Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010226174 | HB135 R46 2009 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
Maths for Economics provides a solid foundation in mathematical principles and methods for economics and business students. It aims to build self-confidence in maths, by adopting a user-friendly style and by reinforcing learning at each step through worked examples and test exercises. The book assumes no prior knowledge of mathematics or economics and the author devotes part one to the revision and consolidation of basic skills in arithmetic, algebra and equation solving. From here there is a carefully calculated learning gradient, increasing in mathematical sophistication as the book progresses, designed to ensure a comprehensive understanding of the concepts for any student. In this latest edition there is a new 4 colour design intended to enhance the pedagogical features in the chapters. Extra material on advanced topics such as Taylor's theorum and comparative statics will be available on the Online Resource Centre.The online resource centre contains the following resources:For Students:Ask the author forumExcel tutorialMaple tutorialFurther exercisesAnswers to further questionsExpanded solutions to progress exercisesFor Lecturers (password protected):Test exercisesGraphs from the bookAnswers to test exercisesPowerPoint presentationsInstructor manual
Author Notes
Geoff Renshaw is in the Department of Economics at the University of Warwick.
Table of Contents
Part 1 Foundations |
1 Arithmetic |
2 Algebra |
3 Linear equations |
4 Quadratic equations |
5 Some further equations and techniques |
Part 2 Optimisation with one independent variable |
6 Derivatives and differentiation |
7 Derivatives in action |
8 Economic applications of functions and derivatives |
9 Elasticity |
Part 3 Mathematics of finance and growth |
10 Compound growth and present discounted value |
11 The exponential function and logarithms |
12 Continuous growth and the natural exponential function |
13 Derivatives of exponential and logarithmic functions and their applications |
Part 4 Optimisation with two or more independent variables |
14 Functions of two or more independent variables |
15 Maximum and minimum values, the total differential and applications |
16 Constrained maximum and minimum values |
17 Returns to scale and homogeneous functions; partial elasticities; logarithmic scales; growth accounting |
Part 5 Some further topics |
18 Integration |
19 Matrix algebra |
20 Difference and differential equations |