[Opt-Net] OPTE Special Issue: PDE-Constrained Optimization

[Michael Ulbrich]

(apologies for cross-posting)

Dear Colleagues,

we are inviting submissions for a special issue on ``PDE-Constrained Optimization''
of the journal Optimization and Engineering (OPTE). Please find the details below.

Best Regards,

Michael Ulbrich and Boris Vexler


OPTE Special Issue: PDE-Constrained Optimization

Submission Deadline: October 31, 2019 <x-apple-data-detectors://1>

Journal: Optimization and Engineering (http://www.springer.com/ mathematics/journal/11081 <http://www.springer.com/mathematics/journal/11081>)

Guest Editors:
Michael Ulbrich, Professor, Chair of Mathematical Optimization, Department of Mathematics, Technical University of Munich ⟨mulbrich at ma.tum.de <mailto:mulbrich at ma.tum.de>⟩.
Boris Vexler, Professor, Chair of Optimal Control, Department of Mathematics, Technical University of Munich ⟨vexler at ma.tum.de <mailto:vexler at ma.tum.de>⟩.

Aim:
This call aims at publishing research work on PDE-constrained optimization connected to applications in engineering. The call is open to all types of papers, including theoretical, applied, and algorithmic articles, or combinations of them.

Theme:
The accurate modeling of complex physical and technical systems heavily relies on PDEs. The resulting systems live in infinite-dimensional function spaces and can involve nonlinearity, nonsmoothness, or uncertainty. Optimization with PDE constraints is the enabling discipline for analyzing and solving highly important problem classes connected to these systems, such as: shape and topology optimization, optimal control, inverse problems, parameter identification, etc. Beyond more traditional applications, the field is increasingly interacting with other timely and important areas, such as uncertainty quantification, data science, or mathematical imaging. Studying the theoretical and numerical aspects of PDE-constrained optimization problems in their original function space setting and tying the developments closely to the latest theoretical and computational advances
for PDEs are key elements for a strong theory and for robust, mesh-independent solvers. 
Mathematically, PDE-constrained optimization is as rich as its numerous applications: It combines theoretical and practical methodology from optimization, PDEs, functional analysis, nonsmooth and variational analysis, numerical analysis, and scientific computing; it also can involve probability and measure theory.

This special issues targets at showcasing the latest advances in PDE-constrained optimization at the intersection of mathematics and engineering applications.

Submission Procedure:
Please submit to the Optimization and Engineering (OPTE) journal at https://www.springer.com/mathematics/journal/11081 <https://www.springer.com/mathematics/journal/11081> and select special issue “SI: PDE 2019”. All sub- missions must be original and may not be under review by another publication. Interested authors should consult the journal’s “Instructions for Authors”, at http://www.springer.com/ mathematics/journal/11081 <http://www.springer.com/mathematics/journal/11081>. All submitted papers will be reviewed on a peer review basis as soon as they are received. Accepted papers will be available at Online First until the complete Special Issue appears.

All inquiries should be directed to the attention of:

Michael Ulbrich, Subject Editor and Guest Editor (mulbrich at ma.tum.de <mailto:mulbrich at ma.tum.de>)
Boris Vexler, Guest Editor (vexler at ma.tum.de <mailto:vexler at ma.tum.de>)
Optimization and Engineering (OPTE) journal


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