Description
Format: Paperback / softback
Length: 248 pages
Publication date: 12 December 2021
Publisher: Springer Fachmedien Wiesbaden
This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.
Weight: 356g
Dimension: 210 x 148 (mm)
ISBN-13: 9783658359317
Edition number: 1st ed. 2021
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