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This book offers a simplified approach to random processes for the non-specialist and advises the reader on how to best predict its behavior, both from raw data and theoretical models. With a premise based on the idea that new techniques are best introduced by specific, low-dimensional examples, rather than attempting to strive for generality at the outset, the mathematics is easier to comprehend and more enjoyable. It distinguishes between the science of extracting statistical information from raw data - e.g., a time series about which nothing is known a priori - and that of analyzing...

An accessible and clear introduction to linear algebra with a focus on matrices and engineering applications

Providing comprehensive coverage of matrix theory from a geometric and physical perspective, Fundamentals of Matrix Analysis with Applications describes the functionality of matrices and their ability to quantify and analyze many practical applications. Written by a highly qualified author team, the book presents tools for matrix analysis and is illustrated with extensive examples and software implementations.

Beginning with a detailed exposition and...

Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications - an accessible and clear introduction to linear algebra with a focus on matrices and engineering applications

This set includes Fundamentals of Matrix Analysis with Applications & Solutions Manual to Accompany Fundamentals of Matrix Analysis with Applications

Providing comprehensive coverage of matrix theory from a geometric and physical perspective, Fundamentals of Matrix Analysis with Applications describes the functionality of matrices and their ability to quantify and analyze many practical applications.

Written by a highly qualified author team, the book presents tools for matrix analysis and is illustrated with extensive examples and software implementations.