Basic Information
Multigrid Methods For Problems With Many Variables, Especially Numerical Solution For Elliptic Partial Differential Equations. The Motivation and Applications Arise From Various Fields of Scientific Computing, Including Image Processing And Analysis. Topics Are# Basic Concepts, Local and Global Processing, Discretization, 1d Model Problem and Its Direct and Iterative Solution, Convergence Analysis, 2d Model Problem, Survey Of Classical Relaxation Methods, Error-smoothing By Relaxation, Grid-refinement, Two-grid and Multigrid Algorithms, Fourier Analysis of Convergence, Ellipticity and H-ellipticity, Nonlinear And Anisotropic Problems, Advanced Techniques, Algebraic Approach, Applications.
Faculty: Computer Science
|Undergraduate Studies
|Graduate Studies
Pre-required courses
234107 - Numerical Analysis 1 or 234125 - Numerical Algorithms
Course with no extra credit
Semestrial Information
Weekly Hours
2 Academic Credit • 2 Lecture Hours
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Responsible(s)
Irad Yavneh
Notes
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הקורס יועבר באנגלית.
Exams
Session A: 05-05-2024- אולמן 705.
Registration Groups
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Weekly Hours
2 Academic Credit • 2 Lecture Hours
Go to Course Page
Responsible(s)
Irad Yavneh
Notes
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סטודנטים מתואר ראשון רשאים להירשם רק מי שצבר 90 נקודות ומעלה (כולל סמסטר חורף).
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לרישום לקורס נא לפנות אל עירד יבנה במייל.
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הקורס יינתן בשפה האנגלית.
Registration Groups
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Weekly Hours
2 Academic Credit • 2 Lecture Hours
Go to Course Page
Responsible(s)
Irad Yavneh
Registration Groups
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