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NLAUG982

Numerical Linear Algebra (undergraduate)

  • Direct and iterative methods for solving Ax=b
  • Iterative methods for solving eigenvalue problem
  • Least squares problem and related problems
Prerequisites: 
  • Foundation of Numerical Analysis
  • Linear Algebra
  • MATLAB programming
Grading Policy: 
  • 4-6 points quiz, projects and homeworks
  • 6-8 points midterm exam
  • 7-9 points final exam
Teacher Assistants: 

Miss F. Sharifi (M.Sc. graduate)

Time: 

Mondays & Wednesdays 8-10

Term: 
Winter 2020
Grade: 
Undergraduate

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