Linear Methods: A General Education Course is expressly written for non-mathematical students, particularly freshmen taking a required core mathematics course. Rather than covering a hodgepodge of different topics as is typical for a core mathematics course, this text encourages students to explore one particular branch of mathematics, elementary linear algebra, in some depth. The material is presented in an accessible manner, as opposed to a traditional overly rigorous approach. While introducing students to useful topics in linear algebra, the book also includes a gentle introduction to more abstract facets of the subject.
Rather than covering a hodgepodge of different topics as is typical for a core mathematics course, this text encourages students to explore one particular branch of mathematics, elementary linear algebra, in some depth.
This book provides modern coverage of the theory, construction, and implementation of both classical and modern general linear methods for solving ordinary differential equations as they apply to a variety of related areas, including ...
Mathematics of Computing -- General.
Computational Methods of Linear Algebra
Introduction to the themes of mathematical analysis, geared toward advanced undergraduate and graduate students.
The book includes CSparse, a concise downloadable sparse matrix package that illustrates the algorithms and theorems presented in the book and equips readers with the tools necessary to understand larger and more complex software packages ...
Supported by a large number of examples, Linear Model Methodology provides a strong foundation in the theory of linear models and explores the latest developments in data analysis.After
This book provides a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing, covering the necessary prerequisites in matrices, multivariate normal distribution and distributions of quadratic ...
Consider a single-input problem, with R = 1. Then we have for continuous and discrete time l1—k'(ij—F)'1g|21 (5.7-5) and, using (5.7-3), l1 - k'(e""I - Hg] 2 m (5.7-6) Because g'Sg >0, this means that the Nyquist plot of k'(e""I — F)'1g ...
This term was introduced by Lindley and Smith ( 1972 ) and Smith ( 1973 ) as part of their seminal contribution on Bayesian estimation of linear models . Within this context , Lindley and Smith elaborated a general framework for nested ...