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Linear Algebra with Applications to Economics de Sergey Khrushchev

Linear Algebra with Applications to Economics: Classroom Companion: Economics

Autor Sergey Khrushchev
en Limba Engleză Hardback – 21 sep 2024
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.
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Specificații

ISBN-13: 9783031686818
ISBN-10: 3031686810
Pagini: 399
Ilustrații: Approx. 400 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.74 kg
Ediția:2025
Editura: Springer Nature Switzerland
Colecția Springer
Seria Classroom Companion: Economics

Locul publicării:Cham, Switzerland

Cuprins

Gauss-Jordan Elimination.- Gauss Bases.- Inverse Matrices and Determinants.- Vector Spaces.- Diagonalization.- Inner Product Spaces.- Regression.- References.- Index.

Notă biografică

Sergey Khrushchev is a Full Professor at Satbaev University, where he has been serving since August 1, 2018. Previously, he was a Full Professor at the International School of Economics at Kazakh-British Technical University from August 1, 2011, to May 31, 2018. He also held professorship positions at Eastern Mediterranean University in North Cyprus (2008-2010) and Atilim University in Ankara, Turkey (2001-2008).

Textul de pe ultima copertă

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. 

Caracteristici

Provides comprehensive coverage, from the Gauss-Jordan elimination method to the theory of generalized inverse matrices Integrates tools such as Matlab, Wolfram’s Mathematica, Microsoft Copilot, and ChatGPT Plus into the educational content Offers a practical approach, avoiding abstract theories and providing rigorous proofs illustrated with concrete examples