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Linear Algebra I

Matrices and Row operations

Linear Algebra I
4,6 (22 läsarrecensioner)
ISBN: 978-87-403-0010-9
1. Utgåva
Sidor : 208
  • Price: 129,00 kr
  • Price: €13,99
  • Price: £13,99
  • Price: ₹250
  • Price: $13,99
  • Price: 129,00 kr
  • Price: 129,00 kr

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Om boken

  1. Förklaring
  2. Innehåll

Förklaring

This consists of the elementary aspects of linear algebra which depend mainly on row operations involving elementary manipulations of matrices. The field of scalars is typically the field of complex numbers.

Innehåll

  1. Preface
  2. Preliminaries
    1. Sets And Set Notation
    2. Functions
    3. The Number Line And Algebra Of The Real Numbers
    4. Ordered fields
    5. The Complex Numbers
    6. Exercises
    7. Completeness of R
    8. Well Ordering And Archimedean Property
    9. Division And Numbers
    10. Systems Of Equations
    11. Exercises
    12. Fn
    13. Algebra in Fn
    14. Exercises
    15. The Inner Product In Fn
    16. What Is Linear Algebra?
    17. Exercises
  3. Matrices And Linear Transformations
    1. Matrices
    2. Exercises
    3. Linear Transformations
    4. Subspaces And Spans
    5. An Application To Matrices
    6. Matrices And Calculus
    7. Exercises
  4. Determinants
    1. Basic Techniques And Properties
    2. Exercises
    3. The Mathematical Theory Of Determinants
    4. The Cayley Hamilton Theorem
    5. Block Multiplication Of Matrices
    6. Exercises
  5. Row Operations
    1. Elementary Matrices
    2. The Rank Of A Matrix
    3. The Row Reduced Echelon Form
    4. Rank And Existence Of Solutions To Linear Systems
    5. Fredholm Alternative
    6. Exercises
  6. Some Factorizations
    1. LU Factorization
    2. Finding An LU Factorization
    3. Solving Linear Systems Using An LU Factorization
    4. The PLU Factorization
    5. Justification For The Multiplier Method
    6. Existence For The PLU Factorization
    7. The QR Factorization
    8. Exercises
  7. Linear Programming
    1. Simple Geometric Considerations
    2. The Simplex Tableau
    3. The Simplex Algorithm
    4. Finding A Basic Feasible Solution
    5. Duality
    6. Exercises
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