EE774:COMPUTATIONAL TECHNIQUES IN ELECTRICAL ENGINEERING
Important concepts in scientific computing such as profiling and timing,
parallelisation, floating point arithmetic, complex numbers, machine
Solution of non-linear equations with Newton-Raphson method, numerical
solution of ODEs using explicit and implicit methods, some circuit
simulation examples, numerical solution of Poisson`s equation,
some examples of optimisation methods.
Solving linear systems of equations, singular value decomposition,
condition number, and rank of a matrix.
Public-domain software tools such as Python, Octave, Maxima, useful
libraries for numerical work such as BLAS and LAPACK, and their use with
respect to the topics listed above.
R.L. Burden and J.D. Faires, "Numerical Analysis", Thomson, Singapore,