Maths for Economics -

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Résumé :
Maths for Economics provides a comprehensive and solid foundation in core mathematical principles and methods used in economics, beginning with revisiting basic skills in arithmetic, algebra, equation solving, and slowly building to more advanced topics. Suitable for those with a range of prior school-level expereince or more generally for those who feel they need to go back to the very basics, students can learn with confidence. Drawing on his extensive experience of teaching in the area, the author appreciates that maths can be a daunting topic for many. As such the text is fully supports the reader by using a combination of engaging learning features including summary sections, examples to show how theory is used in practice and progress exercises, which encourage independent study. Each chapter ends with a conclusion check list to allow students to reflect on topics as they master them. Digital formats and resources The fifth edition is available for students and institutions to purchase in a variety of formats, and is supported by online resources. The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks Online resources supporting the book include, For Students: - Ask the author forum - Excel tutorial - Maple tutorial - Further exercises - Answers to further questions - Expanded solutions to progress exercises For Lecturers: - Test exercises - Graphs from the book - Answers to test exercises...

Biographie:
partial elasticities...

Sommaire:

• Part One: Foundations
• 1: Arithmetic
• 2: Algebra
• 3: Linear equations
• 4: Quadratic equations
• 5: Some further equations and techniques
• Part Two: Optimization With One Independent Variable
• 6: Derivatives and differentiation
• 7: Derivatives in action
• 8: Economic applications of functions and derivatives
• 9: Elasticity
• Part Three: 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 Four: Optimization 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 homogenous functions...