization Problem. SIAM J. Control. Optim. 51 (2) (2013)
Karl Kunisch, Daniel Wachsmuth
Path-following for optimal control of stationary variational inequalities. Comput. Optim. Appl. 51 (3) (2012)
Arnd Rösch, Daniel Wachsmuth
A-posteriori error estimates for optimal control problems with state and control constraints. Numerische Mathematik 120 (4) (2012)
Sven Beuchler, Clemens Pechstein, Daniel Wachsmuth
Boundary concentrated finite elements for optimal boundary control problems of elliptic PDEs. Comput. Optim. Appl. 51 (2) (2012)
Arnd Rösch, Daniel Wachsmuth
Semi-smooth Newton method for an optimal control problem with control and mixed control-state constraints. Optim. Methods Softw. 26 (2) (2011)
Daniel Wachsmuth, Gerd Wachsmuth
Necessary Conditions for Convergence Rates of Regularizations of Optimal Control Problems. System Modelling and Optimization (2011)
Saheed Akindeinde, Daniel Wachsmuth
Adaptive Methods for Control Problems with Finite-Dimensional Control Space. System Modelling and Optimization (2011)
David Sevilla, Daniel Wachsmuth
Polynomial integration on regions defined by a triangle and a conic CoRR (2010)
David Sevilla, Daniel Wachsmuth
Polynomial integration on regions defined by a triangle and a conic. ISSAC (2010)
Roland Griesse, Daniel Wachsmuth
Sensitivity analysis and the adjoint update strategy for an optimal control problem with mixed control-state constraints. Comput. Optim. Appl. 44 (1) (2009)
Roland Griesse, Thomas Grund, Daniel Wachsmuth
Update strategies for perturbed nonsmooth equations. Optim. Methods Softw. 23 (3) (2008)
Arnd Rösch, Daniel Wachsmuth
Numerical Verification of Optimality Conditions. SIAM J. Control. Optim. 47 (5) (2008)
Daniel Wachsmuth
-theory. SIAM J. Control. Optim. 46 (3) (2007)
Daniel Wachsmuth
Numerical Solution of Optimal Control Problems with Convex Control Constraints. Systems, Control, Modeling and Optimization (2006)
Fredi Tröltzsch, Daniel Wachsmuth
On convergence of a receding horizon method for parabolic boundary control. Optim. Methods Softw. 19 (2) (2004)
Michael Hinze, Daniel Wachsmuth
Fast Closed Loop Control of the Navier-Stokes System. HPSC (2003)