Linear Algebra with Applications to Economics
Series: Classroom Companion: Economics;
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27 229 Ft (25 932 Ft + 5% VAT)
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27 229 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2024
- Publisher Springer
- Date of Publication 1 September 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031686818
- Binding Hardback
- No. of pages379 pages
- Size 235x155 mm
- Language English
- Illustrations XVI, 379 p. 634
Categories
Short description:
This textbook is intended for students of Mathematical Economics and is based on my lectures on Linear Algebra delivered at Satbayev University in Almaty, Kazakhstan. The program closely aligns with that of the London School of Economics. The textbook extensively utilizes the concept of Gauss-Jordan elimination. Every subspace of the standard coordinate space possesses a unique Gauss basis. This observation significantly clarifies many aspects of Linear Algebra.
MoreLong description:
This textbook is intended for students of Mathematical Economics and is based on my lectures on Linear Algebra delivered at Satbayev University in Almaty, Kazakhstan. The program closely aligns with that of the London School of Economics. The textbook extensively utilizes the concept of Gauss-Jordan elimination. Every subspace of the standard coordinate space possesses a unique Gauss basis. This observation significantly clarifies many aspects of Linear Algebra. The covered topics are outlined in the table of contents.
MoreTable of Contents:
Gauss-Jordan Elimination.- Gauss Bases.- Inverse Matrices and Determinants.- Vector Spaces.- Diagonalization.- Inner Product Spaces.- Regression.- References.- Index.
More
Linear Algebra with Applications to Economics
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