Linear algebra with applications to economic

By:

Khrushchev, Sergey

Material type: Text

TextPublication details: Swiitzerland Springer 2024Description: xvi, 379 pISBN:

9783031686818

Subject(s):

Linear algebra

DDC classification:

512.5 KHR

Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-68682-5)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	512.5 KHR (Browse shelf(Opens below))	1	Available		008918

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Table of contents:
Front Matter
Pages i-xvi
Download chapter PDF
Gauss-Jordan Elimination
Sergey Khrushchev
Pages 1-83
Gauss Bases
Sergey Khrushchev
Pages 85-138
Inverse Matrices and Determinants
Sergey Khrushchev
Pages 139-218
Vector Spaces
Sergey Khrushchev
Pages 219-256
Diagonalization
Sergey Khrushchev
Pages 257-310
Inner Product Spaces
Sergey Khrushchev
Pages 311-344
Regression
Sergey Khrushchev
Pages 345-374
Back Matter
Pages 375-379

[https://link.springer.com/book/10.1007/978-3-031-68682-5]

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.

(https://link.springer.com/book/10.1007/978-3-031-68682-5)

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