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Unformatted text preview: explain. Clearly give the objective and inequality
constraint functions, explaining why they are convex if it is not obvious. If your problem involves
equality constraints, give them explicitly.
Carry out your method on the speciﬁc instance with n = 4, and data
Atot = 10000,
α = (10−5 , 10−2 , 10−2 , 10−2 ),
M = (0.1, 5, 10, 10), max = (40, 40, 40, 20). A Give the optimal gains, and the optimal dynamic range.
11.4 Blending existing circuit designs. In circuit design, we must select the widths of a set of n components, given by the vector w = (w1 , . . . , wn ), which must satisfy width limits
W min ≤ wi ≤ W max , i = 1, . . . , n, where W min and W max are given (positive) values. (You can assume there are no other constraints
on w.) The design is judged by three objectives, each of which we would like to be small: the
circuit power P (w), the circuit delay D(w), and the total circuit area A(w). These three objectives
are (complicated) posynomial functions of w.
You do not know the functions P , D, or A...
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This note was uploaded on 09/10/2013 for the course C 231 taught by Professor F.borrelli during the Fall '13 term at Berkeley.
- Fall '13
- The Aeneid