Elements of Mathematics for Economics and Finance - Mavron, Vassilis C.; Phillips, Timothy N.; - Prospero Internetes Könyváruház

 
A termék adatai:

ISBN13:9783031439094
ISBN10:30314390911
Kötéstípus:Keménykötés
Terjedelem:384 oldal
Méret:235x155 mm
Súly:856 g
Nyelv:angol
Illusztrációk: 84 Illustrations, black & white
825
Témakör:

Elements of Mathematics for Economics and Finance

 
Kiadás sorszáma: 2nd ed. 2023
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
Normál ár:

Kiadói listaár:
EUR 69.54
Becsült forint ár:
29 644 Ft (28 233 Ft + 5% áfa)
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23 716 (22 586 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 5 929 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
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  példányt

 
Rövid leírás:

Based on over 15 years? experience in the design and delivery of successful first-year courses, this book equips undergraduates with the mathematical skills required for degree courses in economics, finance, management, and business studies. The book starts with a summary of basic skills and takes its readers as far as constrained optimisation helping them to become confident and competent in the use of mathematical tools and techniques that can be applied to a range of problems in economics and finance.

Designed as both a course text and a handbook, the book assumes little prior mathematical knowledge beyond elementary algebra and is therefore suitable for students returning to mathematics after a long break. The fundamental ideas are described in the simplest mathematical terms, highlighting threads of common mathematical theory in the various topics.

Features of the book include:

  • a systematic approach: ideas are touched upon, introduced gradually and then consolidated through the use of illustrative examples;
  • several entry points to accommodate differing mathematical backgrounds;
  • numerous problems, with full solutions, and exercises to illustrate the theory and applications;
  • key learning objectives and self-assessment questions provided for each chapter;
  • full solutions to exercises, available to lecturers via the web.

Vass Mavron is Emeritus Professor of Mathematics at Aberystwyth University. Tim Phillips is Professor of Applied Mathematics in the School of Mathematics at Cardiff University.

Hosszú leírás:
Based on over 15 years? experience in the design and delivery of successful first-year courses, this book equips undergraduates with the mathematical skills required for degree courses in economics, finance, management, and business studies. The book starts with a summary of basic skills and takes its readers as far as constrained optimisation helping them to become confident and competent in the use of mathematical tools and techniques that can be applied to a range of problems in economics and finance.Designed as both a course text and a handbook, the book assumes little prior mathematical knowledge beyond elementary algebra and is therefore suitable for students returning to mathematics after a long break. The fundamental ideas are described in the simplest mathematical terms, highlighting threads of common mathematical theory in the various topics.



Features of the book include:



  • a systematic approach: ideas are touched upon, introduced gradually and thenconsolidated through the use of illustrative examples;
  • several entry points to accommodate differing mathematical backgrounds;
  • numerous problems, with full solutions, and exercises to illustrate the theory and applications;
  • key learning objectives and self-assessment questions provided for each chapter;
  • full solutions to exercises, available to lecturers via the Springer Nature Extramaterial - Lecturer Material website.

Vass Mavron is Emeritus Professor of Mathematics at Aberystwyth University. Tim Phillips is Professor of Applied Mathematics in the School of Mathematics at Cardiff University.

Tartalomjegyzék:
- 1. Essential Skills. - 2. Linear Equations. - 3. Quadratic Equations. - 4. Functions of a Single Variable.. - 5. The Exponential and Logarithmic Functions. - 6. Differentiation. - 7. Maxima and Minima. - 8. Partial Differentiation. - 9. Optimization. - 10. Matrices and Determinants.. - 11. Integration. - 12. Linear Difference Equations. - 13. Differential Equations.