
Linear Algebra, Step by Step
Description
Book Introduction
Readers can understand and learn on their own by following the explanations that gradually and clearly present everything from the basic concepts of linear algebra to difficult application problems through step-by-step explanations and abundant problems.
Additionally, it is structured in a way that concise questions and clear answers are presented first, and related explanations are described in easy and detailed manner, so that the core of the topic can be clearly grasped just by reading the 'question-answer' section.
Additionally, it is structured in a way that concise questions and clear answers are presented first, and related explanations are described in easy and detailed manner, so that the core of the topic can be clearly grasped just by reading the 'question-answer' section.
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index
Chapter 1 Linear Equations and Matrices
1.1 Systems of linear equations
1.2 Gaussian elimination
1.3 Vector Operations
1.4 Matrix Operations
1.5 Matrix Algebra
1.6 Transpose and inverse matrices
1.7 Types of solutions
1.8 How to find the inverse matrix
Chapter 1 Comprehensive Problems
Chapter 2 Euclidean Space
2.1 Properties of vectors
2.2 Another property of vectors
2.3 Primary independence
2.4 Basis and generating sets
Chapter 2 Comprehensive Problems
Chapter 3 General Vector Spaces
3.1 General vector space
3.2 Subspace
3.3 Primary Independence and Basis
3.4 dimensions
3.5 Properties of matrices
3.6 Reviewing the System of Linear Equations
Chapter 3 Comprehensive Problems
Chapter 4 Inner Space
4.1 Inner space
4.2 Inequalities and Orthogonality
4.3 Orthogonal basis
4.4 Orthogonal matrix
Chapter 4 Comprehensive Problems
Chapter 5 Linear Transformations
5.1 Linear transformation
5.2 Core and domain of linear transformations
5.3 Coefficients and degeneracy orders
5.4 Inverse transformation
5.5 Matrix of linear transformation
5.6 Composition of inverse and linear transformations
Chapter 5 Comprehensive Problems
Chapter 6 Determinants and Inverse Matrices
6.1 Determinant
6.2 Determinants of various matrices
6.3 Properties of determinants
6.4 LU decomposition
Chapter 6 Comprehensive Problems
Chapter 7 Eigenvalues and Eigenvectors
7.1 Eigenvalues and Eigenvectors
7.2 Properties of eigenvalues and eigenvectors
7.3 Diagonalization
7.4 Diagonalization of symmetric matrices
7.5 Singular value decomposition
Chapter 7 Comprehensive Problems
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1.1 Systems of linear equations
1.2 Gaussian elimination
1.3 Vector Operations
1.4 Matrix Operations
1.5 Matrix Algebra
1.6 Transpose and inverse matrices
1.7 Types of solutions
1.8 How to find the inverse matrix
Chapter 1 Comprehensive Problems
Chapter 2 Euclidean Space
2.1 Properties of vectors
2.2 Another property of vectors
2.3 Primary independence
2.4 Basis and generating sets
Chapter 2 Comprehensive Problems
Chapter 3 General Vector Spaces
3.1 General vector space
3.2 Subspace
3.3 Primary Independence and Basis
3.4 dimensions
3.5 Properties of matrices
3.6 Reviewing the System of Linear Equations
Chapter 3 Comprehensive Problems
Chapter 4 Inner Space
4.1 Inner space
4.2 Inequalities and Orthogonality
4.3 Orthogonal basis
4.4 Orthogonal matrix
Chapter 4 Comprehensive Problems
Chapter 5 Linear Transformations
5.1 Linear transformation
5.2 Core and domain of linear transformations
5.3 Coefficients and degeneracy orders
5.4 Inverse transformation
5.5 Matrix of linear transformation
5.6 Composition of inverse and linear transformations
Chapter 5 Comprehensive Problems
Chapter 6 Determinants and Inverse Matrices
6.1 Determinant
6.2 Determinants of various matrices
6.3 Properties of determinants
6.4 LU decomposition
Chapter 6 Comprehensive Problems
Chapter 7 Eigenvalues and Eigenvectors
7.1 Eigenvalues and Eigenvectors
7.2 Properties of eigenvalues and eigenvectors
7.3 Diagonalization
7.4 Diagonalization of symmetric matrices
7.5 Singular value decomposition
Chapter 7 Comprehensive Problems
Search
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Publisher's Review
A unique and effective way to learn linear algebra
1.
Step-by-step explanations and abundant problems
This is the most striking strength of this book.
From basic linear algebra concepts to difficult application problems
Following the explanations that are presented gradually and clearly
Readers can understand and learn on their own.
2.
A lively 'question-answer' format
This book first presents simple questions and clear answers to them.
It is structured in a way that provides easy and detailed explanations of the relevant information.
Even if you just read the 'Questions and Answers', you can clearly grasp the core of the topic.
1.
Step-by-step explanations and abundant problems
This is the most striking strength of this book.
From basic linear algebra concepts to difficult application problems
Following the explanations that are presented gradually and clearly
Readers can understand and learn on their own.
2.
A lively 'question-answer' format
This book first presents simple questions and clear answers to them.
It is structured in a way that provides easy and detailed explanations of the relevant information.
Even if you just read the 'Questions and Answers', you can clearly grasp the core of the topic.
GOODS SPECIFICS
- Publication date: June 28, 2021
- Page count, weight, size: 580 pages | 210*270*20mm
- ISBN13: 9791156645559
- ISBN10: 1156645557
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