Error Analysis with Applications in Engineering

Error Analysis with Applications in Engineering
Author: Zbigniew A. Kotulski
Publisher: Springer Science & Business Media
Total Pages: 270
Release: 2009-12-10
Genre: Technology & Engineering
ISBN: 9048135702

Our intention in preparing this book was to present in as simple a manner as possible those branches of error analysis which ?nd direct applications in solving various problems in engineering practice. The main reason for writing this text was the lack of such an approach in existing books dealing with the error calculus. Most of books are devoted to mathematical statistics and to probability theory. The range of applications is usually limited to the problems of general statistics and to the analysis of errors in various measuring techniques. Much less attention is paid in these books to two-dimensional and three-dim- sional distributions, and almost no attention is given to problems connected with the two-dimensional and three-dimensional vectorial functions of independent random variables. The theory of such vectorial functions ?nds new applications connected, for example, with analysis of the positioning accuracy of various mechanisms, among them of robot manipulators and automatically controlled earth-moving and loading machines, such as excavators.

Stochastic Methods in Quantum Mechanics

Stochastic Methods in Quantum Mechanics
Author: Stanley P. Gudder
Publisher: Courier Corporation
Total Pages: 242
Release: 2014-05-05
Genre: Science
ISBN: 0486149188

This introductory survey of stochastic methods and techniques in quantum physics, functional analysis, probability theory, communications, and electrical engineering also serves as a useful and comprehensive reference volume. 1979 edition.

Encyclopedia of Mathematical Geosciences

Encyclopedia of Mathematical Geosciences
Author: B. S. Daya Sagar
Publisher: Springer Nature
Total Pages: 1744
Release: 2023-07-13
Genre: Science
ISBN: 3030850404

The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.