EDIS

EDIS
Author: United States. Environmental Data and Information Service
Publisher:
Total Pages: 474
Release: 1978
Genre: Earth sciences
ISBN:

Topics in Multivariate Approximation

Topics in Multivariate Approximation
Author: C. K. Chui
Publisher: Elsevier
Total Pages: 346
Release: 2014-05-10
Genre: Mathematics
ISBN: 1483271005

Topics in Multivariate Approximation contains the proceedings of an international workshop on multivariate approximation held at the University of Chile in Santiago, Chile, on December 15-19, 1986. Leading researchers in the field discussed several problem areas related to multivariate approximation and tackled topics ranging from multivariate splines and fitting of scattered data to tensor approximation methods and multivariate polynomial approximation. Numerical grid generation and finite element methods were also explored, along with constrained interpolation and smoothing. Comprised of 22 chapters, this book first describes the application of Boolean methods of approximation in combination with the theory of right invertible operators to bivariate Fourier expansions. The reader is then introduced to ill-posed problems in multivariate approximation; interpolation of scattered data by radial functions; and shape-preserving surface interpolation. Subsequent chapters focus on approximation by harmonic functions; numerical generation of nested series of general triangular grids; triangulation methods; and inequalities arising from best local approximations in rectangles. A bibliography of multivariate approximation concludes the book. This monograph will be of interest to mathematicians.

Primary Productivity in the Sea

Primary Productivity in the Sea
Author: Paul Falkowski
Publisher: Springer Science & Business Media
Total Pages: 530
Release: 2013-03-09
Genre: Science
ISBN: 1468438905

Primary productivity in the sea accounts for ~30% of the total global annual production. Holistic understanding of the factors determining marine productivity requires detailed knowl edge of algal physiology and of hydrodynamics. Traditionally studies of aquatic primary productivity have heen conducted hy workers in two major schools: experimental laboratory biology, and empirical field ecology. Here an attempt was made .to hring together people from both schools to share information and con cepts; each author was charged with reviewing his field of exoer tise. The scope of the Symposium is broad, which we feel is its strength. We gratefully acknowledge financial support from the Depart ment of Energy, the United States Environmental Protection Agency, the National Oceanic and Atmospheric Administration, including the NMFS Northeast Fisheries Center and the MESA New York Bight Project. Thanks are due to Mrs. Margaret Dienes, with out whose editorial skills this volume could not have been pro duced, and to Mrs. Helen Kondratuk as Symposium Coordinator. Finally, we wish to record our indebtedness to Dr. Alexander Hollaender for his tireless efforts and valuable advice in sup porting all aspects of this Symposium.

Statistical Computing

Statistical Computing
Author: Debasis Kundu
Publisher: Alpha Science Int'l Ltd.
Total Pages: 440
Release: 2004
Genre: Computers
ISBN: 9781842652022

Statistical Computing: Existing Methods and Recent Developments attempts to provide a state of the art account of existing methods and recent developments in the so called new field of Statistical Computing. Fourteen different chapters deal with a wide range of topics. This includes introductory topics such as the basic numerical analysis methods, random number generation, graphical techniques used in statistical data analysis and other areas. It also covers the more specialized techniques such as the EM algorithm, genetic algorithms, nonparametric smoothing techniques, resampling methods, and artificial neural network models, to name a few. In addition, the volume also deals with the computational issues involved in the analysis of mixture models, adaptive designs, weighted distributions, and statistical signal processing, topics which are unlikely to be covered in a standard text on Statistical Computing.