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Can I read Matrices in Engineering Problems (Synthesis Lectures on Mathematics and Statistics, 10) on EtoBox?

Matrices in Engineering Problems (Synthesis Lectures on Mathematics and Statistics, 10) by Marvin J. Tobias; Steven Krantz is a nonfiction available to read on EtoBox.

What is Matrices in Engineering Problems (Synthesis Lectures on Mathematics and Statistics, 10) about?

This book is intended as an undergraduate text introducing matrix methods as they relate to engineering problems. It begins with the fundamentals of mathematics of matrices and determinants. Matrix inversion is discussed, with an introduction of the well known reduction methods. Equation sets are viewed as vector transformations, and the conditions of their solvability are explored. Orthogonal matrices are introduced with examples showing application to many problems requiring three dimensional thinking. The angular velocity matrix is shown to emerge from the differentiation of the 3-D orthogonal matrix, leading to the discussion of particle and rigid body dynamics. The book continues with the eigenvalue problem and its application to multi-variable vibrations. Because the eigenvalue problem requires some operations with polynomials, a separate discussion of these is given in an appendix. The example of the vibrating string is given with a comparison of the matrix analysis to the continuous solution. Table of Contents: Matrix Fundamentals / Determinants / Matrix Inversion / Linear Simultaneous Equation Sets / Orthogonal Transforms / Matrix Eigenvalue Analysis / Matrix Analysis of

Who reads Matrices in Engineering Problems (Synthesis Lectures on Mathematics and Statistics, 10)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Marvin J. Tobias; Steven Krantz
Publisher
Morgan & Claypool Publishers, American International Distribution Corporation [distributor
Published
2011
Language
EN
ISBN
9783031024023
Category
nonfiction
Subjects
Mathematics, Engineering, Applied Mathematics

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