Symbolic Mathematics with Python

Erscheinungsjahr 2025
ISBN: 978-3-031-90521-6
Verlag: Springer

Buch, Englisch, 249 Seiten, Format (B × H): 173 mm x 246 mm, Gewicht: 623 g

Reihe: Synthesis Lectures on Mathematics & Statistics

This book provides a hands-on approach to computer symbolic computation using the elementary commands of Python. Symbolic computer mathematics is the study of algorithms that can be implemented as computer programs which provide exact results rather than numerical approximations. The author begins by discussing Python essentials an number theory. Then, the book covers the simplification and evaluation of expressions involving multivariate rational functions, the exact solutions of systems of linear equations, and applications of polynomial algebra. Programs in symbolic differentiation and indefinite integration programs are also developed.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Junghenn, Hugo D.

Fachgebiete

• Mathematik | Informatik Mathematik Algebra Zahlentheorie
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik

Inhaltsverzeichnis

Python Essentials.- Number Theory.- Rational Arithmetic.- Matrix Algebra.- Polynomial Algebra.- Polynomial Applications.- Multivariate Rational Algebra.- Differentiation.- Integration.

Über Autor(innen)

Hugo D. Junghenn, Ph.D., is Emeritus Professor of Mathematics at George Washington University. He has previously served as the chair of the Department of Mathematics. Dr. Junghenn has written papers in the areas of functional analysis and topological semigroups, books in analysis, and a recent book on programming discrete mathematics.