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Mathematics for Economics and Business

Mathematics for Economics and Business

Autorzy
Wydawnictwo Pearson Education
Data wydania 01/02/2018
Wydanie 9
Liczba stron 752
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
Język angielski
ISBN 9781292191669
Kategorie Ekonometria, Matematyka w biznesie i systematyka, Matematyka stosowana
258.00 PLN (z VAT)
$66.34 / €59.36 / £54.98 /
Produkt dostępny
Przesyłka w 2 dni
Ilość
Do schowka

Opis książki

Mathematics for Economics and Business, 9e is the essential resource you need when studying mathematics as part of your economics, management or business course.

 

Whatever your level of prior mathematical knowledge, ability or confidence, this book will guide you step-by-step through the key mathematical concepts and techniques you need to succeed. Starting with the basics, the book is designed to allow you to progress at your own pace, with a wealth of examples, practice exercises and self-test questions to check your understanding along the way. 

 

Worked examples throughout each chapter illustrate how mathematical concepts and techniques relate to the business world and encourage you to solve real problems yourself.

 

Over 200 new questions have been added to this new edition, with answers provided, making it a fantastic resource for revision purposes.

 

Additional online resources to support your learning, including an online homework and tutorial system can be accessed via MyLab Math Global. MyLab Math Global is not included. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. 

Mathematics for Economics and Business

Spis treści

1. Linear Equations

2. Non-Linear Equations

3. Mathematics of Finance

4. Differentiation

5. Partial Differentiation

6. Integration

7. Matrices

8. Linear Programming

9. Dynamics

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