Mathematical Geosciences | Wie neu | BUC41611405/1
Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Versandkostenfrei ab 19€

Produktinformationen "Mathematical Geosciences"

This second edition of Mathematical Geosciences book adds five new topics: Solution equations with uncertainty, which proposes two novel methods for solving nonlinear geodetic equations as stochastic variables when the parameters of these equations have uncertainty characterized by probability distribution. The first method, an algebraic technique, partly employs symbolic computations and is applicable to polynomial systems having different uncertainty distributions of the parameters. The second method, a numerical technique, uses stochastic differential equation in Ito form; Nature Inspired Global Optimization where Meta-heuristic algorithms are based on natural phenomenon such as Particle Swarm Optimization. This approach simulates, e.g., schools of fish or flocks of birds, and is extended through discussion of geodetic applications. Black Hole Algorithm, which is based on the black hole phenomena is added and a new variant of the algorithm code is introduced and illustrated based on examples; The application of the Gröbner Basis to integer programming based on numeric symbolic computation is introduced and illustrated by solving some standard problems; An extension of the applications of integer programming solving phase ambiguity in Global Navigation Satellite Systems (GNSSs) is considered as a global quadratic mixed integer programming task, which can be transformed into a pure integer problem with a given digit of accuracy. Three alternative algorithms are suggested, two of which are based on local and global linearization via McCormic Envelopes; and Machine learning techniques (MLT) that offer effective tools for stochastic process modelling. The Stochastic Modelling section is extended by the stochastic modelling via MLT and their effectiveness is compared with that of the modelling via stochastic differential equations (SDE). Mixing MLT with SDE also known as frequently Neural Differential Equations is also introduced and illustratedby an image classification via a regression problem.

Untertitel
H | B | T | Gramm 241 mm | 160 mm | 43 mm | 1409 gr
Erscheinungsjahr 2023
Ausgabe Hardcover
Publisher Books on Demand GmbH, In de Tarpen 42, 22848, Norderstedt, 040 53433511, 040 53433584, info@bod.de
ISBN-10 3030924947
ISBN-13 9783030924942
Autor Awange, Joseph L. | Völgyesi, Lajos | Lewis, Robert H. | Paláncz, Béla
Sprache Deutsch

0 von 0 Bewertungen

Durchschnittliche Bewertung von 0 von 5 Sternen

Bewerten Sie dieses Produkt!

Teilen Sie Ihre Erfahrungen mit anderen Kunden.


Wusstest du, dass...

ein wiederverkauftes Buch rund 2,7 kg CO₂ einspart – das entspricht einer 14 km langen Autofahrt?

Erfahre mehr zum Thema Nachhaltigkeit bei Buchpark

Versandkostenfrei ab 19 €

14 Tage Rückgaberecht - Kein Risiko

Geprüfte Gebrauchtware