Abstract: We discuss the advantages of using Julia for solving multiscale problems involving partial differential equations (PDEs).
We discuss the advantages of using Julia for solving multiscale problems involving partial differential equations (PDEs). Multiscale problems are problems ...
The code for the numerical stochastic homogenization of elliptic problems is implemented in Julia, a dynamic language inspired by the Lisp family of ...
We discuss the advantages of using Julia for solving multiscale problems involving partial differential equations (PDEs). Multiscale problems are problems ...
Despite the young age Julia has been featured in several research papers in fields ranging from Computer Science and Technical Computing (Heitzinger and Tulzer ...
ABSTRACT. We discuss the advantages of using Julia for solving multiscale problems involving partial differential equations. (PDEs).
Title: Julia and the numerical homogenization of PDEs ; Authors: Heitzinger, Clemens · Tulzer, Gerhard ; Issue Date: 2014 ; Citation: Heitzinger, C., & Tulzer, G.
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Julia and the numerical homogenization of PDEs. C. Heitzinger, and G. Tulzer. HPTCDL@SC, page 36-40. IEEE Computer Society, (2014 )978-1-4799-7020-9. Links ...
Julia and the numerical homogenization of PDEs. C. Heitzinger, и G. Tulzer. HPTCDL@SC, стр. 36-40. IEEE Computer Society, (2014 )978-1-4799-7020-9. 1. 1 ...