Springer, 2025. — 1189 p. — ISBN 9819746302.
A majority of mathematics textbooks are written in a rigorous, concise, dry, and boring way. On the other hands, there exist excellent, engaging, fun-to-read popular math books. The problem with these popular books is the
lack of mathematics itself. This book is a
blend of both. It provides a mathematics book to read, to engage with, and to understand the
whys ― the story behind the theorems. Written by an
engineer, not a mathematician, who struggled to learn math in high school and in university, this book explains in an
informal voice the mathematics that future and current engineering and science students
need to acquire. If we learn math to understand it, to enjoy it, not to pass a test or an exam, we all learn math
better and there is
no such a thing that we call
math phobia. With a
slow pace and this book, everyone can learn math and use it, as the author did at the age of
40 and with a family to take care of.
Preface.
Acknowledgments.
Introduction.
Algebra.
Geometry and Trigonometry.
Calculus.
Probability.
Multivariable Calculus.
Differential Equations.
Calculus of Variations.
Linear Algebra.
Numerical Analysis.
Appendix A: Codes.
Appendix B: Data Science with Julia.
References.
Index.
True PDF