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Diffstat (limited to 'minimize.scm')
-rw-r--r-- | minimize.scm | 114 |
1 files changed, 114 insertions, 0 deletions
diff --git a/minimize.scm b/minimize.scm new file mode 100644 index 0000000..50a7e65 --- /dev/null +++ b/minimize.scm @@ -0,0 +1,114 @@ +;;; "minimize.scm" finds minimum f(x) for x0 <= x <= x1. +;;; Author: Lars Arvestad +;;; +;;; This code is in the public domain. + +;;@noindent +;; +;;The Golden Section Search +;;@footnote{David Kahaner, Cleve Moler, and Stephen Nash +;;@cite{Numerical Methods and Software} +;;Prentice-Hall, 1989, ISBN 0-13-627258-4} +;;algorithm finds minima of functions which +;;are expensive to compute or for which derivatives are not available. +;;Although optimum for the general case, convergence is slow, +;;requiring nearly 100 iterations for the example (x^3-2x-5). +;; +;;@noindent +;; +;;If the derivative is available, Newton-Raphson is probably a better +;;choice. If the function is inexpensive to compute, consider +;;approximating the derivative. + +;;@body +;; +;;@var{x_0} are @var{x_1} real numbers. The (single argument) +;;procedure @var{f} is unimodal over the open interval (@var{x_0}, +;;@var{x_1}). That is, there is exactly one point in the interval for +;;which the derivative of @var{f} is zero. +;; +;;@0 returns a pair (@var{x} . @var{f}(@var{x})) where @var{f}(@var{x}) +;;is the minimum. The @var{prec} parameter is the stop criterion. If +;;@var{prec} is a positive number, then the iteration continues until +;;@var{x} is within @var{prec} from the true value. If @var{prec} is +;;a negative integer, then the procedure will iterate @var{-prec} +;;times or until convergence. If @var{prec} is a procedure of seven +;;arguments, @var{x0}, @var{x1}, @var{a}, @var{b}, @var{fa}, @var{fb}, +;;and @var{count}, then the iterations will stop when the procedure +;;returns @code{#t}. +;; +;;Analytically, the minimum of x^3-2x-5 is 0.816497. +;;@example +;;(define func (lambda (x) (+ (* x (+ (* x x) -2)) -5))) +;;(golden-section-search func 0 1 (/ 10000)) +;; ==> (816.4883855245578e-3 . -6.0886621077391165) +;;(golden-section-search func 0 1 -5) +;; ==> (819.6601125010515e-3 . -6.088637561916407) +;;(golden-section-search func 0 1 +;; (lambda (a b c d e f g ) (= g 500))) +;; ==> (816.4965933140557e-3 . -6.088662107903635) +;;@end example + +(define golden-section-search + (let ((gss 'golden-section-search:) + (r (/ (- (sqrt 5) 1) 2))) ; 1 / golden-section + (lambda (f x0 x1 prec) + (cond ((not (procedure? f)) (slib:error gss 'procedure? f)) + ((not (number? x0)) (slib:error gss 'number? x0)) + ((not (number? x1)) (slib:error gss 'number? x1)) + ((>= x0 x1) (slib:error gss x0 'not '< x1))) + (let ((stop? + (cond + ((procedure? prec) prec) + ((number? prec) + (if (>= prec 0) + (lambda (x0 x1 a b fa fb count) (<= (abs (- x1 x0)) prec)) + (if (integer? prec) + (lambda (x0 x1 a b fa fb count) (>= count (- prec))) + (slib:error gss 'integer? prec)))) + (else (slib:error gss 'procedure? prec)))) + (a0 (+ x0 (* (- x1 x0) (- 1 r)))) + (b0 (+ x0 (* (- x1 x0) r))) + (delta #f) + (fmax #f) + (fmin #f)) + (let loop ((left x0) + (right x1) + (a a0) + (b b0) + (fa (f a0)) + (fb (f b0)) + (count 1)) + (define finish + (lambda (x fx) + (if (> fx fmin) (slib:warn gss fx 'not 'min (list '> fmin))) + (if (and (> count 9) (or (eqv? x0 left) (eqv? x1 right))) + (slib:warn gss 'min 'not 'found)) + (cons x fx))) + (case count + ((1) + (set! fmax (max fa fb)) + (set! fmin (min fa fb))) + ((2) + (set! fmin (min fmin fa fb)) + (if (eqv? fmax fa fb) (slib:error gss 'flat? fmax))) + (else + (set! fmin (min fmin fa fb)))) + (cond ((stop? left right a b fa fb count) + (if (< fa fb) + (finish a fa) + (finish b fb))) + ((< fa fb) + (let ((a-next (+ left (* (- b left) (- 1 r))))) + (cond ((and delta (< delta (- b a))) + (finish a fa)) + (else (set! delta (- b a)) + (loop left b a-next a (f a-next) fa + (+ 1 count)))))) + (else + (let ((b-next (+ a (* (- right a) r)))) + (cond ((and delta (< delta (- b a))) + (finish b fb)) + (else (set! delta (- b a)) + (loop a right b b-next fb (f b-next) + (+ 1 count)))))))))))) |