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Mathematics for Economics and Business

ISBN-10: 0273701959

ISBN-13: 9780273701958

Edition: 5th 2006 (Revised)

Authors: Ian Jacques

List price: $126.60
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Mathematics for Economics and Business provides a thorough foundation in mathematical methods for economics, business studies and accountancy students. Assuming little prior knowledge, this informal text is a great companion for those who have not studied maths in depth before. This book truly promotes self-study as students are encouraged to tackle problems as they go along and can see fully worked examples to help their understanding. Both beginners and more advanced students will find material in this book relevant to their needs.
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Book details

List price: $126.60
Edition: 5th
Copyright year: 2006
Publisher: Prentice Hall PTR
Binding: Paperback
Pages: 696
Size: 7.75" wide x 10.50" long x 1.00" tall
Weight: 2.838
Language: English

Introduction: Getting Started
Notes for students: how to use this book
Getting started with Excel
Getting started with Maple
Linear Equations
Graphs of linear equations
Algebraic solution of simultaneous linear equations
Supply and demand analysis
Transposition of formulae
National income determination
Non-linear Equations
Quadratic functions
Revenue, cost and profit
Indices and logarithms
The exponential and natural logarithm functions
Mathematics of Finance
Compound interest
Geometric series
Investment appraisal
The derivative of a function
Rules of differentiation
Marginal functions
Further rules of differentiation
Optimization of economic functions
Further optimization of economic functions
The derivative of the exponential and natural logarithm functions
Partial Differentiation
Functions of several variables
Partial elasticity and marginal functions
Comparative statics
Unconstrained optimization
Constrained optimization
Lagrange multipliers
Indefinite integration
Definite integration
Basic matrix operations
Matrix inversion
Cramer's rule
Input-output analysis
Linear Programming
Graphical solution of linear programming problems
Applications of linear programming
Difference equations
Differential equations
Differentiation from First Principles
Implicit Differentiation
Solutions to Problems