Bridge To Linear Algebra, A

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A01=Dragu Atanasiu
A01=Piotr Mikusinski
Author_Dragu Atanasiu
Author_Piotr Mikusinski
Category=PBF
Cross Product
Determinant
Diagonalization
Dot Product
Eigenvalue
Eigenvector
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Gauss Elimination
Geometry
Linear Algebra
Linear Independence
Linear Transformations
Matrix
Orthogonal
Quadratic Forms
Rotations
Singular Value Decomposition
System of Equations
Vector
Vector Spaces

Product details

  • ISBN 9789811201462
  • Publication Date: 30 May 2019
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Paperback
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'The last section is an interesting collection of geometry problems and their solutions from various International Mathematics Olympics … There are a sufficient number of exercises at the end of each chapter, and the answers to half of them are included at the end of the book, with an occasional full solution here and there. The book prepares the reader for a traditional introductory textbook in linear algebra.'CHOICEThe book makes a first course in linear algebra more accessible to the majority of students and it assumes no prior knowledge of the subject. It provides a careful presentation of particular cases of all core topics. Students will find that the explanations are clear and detailed in manner. It is considered as a bridge over the obstacles in linear algebra and can be used with or without the help of an instructor.While many linear algebra texts neglect geometry, this book includes numerous geometrical applications. For example, the book presents classical analytic geometry using concepts and methods from linear algebra, discusses rotations from a geometric viewpoint, gives a rigorous interpretation of the right-hand rule for the cross product using rotations and applies linear algebra to solve some nontrivial plane geometry problems.Many students studying mathematics, physics, engineering and economics find learning introductory linear algebra difficult as it has high elements of abstraction that are not easy to grasp. This book will come in handy to facilitate the understanding of linear algebra whereby it gives a comprehensive, concrete treatment of linear algebra in R² and R³. This method has been shown to improve, sometimes dramatically, a student's view of the subject.

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