Linear Algebra. Lecture 4 презентация

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Learning Objectives: 1. The meaning and characterizations of invertible matrix. 2. Finding the LU factorization

of the matrix. 3. Subspaces, Column Spaces and Null Spaces.

Learning Objectives: 1. The meaning and characterizations of invertible matrix. 2. Finding the

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2.2 The Inverse of a Matrix.

2.2 The Inverse of a Matrix.

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An Algorithm for Finding A-1

An Algorithm for Finding A-1

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2.3. Characterizations of Invertible Matrices.

2.3. Characterizations of Invertible Matrices.

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2.4. Partitioned Matrices.

A block matrix or a partitioned matrix is a partition of a matrix

into rectangular smaller matrices called blocks.

2.4. Partitioned Matrices. A block matrix or a partitioned matrix is a partition

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2.5. Matrix Factorizations.

A factorization of a matrix A is an equation that expresses

A as a product of two or more matrices.

The LU Factorization

Ly=b
Ux=y

2.5. Matrix Factorizations. A factorization of a matrix A is an equation that

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1)

2)

1) 2)

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2.8. Subspaces of Rn.

2.8. Subspaces of Rn.

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Column Space and Null Space of a Matrix

Column Space and Null Space of a Matrix

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2.9. Dimension and Rank.

2.9. Dimension and Rank.

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