Numerical Optimization
| Hours: 3 0 3 |
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Computer optimization techniques; unconstrained optimization; steepest descent or conjugate gradient method; Newton method; quasi Newton methods; Fibonacci and Golden search methods; constrained optimization; Lagrange multiplier; greedy methods; projection methods of linear programming.
| Pre-requisites: none | Co-requisites: none |
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
