Author: Henry P. StappPublisher:
ISBN:
Category : S-matrix theory
Languages : en
Pages : 444
Book Description
Lectures on Analytic S-matrix
Author: Henry P. StappPublisher:
ISBN:
Category : S-matrix theory
Languages : en
Pages : 444
Book Description
The Analytic S-Matrix
Author: R. J. EdenPublisher: Cambridge University Press
ISBN: 9780521523363
Category : Mathematics
Languages : en
Pages : 300
Book Description
A theory of the S-Matrix, starting from physically plausible assumptions and looking at the mathematical consequences.
Geoffrey Chew: Architect Of The Bootstrap
Author: Lars BrinkPublisher: World Scientific
ISBN: 9811219842
Category : Science
Languages : en
Pages : 319
Book Description
This special volume is dedicated to Geoffrey Chew who passed away on April 12, 2019, at age 94. He is best known as the architect and passionate champion of the bootstrap concept, sometimes called nuclear democracy. His work influenced generations of particle physicists. His passion for physics was an inspiration for his many students and associates. From the Chew-Low theory for meson-nucleon scattering to Analytic S-Matrix, Regge Poles, and Bootstrap principle, his originality left its mark in ways that continue to the present. With contributions from Chew's former collaborators, students, and friends, the book will cover various facets of his life and impact on physics.Contributors include Steven Weinberg, Steven Frautschi, Gabriele Veneziano, Peter Landshoff, Carl Rosenzweig, Basarab Nicolescu, William Frazer, David Gross, John Schwartz, Ling-Lie Chau, Chung-I Tan, Richard Brower, Carleton DeTar, R Shankar, David Kaiser, Fritjof Capra, and others.
Introduction to Matrix Analytic Methods in Stochastic Modeling
Author: G. LatouchePublisher: SIAM
ISBN: 0898714257
Category : Mathematics
Languages : en
Pages : 331
Book Description
Presents the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner.
Springer Tracts in Modern Physics
Author: G. HöhlerPublisher: Springer
ISBN: 3540369759
Category : Science
Languages : en
Pages : 237
Book Description
Nuclear Science Abstracts
Author: Fundamentals of Data Analytics
Author: Rudolf MatharPublisher: Springer Nature
ISBN: 3030568318
Category : Mathematics
Languages : en
Pages : 131
Book Description
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
Nuclear Power Reactor Instrumentation Systems Handbook
Author: Joseph M. HarrerPublisher:
ISBN: 9780870790058
Category : Technology & Engineering
Languages : en
Pages : 1052
Book Description
Theory Construction and Selection in Modern Physics
Author: James T. CushingPublisher: Cambridge University Press
ISBN: 9780521381819
Category : Mathematics
Languages : en
Pages : 436
Book Description
Analyses what criteria should determine how scientific theories are selected and justified.
Probability, Random Variables, and Data Analytics with Engineering Applications
Author: P. Mohana ShankarPublisher: Springer Nature
ISBN: 303056259X
Category : Technology & Engineering
Languages : en
Pages : 481
Book Description
This book bridges the gap between theory and applications that currently exist in undergraduate engineering probability textbooks. It offers examples and exercises using data (sets) in addition to traditional analytical and conceptual ones. Conceptual topics such as one and two random variables, transformations, etc. are presented with a focus on applications. Data analytics related portions of the book offer detailed coverage of receiver operating characteristics curves, parametric and nonparametric hypothesis testing, bootstrapping, performance analysis of machine vision and clinical diagnostic systems, and so on. With Excel spreadsheets of data provided, the book offers a balanced mix of traditional topics and data analytics expanding the scope, diversity, and applications of engineering probability. This makes the contents of the book relevant to current and future applications students are likely to encounter in their endeavors after completion of their studies. A full suite of classroom material is included. A solutions manual is available for instructors. Bridges the gap between conceptual topics and data analytics through appropriate examples and exercises; Features 100's of exercises comprising of traditional analytical ones and others based on data sets relevant to machine vision, machine learning and medical diagnostics; Intersperses analytical approaches with computational ones, providing two-level verifications of a majority of examples and exercises.