Boris Vexler is affiliated with the Technical University of Munich in Germany, with a research focus primarily in engineering and computer science. Their work covers multiple subfields, including computational mechanics, computational theory and mathematics, mechanics of materials, control and systems engineering, and mathematical physics.
Their research topics emphasize advanced numerical methods in computational mathematics, advanced mathematical modeling in engineering, numerical methods in engineering, stability and controllability of differential equations, numerical methods in inverse problems, computational fluid dynamics and aerodynamics, as well as Navier-Stokes equation solutions.
Vexler has contributed to the following recent papers:
The frequent collaborators identified include Dmitriy Leykekhman, Jakob Wagner, Dominik Meidner, Johannes Pfefferer, and Niklas Behringer.
Vexler's publications appear notably in venues such as arXiv (Cornell University), Mathematical Control and Related Fields, ESAIM. Mathematical modelling and numerical analysis, IMA Journal of Numerical Analysis, and ESAIM Control Optimisation and Calculus of Variations.
In addition to journal articles, Vexler has authored a book published by Springer Nature titled Numerical Analysis for Elliptic Optimal Control Problems, scheduled for release in 2025.
Dominik Meidner;Boris Vexler
Dominik Meidner;Boris Vexler
Roland Becker;Boris Vexler
Michael Schmich;Boris Vexler
Unknown
B. Vexler;W. Wollner
Roland Becker;Boris Vexler
Roland Becker;Dominik Meidner;Boris Vexler
Sandra May;Rolf Rannacher;Boris Vexler
K. Kunisch;B. Vexler
Olaf Benedix;Boris Vexler
Ira Neitzel;Boris Vexler
Karl Kunisch;Konstantin Pieper;Boris Vexler
Axel Kröner;Karl Kunisch;Boris Vexler
Konstantin Pieper;Boris Vexler
Roland Becker;Boris Vexler
Arnd Ro¨sch;Boris Vexler
Axel Kröner;Boris Vexler
Dominik Meidner;Rolf Rannacher;Boris Vexler
R. Rannacher;B. Vexler
Thomas Apel;Olaf Benedix;Dieter Sirch;Boris Vexler
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees related to Mathematics can open doors to various career pathways, including data science, finance, and business analytics. For those considering a shift to management roles, understanding whether you can transfer MBA credits is crucial. This flexibility can accelerate your educational journey and reduce overall costs.
If your interest leans toward data-driven careers, a data analytics master's degree offers specialized skills in interpreting complex datasets, complementing a strong math background. Such programs emphasize practical applications that are highly valued in the job market.
For those seeking less competitive admission processes, researching the easiest MBA programs can provide insight into options that balance quality education and accessibility. Similarly, if convenience and flexibility are priorities, exploring easy online MBA programs might be advantageous for working professionals aiming to enhance their credentials without disrupting their careers.
Overall, aligning your mathematics expertise with these related online degree pathways can significantly expand your professional opportunities in today’s competitive landscape.
INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
University of Toronto
University of Nebraska–Lincoln
The University of Texas at Austin
Ludwig-Maximilians-Universität München
Grenoble Alpes University
University of Sheffield
École Polytechnique Fédérale de Lausanne
Hokkaido University
North Carolina State University
University of Wyoming
Alfred Wegener Institute for Polar and Marine Research
London School of Economics and Political Science
University of Haifa
Nationwide Children's Hospital
Natural History Museum