Moreira Multivariable Mathematics

Erscheinungsjahr 2020
ISBN: 978-1-77407-901-0
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 377 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

The book Multivariable Mathematics is a collection of contemporaneous articles combines several topics of multivariate mathematics, from extensions of uni-variate methodologies to practical applications in several research areas of multivariate calculus, statistical analysis, time series, polynomial geometry and differential topology. It navigates through several applications in numerous scientific domains such as physics, economics, data science, network science, and more.

Autoren/Hrsg.

Moreira, Olga

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

- Chapter 1: Multivariate Spectral Gradient Algorithm for Nonsmooth Convex Optimization Problems
- Chapter 2: U-Statistic for Multivariate Stable Distributions
- Chapter 3: Entropy and Fractal Antennas
- Chapter 4: An axiomatic integral and a multivariate mean value theorem
- Chapter 5: Multivariate Longitudinal Analysis with Bivariate Correlation Test
- Chapter 6: Generalized Inferences about the Mean Vector of Several Multivariate Gaussian Processes
- Chapter 7: A New Test of Multivariate Nonlinear Causality
- Chapter 8: Multivariate Time Series Similarity Searching
- Chapter-9: A Method for Comparing Multivariate Time Series with Different Dimensions
- Chapter-10: Network structure of multivariate time series
- Chapter-11: Networks: On the relation of bi- and multivariate measures
- Chapter 12: Cubic Trigonometric Nonuniform Spline Curves and Surfaces
- Chapter 13: Three-Dimensional Surface Parameters and Multi-Fractal Spectrum of Corroded Steel
- Chapter 14: Fitting Quadrics with a Bayesian Prior
- Chapter 15: Visual data mining based on differential topology: a survey
- Chapter 16: The method of finding solutions of partial dynamic equations on time scales

Über Autor(innen)

Olga Moreira is a Ph.D. in Astrophysics and B.Sc. in Physics and Applied Mathematics. She is an experienced technical writer and researcher which former fellowships include postgraduate positions at two of the most renown European institutions in the fields of Astrophysics and Space Science (the European Southern Observatory, and the European Space Agency). Presently, she is an independent scientist working on projects involving machine learning and neural networks research as well as peer-reviewing and edition of academic books.