Omslagsbillede

System- and Data-Driven Methods and Algorithms

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real...

Fuld beskrivelse

Saved in:
Format: Online
Sprog:engelsk
Udgivet: De Gruyter 2022
Fag:
Computational physics
Computer simulation
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering
Online adgang:ONIX_20220111_9783110498967_47
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
Summary:An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.

Lignende værker