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sigma
2008 May 24
0
simulated annealing
...and I , set a random partition, x, and
initialize the auxiliary
variables W, q, c, r, s, and the cost and penalty functions, f and h;
For each proposed move, x->y compute the cost differentials
sigma0 = f(y)-f(x) and sigma u=f(y,u)-f(x,u)
Accept the move with the Metropolis probability, M(sigmau,I) If the move is
accepted,
update x, W, q, c, r, s, f and h;
After each batch of Metropolis sampling steps, perform a cooling step
update
(1 + E1) ; (1 + E2) ; 0 < E1 < E2 << 1 :
question- what's the best way to put E1 , E2, anyone have an idea?
the original text all thin...