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I have a trouble in building cvs sources as Making all in interpolation make[2]: Entering directory `/usr/local/gnu/src/cvs/gsl/interpolation' make[2]: *** No rule to make target `poly.c', needed by `poly.lo'. Stop. make[2]: Leaving directory `/usr/local/gnu/src/cvs/gsl/interpolation' make[1]: *** [all-recursive] Error 1 make[1]: Leaving directory `/usr/local/gnu/src/cvs/gsl' make: *** [all-recursive-am] Error 2 poly.c couldn't be found in the cvs tree. what's wrong? By the way, I found the line search (one dimensional min.) routines are difficult to use in the multidimensional optimization. For example, gsl supplied unconstraint min. routines have its own directional minimizer. I have also similar one for me (quadratic or brent minimizer). One-D directional minimizers seems to be collected into one-dimensional minimization category which has routines for minimizing f(x) on [a, b] and finding the interval [a, b]. I think that one-D directional minimizer is carefully organized to minimizer the number of the object function call, practically, calling objective function are expensive except the mathematical functions. I attache the experimental source for directional search. in min_quad.c, commented out main funcition has simple usage for it. for complex application, steepest-descent.c is provided. in summary, directional line search controlled with the trial step size is needed in the future. Brian Gough wrote > >I haven't added the gsl_polynomial functions -- generally I like to >keep GSL routines at a fairly low-level. In this case it should be >sufficient for the user to pass the array of coefficients to the >low-level gsl_poly routines or use gsl_spline. > yes, indeed low-level routines are sufficient in this case. > > >Brian > >
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