A clear and thorough text, which provides a solid foundation in the core mathematical principles and methods used in economics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Geoff Renshaw, Retired maths for economics lecturer, University of Warwick
Inhaltsangabe
* 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; partial elasticities; growth accounting; logarithmic scales * Part Five: Some Further Topics * 18: Integration * 19: Matrix algebra * 20: Difference and differential equations * 21: W21:Extensions and future directions
* 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; partial elasticities; growth accounting; logarithmic scales * Part Five: Some Further Topics * 18: Integration * 19: Matrix algebra * 20: Difference and differential equations * 21: W21:Extensions and future directions
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