Mathematics of economics analysis
Sydsaeter, Knut
Mathematics of economics analysis - Noida Pearson 1995 - 1000 p. with index
Table of contents
1. Introduction.
2. Functions of One Variable: Introduction.
3. Polynomials, Powers, and Exponentials.
4. Single Variable Differentiation.
5. More on Differentiation.
6. Limits, Continuity, and Series.
7. Implications of Continuity and Differentiability.
8. Exponential and Logarithmic Functions.
9. Single Variable Optimization.
10. Integration.
11. Further Topics in Integration.
12. Linear Algebra: Vectors and Matrices.
13. Determinants and Matrix Inversion.
14. Further Topics in Linear Algebra.
15. Functions of Several Variables.
16. Toolkit for Comparative Statics.
17. Multivariable Optimization.
18. Constrained Optimization.
19. Linear Programming.
20. Difference Equations.
21. Differential Equations.
For sophomore-level and above courses in Mathematical Methods, Mathematics for Economists. An introduction to those parts of mathematical analysis and linear algebra which are most important for economists.offers the expertise and insights of a prominent economic theorist and a mathematician—both of whom have been teaching mathematics for economists for many years.assumes no previous knowledge of calculus, and includes (in appendices) extensive review of elementary algebra. focuses on the application of the essential mathematical ideas, rather than the economic theories which build upon them. features an abundance of examples and problems focusing on key ideas in microeconomics—but relevant to macroeconomics and econometrics as well.
https://www.pearson.com/us/higher-education/program/Sydsaeter-Mathematics-for-Economic-Analysis/PGM288464.html?tab=features
9788177581041
Economics--Mathematical models
Polynomials
Linear Algebra
Matrix
Linear Programming
Trigonometric
330.0151 / S9M2
Mathematics of economics analysis - Noida Pearson 1995 - 1000 p. with index
Table of contents
1. Introduction.
2. Functions of One Variable: Introduction.
3. Polynomials, Powers, and Exponentials.
4. Single Variable Differentiation.
5. More on Differentiation.
6. Limits, Continuity, and Series.
7. Implications of Continuity and Differentiability.
8. Exponential and Logarithmic Functions.
9. Single Variable Optimization.
10. Integration.
11. Further Topics in Integration.
12. Linear Algebra: Vectors and Matrices.
13. Determinants and Matrix Inversion.
14. Further Topics in Linear Algebra.
15. Functions of Several Variables.
16. Toolkit for Comparative Statics.
17. Multivariable Optimization.
18. Constrained Optimization.
19. Linear Programming.
20. Difference Equations.
21. Differential Equations.
For sophomore-level and above courses in Mathematical Methods, Mathematics for Economists. An introduction to those parts of mathematical analysis and linear algebra which are most important for economists.offers the expertise and insights of a prominent economic theorist and a mathematician—both of whom have been teaching mathematics for economists for many years.assumes no previous knowledge of calculus, and includes (in appendices) extensive review of elementary algebra. focuses on the application of the essential mathematical ideas, rather than the economic theories which build upon them. features an abundance of examples and problems focusing on key ideas in microeconomics—but relevant to macroeconomics and econometrics as well.
https://www.pearson.com/us/higher-education/program/Sydsaeter-Mathematics-for-Economic-Analysis/PGM288464.html?tab=features
9788177581041
Economics--Mathematical models
Polynomials
Linear Algebra
Matrix
Linear Programming
Trigonometric
330.0151 / S9M2