Do you need to brush up on your mathematical skills to truly excel in your economics or business course? If you want to increase your confidence in mathematics, then this is the perfect book for you. With its friendly and informal style, this market leading text breaks down topics into short sections making each new technique you learn seem less daunting. Offering you the chance at every opportunity to stop and check your understanding by working through the practice problems, you can relax and learn at your own pace. A brand new online learning resource for this edition available to users of this book. www.mymathlab.com/global An unrivalled online study and testing resource that generates a personalized study plan and provides extensive practice questions exactly where you need it. * Interactive questions with randomized values allow you practice the same concept as many times as you need until you master it. * Guided solutions break down the question for you step by step. * Audio animations talk you through key mathematical techniques * Full e book links out to the relevant part of the text while you are practicing. * Additional e chapters of extended topics taken out of the book See the Getting Started with MyMathlab Global section in the introduction for information on how to register and start using the resources.

Table of Contents

Preface Introduction: Getting Started Notes for students: how to use this book Getting started with MyMathLab Getting started with Excel Getting started with Maple 1 Linear Equations 1.1 Introduction to algebra 1.2 Further algebra 1.3 Graphs of linear equations 1.4 Algebraic solution of simultaneous linear equations 1.5 Supply and demand analysis 1.6 Transposition of formulae 1.7 National income determination 2 Non-linear Equations 2.1 Quadratic functions 2.2 Revenue, cost and profit 2.3 Indices and logarithms 2.4 The exponential and natural logarithm functions 3 Mathematics of Finance 3.1 Percentages 3.2 Compound interest 3.3 Geometric series 3.4 Investment appraisal 4 Differentiation 4.1 The derivative of a function 4.2 Rules of differentiation 4.3 Marginal functions 4.4 Further rules of differentiation 4.5 Elasticity 4.6 Optimization of economic functions 4.7 Further optimization of economic functions 4.8 The derivative of the exponential and natural logarithm functions 5 Partial Differentiation 5.1 Functions of several variables 5.2 Partial elasticity and marginal functions 5.3 Comparative statics 5.4 Unconstrained optimization 5.5 Constrained optimization 5.6 Lagrange multipliers 6 Integration 6.1 Indefinite integration 6.2 Definite integration 7 Matrices 7.1 Basic matrix operations 7.2 Matrix inversion 7.3 Cramer's rule 7.4 Input output analysis 8 Linear Progamming 8.1 Graphical solution of linear programming problems 8.2 Applications of linear programming  sp; 9 Dynamics 9.1 Difference equations 9.2 Differential equations Appendix 1 Differentiation from First Principles Appendix 2 Implicit Differentiation Appendix 3 Hessians Solutions to Problems Glossary Index

About the Author

Ian Jacques was formerly a senior lecturer in the School of Mathematical and Information Sciences at Coventry University. He has considerable experience teaching mathematical methods to students studying economics, business and accounting.