cGenEDA: Code-Generation for Electronic Design Optimization
Philipp Gérard Trémuel, Fernando Benites, Christoph Würsch, U. Hügel et autres
Addressing inverse design problems in engineering generally requires managing complex challenges. Traditionally, such systems are optimized by manually setting up a model in a numerical simulation software and applying parameter optimization. Topology changes and variable parameter sets result in challenging mixed-integer optimization …
ch, nl (code pays fourni par la source)