Basic Information
1. Numerical Linear Algebra# Svd, Least Squares, Qr Decomposition, Eigenvalue Problems and The Qr Algorithm. 2. Dft/fft# Discrete Fourier Transform, Fast Fourier Transform. 3. Numerical Methods For Odes# Initial Value Problems,one Step Methods ,consistency/stability/accuracy, Multi-step, Bdf, Runge-kutta Methods. Learning Outcomes# 1. Use of Algorithms to Solve Least Squares Problems and Eigenvalue Problems. 2. Use of Spectral Methods to Solve Boundary Value Problems. 3. Development Or Choice of a Suitable Numerical Scheme For Solving A Given Ode. 4. Analysis of The Accuracy and Stability of a Given Numerical Scheme For Odes.
Faculty: Mathematics
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(104166 - Algebra Am and 104168 - Algebra B and 104283 - Introduction to Numerical Analysis and 104285 - Ordinary Differential Equations A)
Semestrial Information
Weekly Hours
3 Academic Credit • 3 Lecture Hours
Responsible(s)
Ron Levie
Registration Groups
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Weekly Hours
3 Academic Credit • 3 Lecture Hours
Responsible(s)
Ron Levie
Notes
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הקורס יועבר בשפה האנגלית
Registration Groups
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Weekly Hours
3 Academic Credit • 3 Lecture Hours
Responsible(s)
Nir Gavish
Registration Groups
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