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Linear algebra

By: Contributor(s): Publication details: Pearson, 2015. Noida :Edition: 4/eDescription: 526 pages : 24 cmISBN:
  • 9789332549647
Subject(s): DDC classification:
  • 512.64  FRI
Contents:
1. Vector Spaces. 2. Linear Transformations and Matrices. 3. Elementary Matrix Operations and Systems of Linear Equations. 4. Determinants. 5. Diagonalization. 6. Inner Product Spaces.
Summary: This top-selling, theorem-proof text presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes the symbiotic relationship between linear transformations and matrices, but states theorems in the more general infinite-dimensional case where appropriate.
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Item type Current library Collection Call number Status Notes Date due Barcode
Books Books IIITDM Kurnool General Stacks 512.64 FRI (Browse shelf(Opens below)) Checked out MAT 18.01.2025 0000338
Books Books IIITDM Kurnool General Stacks 512.64 FRI (Browse shelf(Opens below)) Checked out MAT 18.01.2025 0000339
Books Books IIITDM Kurnool General Stacks 512.64 FRI (Browse shelf(Opens below)) Checked out MAT 17.01.2025 0000340
Books Books IIITDM Kurnool General Stacks 512.64 FRI (Browse shelf(Opens below)) Checked out MAT 17.01.2025 0000341
Reference Reference IIITDM Kurnool Reference Reference 512.64 FRI (Browse shelf(Opens below)) Not For Loan MAT 0000342
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512.897 HOF Linear algebra 512.64 FRI Linear algebra 512.64 FRI Linear algebra 512.64 FRI Linear algebra 512.64 FRI Linear algebra 512.64 FRI Linear algebra 512.64 STR Linear Algebra its Applications

1. Vector Spaces.
2. Linear Transformations and Matrices.
3. Elementary Matrix Operations and Systems of Linear Equations.
4. Determinants.
5. Diagonalization.
6. Inner Product Spaces.

This top-selling, theorem-proof text presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes the symbiotic relationship between linear transformations and matrices, but states theorems in the more general infinite-dimensional case where appropriate.

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