Year: 2021
Type: report
Abstract: This deliverable focuses on the design of an interface between MLMC algorithms, the scheduling engine, and problem solvers. For this purpose an API definition is proposed together with a basic reference implementation in Python. This work serves as a first step for the development of the ExaQUte MLMC Python engine. It includes: • API definition • Demonstrator code and description • Example of usage
Authors: D. Drzisga, M. Parete, R. Wüchner, R. Rossi, C. Soriano
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W3007459508