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Linear algebra: core topics for the second course

By:

Dragu Atanasiu

Contributor(s):

Mikusinski, Piotr

Material type: Text

TextPublication details: World Scientific Publishing Singapore 2024Description: ix, 322 pISBN:

9798886130225

Subject(s):

Algebras, Linear

DDC classification:

512.5 DRA

Summary: This is a book for the second course in linear algebra whereby students are assumed to be familiar with calculations using real matrices. To facilitate a smooth transition into rigorous proofs, it combines abstract theory with matrix calculations. This book presents numerous examples and proofs of particular cases of important results before the general versions are formulated and proved. The knowledge gained from a particular case, that encapsulates the main idea of a general theorem, can be easily extended to prove another particular case or a general case. For some theorems, there are two or even three proofs provided. In this way, students stand to gain and study important results from different angles and, at the same time, see connections between different results presented in the book. (https://www.worldscientific.com/worldscibooks/10.1142/12898#t=aboutBook)

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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 DRA (Browse shelf(Opens below))	1	Available		006401

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Previous	511.8 BIE Explanatory model analysis: explore, explain, and examine predictive models	512.5 ANT Elementary linear algebra: with supplemental applications	512.5 BRE Linear algebra with applications	512.5 DRA Linear algebra: core topics for the second course	512.5 HAV Linear algebra for data science	512.5 JEA Linear algebra and optimization with applications to machine learning: linear algebra for computer vision, robotics, and machine learning	512.5 JOH Introduction to linear and matrix algebra	Next

This is a book for the second course in linear algebra whereby students are assumed to be familiar with calculations using real matrices. To facilitate a smooth transition into rigorous proofs, it combines abstract theory with matrix calculations.

This book presents numerous examples and proofs of particular cases of important results before the general versions are formulated and proved. The knowledge gained from a particular case, that encapsulates the main idea of a general theorem, can be easily extended to prove another particular case or a general case. For some theorems, there are two or even three proofs provided. In this way, students stand to gain and study important results from different angles and, at the same time, see connections between different results presented in the book.

(https://www.worldscientific.com/worldscibooks/10.1142/12898#t=aboutBook)

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