Author: Carlos Polanco

TRANSFORMATIONS: A MATHEMATICAL APPROACH – FUNDAMENTAL CONCEPTS

eBook: US $29 Special Offer (PDF + Printed Copy): US $80
Printed Copy: US $65
Library License: US $116
ISBN: 978-1-68108-712-2 (Print)
ISBN: 978-1-68108-711-5 (Online)
Year of Publication: 2018
DOI: 10.2174/97816810871151180101

Introduction

Mathematical transformations have applications in many everyday artistic (computer graphics and design), industrial (manufacturing) and scientific (informatics) processes. Transformations: A Mathematical Approach covers both the mathematical basics of transformations and technical applications. Readers will find information on the mathematical operators for linear, nonlinear and affine transformations.

Key Features

  • - introduces readers to affine transformations, their properties and definitions
  • - explains different linear and nonlinear transformations
  • - covers the application of transformations in acoustics, actuary, bioinformatics, calculus, cybernetics, epidemiology, genetics, optics, physics, probability and vector analysis
  • - includes carefully selected examples for easy understanding

The combination of an easy-to understand text with information on a broad range of basic and applied topics related to transformations makes this textbook a handy resource for students of mathematics and allied disciplines, at all levels.

Contributors

Author(s):
Carlos Polanco




Contributor(s):
Alma Fernanda Sánchez Guerrero
Department of Mathematics
Faculty of Sciences
Universidad Nacional Autónoma de México
México


Carlos Ignacio Herrera Nolasco
Department of Mathematics
Faculty of Sciences
Universidad Nacional Autónoma de México
México


Carlos Polanco
Department of Mathematics
Faculty of Sciences
Universidad Nacional Autónoma de México
México


Dánae Itzel Álvarez Figueroa
Department of Actuary
Faculty of Sciences
Universidad Nacional Autónoma de México
México




RELATED BOOKS

.Fundamentals of Mathematics in Medical Research: Theory and Cases.
.Advanced Mathematical Applications in Data Science.
.Markov Chain Process (Theory and Cases).
.Advances in Special Functions of Fractional Calculus: Special Functions in Fractional Calculus and Their Applications in Engineering.