Mathematical Geosciences - Hybrid Symbolic-Numeric Methods (Paperback, Softcover reprint of the original 1st ed. 2018)

This book showcases powerful new hybrid methods that combine numerical and symbolic algorithms. Hybrid algorithm research is currently one of the most promising directions in the context of geosciences mathematics and computer mathematics in general. One important topic addressed here with a broad range of applications is the solution of multivariate polynomial systems by means of resultants and Groebner bases. But that's barely the beginning, as the authors proceed to discuss genetic algorithms, integer programming, symbolic regression, parallel computing, and many other topics. The book is strictly goal-oriented, focusing on the solution of fundamental problems in the geosciences, such as positioning and point cloud problems. As such, at no point does it discuss purely theoretical mathematics. "The book delivers hybrid symbolic-numeric solutions, which are a large and growing area at the boundary of mathematics and computer science." Dr. Daniel Li chtbau

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	June 2019
First published:	2018
Authors:	Joseph L Awange • Bela Palancz • Robert H. Lewis • Lajos Voelgyesi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	596
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-319-88422-6
Categories:	Books > Earth & environment > The environment > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Earth & environment > Earth sciences > Geology & the lithosphere > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN:	3-319-88422-0
Barcode:	9783319884226

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