April 6th, 2006, 12:22 am
I dont have a strong background in Math. All I got from my undergraduate study is standard calculus, linear algebra and some prob and stat. I did learn a lot about probability(calculus based), statistical inference and econometrics in my MS study in Economics. Im working full time now and trying to get myself more math. I have taken a PDE course (Seperation of Variables, Laplace, Fourier Series, Fourier Transform and etc) and a course in numerical method (focusing on using FDM to solve PDE: explicit, Crank Nicholsom, ADI and etc). For next semester, Im looking at two courses:(1) Numerical Linear Algebra: not really sure what it is about. I do want to take the chance to refresh my Linear Algebra and learn more about it.(2) Calculus of Variations and Control Theory: This course covers: Optimization with constraints, Functionals, Euler's equation, Weiserstrass-Erdmann corner conditions, integral constraints and isoperimetric problem, fields of extremals and Hilbert's invariant integral, sufficiency conditions, conjugate points and Jacobi equation, introduction to optimal control, Pontryagin maximum principle, optimal control to target curves, time-optimal and fuel-optimal control of linear systems, singular control, and the calculus of variations revisited. Computational methods as well as applications to engineering areas will also be discussed.Which one is more helpful in terms of quantitative finance? Given that I can only take one course each semester. (BTW, i will not worry about not having sufficient background for a course. I can pick up things fast and I'm willing to devote time to study. Professors have always been helpful.)Thanks a lot for your help.Wondering
Last edited by
wondering on April 5th, 2006, 10:00 pm, edited 1 time in total.