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Contact Information

Matthias Heinkenschloss
Department of Computational Applied Mathematics & Operations Research
Rice University
MS-134
6100 Main Street
Houston, Texas 77005-1827

heinken _at_ rice.edu
cmor-faculty.rice.edu/~heinken
Phone: 713-348-5176
Fax: 713-348-5318

Office: Duncan Hall, Room 3088
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About

I am a Noah Harding Chair and professor in the Department of Computational Applied Mathematics & Operations Research at Rice University.

Google Scholar.        ORCID iD iconorcid.org/0000-0002-9305-4221

PostDoc Opening

We invite applications for postdoctoral researcher positions as part of the NSF-funded Research Training Group, “RTG: Numerical Mathematics and Scientific Computing.” For more information about these positions see https://www.mathjobs.org/jobs/list/23350.

Research Training Group in Numerical Mathematics & Scientific Computing (NASC)

Profs. Beatrice Riviere, Jesse Chan, and I were awarded an National Science Foundation grant for our Research Training Group in Numerical Mathematics & Scientific Computing (NASC). This RTG trains the next generation of scientists in NASC and its applications, preparing researchers in computational and applied mathematics for both industry and academic careers. It provides many exciting training and research opportunities for undergraduate and graduate students, as well as postdocs. Please visit the Research Training Group in Numerical Mathematics & Scientific Computing (NASC) web-page for more information, or scan QR code for RTG

Research Interests

My group's research is concerned with the design and analysis of mathematical optimization algorithms for nonlinear, large-scale (often infinite dimensional) problems and their applications to science and engineering problems.
Specific research areas include large-scale nonlinear optimization, model order reduction, optimal control of partial differential equations (PDEs), optimization under uncertainty, PDE constrained optimization, iterative solution of KKT systems, domain decomposition in optimization. Applications come in form of parameter identification, optimal control, or shape optimization problems. The snapshots above are samples from work performed in my group.