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Günther, Michael.

概要

作品:	1 作品在 0 項出版品 0 種語言

書目資訊

Novel Mathematics Inspired by Industrial Challenges by: Schilders, Wil.; Günther, Michael.; SpringerLink (Online service) (書目-語言資料,印刷品) , [http://id.loc.gov/vocabulary/relators/edt]

Rosenbrock—Wanner–Type Methods = Theory and Applications / by: Bartel, Andreas.; Steinebach, Gerd.; Jax, Tim.; Günther, Michael.; Ehrhardt, Matthias.; SpringerLink (Online service) (書目-語言資料,印刷品) , [http://id.loc.gov/vocabulary/relators/edt]

Knocking in Gasoline Engines = 5th International Conference, December 12-13, 2017, Berlin, Germany / by: SpringerLink (Online service); Günther, Michael.; Sens, Marc. (書目-語言資料,印刷品) , [http://id.loc.gov/vocabulary/relators/edt]

Scientific Computing in Electrical Engineering = SCEE 2014, Wuppertal, Germany, July 2014 / by: Clemens, Markus.; SpringerLink (Online service); Günther, Michael.; ter Maten, E. Jan W.; Bartel, Andreas. (書目-語言資料,印刷品) , [http://id.loc.gov/vocabulary/relators/edt]

Progress in Industrial Mathematics at ECMI 2021 by: Günther, Michael.; Ehrhardt, Matthias.; SpringerLink (Online service) (書目-語言資料,印刷品) , [http://id.loc.gov/vocabulary/relators/edt]

Coupled Multiscale Simulation and Optimization in Nanoelectronics by: SpringerLink (Online service); Günther, Michael. (書目-語言資料,印刷品) , [http://id.loc.gov/vocabulary/relators/edt]

主題

Nanotechnology and Microengineering. Computer mathematics. Numerical analysis. Differential Equations. Quantitative research. Nanostructures. Algorithms. Numerical and Computational Physics, Simulation. Automotive Engineering. Differential equations. Mathematical optimization. Mathematical models. Nanoscale science. Physics. Applied mathematics. Mathematical and Computational Engineering. Computer-aided engineering. Mathematical Modeling and Industrial Mathematics. Computer software. Nanoscience. Nanoscale Science and Technology. Numerical Analysis. Automotive engineering. Nanotechnology. Computer simulation. Mathematical Software. Optimization. Data Analysis and Big Data. Engineering mathematics. Simulation and Modeling. Computational Science and Engineering. Mathematics—Data processing. Computer-Aided Engineering (CAD, CAE) and Design.