
Advanced Mathematical Methods
Adam Ostaszewski(Author)
Cambridge University Press
Published on 25. January 1991
Book
Hardback
560 pages
978-0-521-24788-7 (ISBN)
Description
Written in an appealing and informal style, this text is a self-contained second course on mathematical methods dealing with topics in linear algebra and multivariate calculus that can be applied to statistics, operations research, computer science, econometrics and mathematical economics. The prerequisites are elementary courses in linear algebra and calculus, but the author has maintained a balance between a rigorous theoretical and a cookbook approach, giving concrete and geometric explanations, so that the material will be accessible to students who have not studied mathematics in depth. Indeed, as much of the material is normally available only in technical textbooks, this book will have wide appeal to students whose interest is in application rather than theory. The book is amply supplied with examples and exercises: complete solutions to a large proportion of these are provided.
Reviews / Votes
"A wonderful reference book." The American Mathematical MonthlyMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 37 mm
Weight
1050 gr
ISBN-13
978-0-521-24788-7 (9780521247887)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Adam Ostaszewski
Advanced Mathematical Methods
E-Book
01/1991
1st Edition
Cambridge University Press
€70.99
Available for download
Person
Adam Ostaszewski is a lawyer by profession who lives in Poland. He is an author of novels and short stories. He is also a fan of historical, science fiction and political fiction literature. "Reflection" is his publishing debut.
Content
Preface; Part I. Linear Algebra: 1. Vector spaces (revision); 2. Geometry in R; 3. Matrices; 4. Projections; 5. Spectral theory; 6. The upper triangular form; 7. The tri-diagonal form; 8. Inverses; 9. Convexity; 10. The separating hyperplane theorem; 11. Linear inequalities; 12. Linear programming and game theory; 13. The simplex method; 14. Partial derivatives (revision); 15. Convex functions; 16. Non-linear programming; Part II. Advanced Calculus: 1. The integration process; 2. Manipulation of integrals; 3. Multiple integrals; 4. Differential and difference equations (revision); 5. Laplace transforms; 6. Series solutions of differential equations; 7. Calculus of variations; Part III. Solutions to Selected Exercises; Index.