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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
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Structured Matrices In Algorithm Design | MAT601 | Elective | Doctorate degree | 1 | Fall | 8 |
Associate Prof. Dr. Arzu COŞKUN
Associate Prof. Dr. Hülya KODAL SEVİNDİR
1) Define structured matrices (Toeplitz, Hankel, Cauchy, Pick, etc.)
2) State displacement operator and its usage at algorithm design
3) State fast matrix multiplication techniques and comprehend methods to get faster solutions for Toeplitz and Toeplitz-like linear systems
4) Explain the application steps for divide and conquer method for structured matrices
5) State eigenproblem
Program Competencies | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
Learning Outcomes | ||||||||
1 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
2 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
3 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
5 | No relation | No relation | No relation | No relation | No relation | No relation | No relation |
Face to Face
None
Not Required
Structured matrices (Toeplitz, Hankel, Cauchy, Pick, etc.). Algorithms for structured matrices. Displacement transformation and its use to design algorithms. Inverse displacement operator. Fast matrix multiplication techniques. A version of Divide-and-Conquer method on some structured matrices. Eigenproblem. Tridiagonal eigenproblem.
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% |
Turkish
Not Required