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<html> <head> <title> Netlab Reference Manual minbrack </title> </head> <body> <H1> minbrack </H1> <h2> Purpose </h2> Bracket a minimum of a function of one variable. <p><h2> Description </h2> <CODE>brmin, brmid, brmax, numevals] = minbrack(f, a, b, fa)</CODE> finds a bracket of three points around a local minimum of <CODE>f</CODE>. The function <CODE>f</CODE> must have a one dimensional domain. <CODE>a < b</CODE> is an initial guess at the minimum and maximum points of a bracket, but <CODE>minbrack</CODE> will search outside this interval if necessary. The bracket consists of three points (in increasing order) such that <CODE>f(brmid) < f(brmin)</CODE> and <CODE>f(brmid) < f(brmax)</CODE>. <CODE>fa</CODE> is the value of the function at <CODE>a</CODE>: it is included to avoid unnecessary function evaluations in the optimization routines. The return value <CODE>numevals</CODE> is the number of function evaluations in <CODE>minbrack</CODE>. <p><CODE>minbrack(f, a, b, fa, p1, p2, ...)</CODE> allows additional arguments to be passed to <CODE>f</CODE> <p><h2> Examples </h2> An example of the use of this function to bracket the minimum of a function <CODE>f</CODE> in the direction <CODE>sd</CODE> can be found in <CODE>linemin</CODE> <PRE> [min, mid, max, nevals]] = minbrack('linef', 0.0, 1.0, fa, f, pt, dir); </PRE> where the function <CODE>linef</CODE> is used to turn a general function <CODE>f</CODE> into a one dimensional one. <p><h2> Algorithm </h2> Quadratic extrapolation with a limit to the maximum step size is used to find the outside points of the bracket. This implementation is based on that in Numerical Recipes. <p><h2> See Also </h2> <CODE><a href="linemin.htm">linemin</a></CODE>, <CODE><a href="linef.htm">linef</a></CODE><hr> <b>Pages:</b> <a href="index.htm">Index</a> <hr> <p>Copyright (c) Ian T Nabney (1996-9) </body> </html>