Mechanical Engineering, Indian Institute of
Science, Bangalore 560 012, India
Optimization hinders evolution!
ME256
Variational methods and structural optimization
Aug.-Dec. 2005
Instructor: G. K.
Ananthasuresh, Room 106, ME Building, suresh at
mecheng.iisc.ernet.in
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Homework #2
Assigned: Aug. 11th, 2005
Due: Aug. 18th, 2005
Points: 20
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5 points
A discrete metric is defined for real number domain R, as follows:
d(x,y) = 0 if x is equal to y
d(x,y) = 1 if x is not equal to y
Verify that it satisfies the four properties that a metric should satisfy.
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5 points
If d1(x,y) is a metric on a real number domain, then show that d2(x,y)
defined as follows is also a valid metric.
d2(x,y) = { d1(x,y) } / { 1 + d1(x,y) }
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10 points
If J is a functional of y(x) and its derivatives, then its Gateaux
variation can be obtained using the fact that it is equal
to the derivarive of J(x+epsilon*h) with respect to epsilon evaluated at
epsilon = 0, where h(x) is an arbitray function that satisfies the end
conditions and differentiability requirements. Use this and intergration
by parts to reduce the
Gateaux variation of the following two functionals to int( f(x) h(x) dx )
with
integration limits of xa and x2. Comment on the end
conditions at the limits.
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J(y,y') = int( y * sqrt{ (1+y'^2) } )
with integration limits x1 and x2.
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J(y,y',y") = int( D*y''^2 - w(x)*y )
where D is a constant
with integration limits x1 and x2.