Mathematics for Business Analysis
Publisher:Mercury Learning and Information
By: Paul Turner and Justine Wood
Paid access
|Dec 2023
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Sets, Numbers, and Algebra
Chapter 2: Lines, Curves, Functions, and Equations
Chapter 3: Simultaneous Equations
Chapter 4: Derivatives and Differentiation
Chapter 5: Optimization
Chapter 6: Optimization of Multivariable Functions
Chapter 7: Integration
Chapter 8: Matrices
Chapter 9: First-Order Differential Equations
Chapter 10: Second-Order Differential Equations
Chapter 11: Difference Equations
Appendix A: Coding in PYTHON
Appendix B: Odd Numbered Exercises Answers
Index
17 chapters available
PDF ISBN: 978-1-68392-936-9 | E-Pub ISBN: 978-1-68392-935-2 | Hardback ISBN: 978-1-68392-937-6 | DOI: 10.1515/9781683929369
Publisher: Mercury Learning and Information
Copyright owner: © 2024 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 360
Keywords:
