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Mathematics for Business Analysis. Comprehensive Mathematical Techniques and Applications for Business
Mercury Learning and Information, Paul Turner, Justine Wood
Ebook
This book is designed for students, faculty, and professionals, describing the role of mathematics in economics and business. Starting with the basics of numbers and advancing into complex topics like hyperreal numbers and set theory, the book builds a strong foundation of mathematical concepts. Python code is used throughout to illustrate problems numerically, making the material accessible and practical.
Readers will learn about linear simultaneous equations for market equilibrium analysis and the mechanics of matrices for solving larger systems. The book covers calculus, with applications in economics, including profit maximization and factor optimization, and introduces infinitesimal methods. Chapters on differential and difference equations reveal their importance in analyzing dynamic systems, all illuminated through practical examples and images from economics and business.
The course begins with fundamental mathematical concepts, advancing to complex applications in economics and business. By integrating computational understanding with Python code, the book ensures learners can tackle real-world problems. This structured approach provides the tools needed for economic analysis and business decision-making, making it an invaluable resource for anyone in these fields.
Readers will learn about linear simultaneous equations for market equilibrium analysis and the mechanics of matrices for solving larger systems. The book covers calculus, with applications in economics, including profit maximization and factor optimization, and introduces infinitesimal methods. Chapters on differential and difference equations reveal their importance in analyzing dynamic systems, all illuminated through practical examples and images from economics and business.
The course begins with fundamental mathematical concepts, advancing to complex applications in economics and business. By integrating computational understanding with Python code, the book ensures learners can tackle real-world problems. This structured approach provides the tools needed for economic analysis and business decision-making, making it an invaluable resource for anyone in these fields.
- 1. Sets, Numbers, and Algebra
- 2. Lines, Curves, Functions, and Equations
- 3. Simultaneous Equations
- 4. Derivatives and Differentiation
- 5. Optimization
- 6. Optimization of Multivariable Functions
- 7. Integration
- 8. Matrices
- 9. First-Order Differential Equations
- 10. Second-Order Differential Equations
- 11. Difference Equations
- Title: Mathematics for Business Analysis. Comprehensive Mathematical Techniques and Applications for Business
- Author: Mercury Learning and Information, Paul Turner, Justine Wood
- Original title: Mathematics for Business Analysis. Comprehensive Mathematical Techniques and Applications for Business
- ISBN: 9781836640622, 9781836640622
- Date of issue: 2024-08-09
- Format: Ebook
- Item ID: e_45om
- Publisher: Mercury_Learning