
Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Mathematical programming homework assignment for math 171b course taught by jennifer erway during spring quarter 2007. The assignment includes various exercises on quadratic functions, stationary points, and minimizers. Some exercises require the use of matlab.
Typology: Assignments
1 / 1
This page cannot be seen from the preview
Don't miss anything!

Instructor: Jennifer Erway Spring Quarter 2007
Homework Assignment # Due: Friday, May 4
The starred exercises are those that require the use of MATLAB Remember, you MUST do the MATLAB problems to get credit for the homework.
Exercise 5.1 Let q(x), x ∈ Rn, be the quadratic function q(x) = cTx + 12 xTHx, where H is symmetric.
(a). Write down an expression for ∇q(x) in terms of c, H and x.
(b). Given an arbitrary point x 0 and a direction p, write down the Taylor-series expansion of q(x 0 + p).
(c). For this part, consider q(x) such that H is positive definite. If p is a direction such that ∇q(x 0 )T^ p < 0, show that there exists a positive minimizer α∗^ of q(x 0 + αp). Derive a closed-form expression for α∗.
Exercise 5.2 Let f (x) denote a convex continuously differentiable function. Show that if a stationary point x∗^ exists then f (x∗) is the unique global minimum of f. (Hint: Use the result that f (x) is convex if and only if f (y) ≥ f (x) + f ′(x)(y − x) for all x and y).
Exercise 5.3 Write down the function value, gradient vector, and Hessian matrix of the function f (x) = 7 x 1 − x 2 + 3x^21 − x^22 at the point (− 1 , −1)T. If a stationary point exists, find its position and state the nature of the stationarity. Does f (x) have a bounded minimizer?
Exercise 5.4* Let q(x) be a function of the form q(x) = cTx + 12 xTHx, where c is a vector and H is a constant symmetric matrix. In each of the problems given below, (i) determine if a stationary point x∗ of q(x) exists; (ii) if x∗^ exists, compute its value and find if it is a minimizer of q; (iii) if x∗^ is a minimizer of q(x), find the minimum value of q; (iv) if x∗^ is a stationary point that is not a minimizer of q, find a direction p such that q(x∗^ + αp) ≤ q(x∗), for all α ≥ 0.
(a)
c =
(b)
c =
(c)
c =
(d)
c =