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MATLAB Mathematics - SERC - Index of

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Minimizing Functions and Finding Zeros<br />

You can ask for a tabular display <strong>of</strong> output by passing a fourth argument<br />

created by the optimset command to fminbnd<br />

x = fminbnd(@humps,0.3,1,optimset('Display','iter'))<br />

which gives the output<br />

Func-count x f(x) Procedure<br />

3 0.567376 12.9098 initial<br />

4 0.732624 13.7746 golden<br />

5 0.465248 25.1714 golden<br />

6 0.644416 11.2693 parabolic<br />

7 0.6413 11.2583 parabolic<br />

8 0.637618 11.2529 parabolic<br />

9 0.636985 11.2528 parabolic<br />

10 0.637019 11.2528 parabolic<br />

11 0.637052 11.2528 parabolic<br />

Optimization terminated:<br />

the current x satisfies the termination criteria using<br />

OPTIONS.TolX <strong>of</strong> 1.000000e-004<br />

x =<br />

0.6370<br />

This shows the current value <strong>of</strong> x and the function value at f(x) each time a<br />

function evaluation occurs. For fminbnd, one function evaluation corresponds<br />

to one iteration <strong>of</strong> the algorithm. The last column shows what procedure is<br />

being used at each iteration, either a golden section search or a parabolic<br />

interpolation.<br />

Minimizing Functions <strong>of</strong> Several Variables<br />

The fminsearch function is similar to fminbnd except that it handles functions<br />

<strong>of</strong> many variables, and you specify a starting vector x 0 rather than a starting<br />

interval. fminsearch attempts to return a vector x that is a local minimizer <strong>of</strong><br />

the mathematical function near this starting vector.<br />

4-9

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