1 ;;;; maxmize.lsp -- maximization and derivative code for XLISP-STAT
2 ;;;; XLISP-STAT 2.1 Copyright (c) 1990, by Luke Tierney
3 ;;;; Additions to Xlisp 2.1, Copyright (c) 1989 by David Michael Betz
4 ;;;; You may give out copies of this software; for conditions see the
5 ;;;; file COPYING included with this distribution.
11 (export '(numgrad numhess newtonmax nelmeadmax
))
13 ;;**** allow typf to be specified?
15 (defparameter *default-derivative-step
* (^ machine-epsilon
(/ 1.0 6.0)))
17 (defmacro make-fundata
() `(make-array 7))
18 (defmacro fundata-f
(fd) `(aref ,fd
0))
19 (defmacro fundata-arg
(fd) `(aref ,fd
1))
20 (defmacro fundata-typx
(fd) `(aref ,fd
2))
21 (defmacro fundata-fsum
(fd) `(aref ,fd
3))
22 (defmacro fundata-n
(fd) `(aref ,fd
4))
23 (defmacro fundata-changesign
(fd) `(aref ,fd
5))
24 (defmacro fundata-h
(fd) `(aref ,fd
6))
26 (defmacro get-function-value
(f x arg cs
)
27 (let ((xsym (gensym "X"))
28 (asym (gensym "ARG")))
32 (let* ((v (funcall ,f
,asym
))
33 (fv (if (consp v
) (first v
) v
)))
34 (if ,cs
(- fv
) fv
)))))
36 (defun change-array-sign (x)
37 (let ((x (compound-data-seq x
)))
38 (if (typep x
'(vector float
))
39 (blas-dscal (length x
) -
1.0 x
0 1)
40 (dotimes (i (length x
)) (setf (aref x i
) (- (aref x i
)))))))
44 ;;;; Functions Evaluation Routines
48 ;;; All Hessian evaluations by numerical derivatives assume the gradient is
49 ;;; evaluated first at the same location. The results are cached away.
52 (defun make-function-data (f n changesign h typx
)
53 (let ((data (make-fundata)))
54 (setf (fundata-f data
) f
)
55 (setf (fundata-arg data
) (make-list n
))
56 (setf (fundata-typx data
)
57 (make-array n
:element-type
'float
:initial-element
1.0))
58 (setf (fundata-fsum data
) (make-array n
:element-type
'float
))
59 (setf (fundata-n data
) n
)
60 (setf (fundata-changesign data
) changesign
)
61 (setf (fundata-h data
) (if (and h
(> h
0.0)) h
*default-derivative-step
*))
63 (let ((newtypx (fundata-typx data
)))
65 (let ((txi (elt typx i
)))
66 (setf (aref newtypx i
) (if (> txi
0.0) txi
1.0))))))
69 (defun eval-function (func x grad hess
)
70 (let* ((f (fundata-f func
))
71 (arg (fundata-arg func
))
72 (typx (fundata-typx func
))
73 (fsum (fundata-fsum func
))
75 (cs (fundata-changesign func
))
78 (let* ((result (funcall f arg
))
79 (val (if (consp result
) (car result
) result
)))
81 (let ((fderivs (if (consp result
) (- (length result
) 1) 0)))
82 (when cs
(setf val
(- val
)))
86 (replace grad
(car (cdr result
)))
87 (when cs
(change-array-sign grad
)))
89 (cmpgrad n x grad fsum func h typx
))))
93 (replace (compound-data-seq hess
)
94 (compound-data-seq (car (cdr (cdr result
)))))
95 (when cs
(change-array-sign hess
)))
97 ;;**** fix this for hess from grad?
98 (when (and (= fderivs
1) (null grad
))
99 ;; kludge to get fsum for analytic gradients
100 (cmpgrad n x fsum fsum func h typx
))
101 (cmphess n x hess val fsum func h typx
))))))
104 (defun cmpgrad (n x grad fsum ffun h typx
)
105 (let ((f (fundata-f ffun
))
106 (arg (fundata-arg ffun
))
107 (cs (fundata-changesign ffun
)))
109 (let ((old-xi (aref x i
))
110 (hi (if typx
(* (aref typx i
) h
) h
))
113 (setf (aref x i
) (+ old-xi hi
))
114 (setf f1
(get-function-value f x arg cs
))
115 (setf (aref x i
) (- old-xi hi
))
116 (setf f2
(get-function-value f x arg cs
))
117 (setf (aref x i
) old-xi
)
118 (setf (aref grad i
) (/ (- f1 f2
) (* 2.0 hi
)))
119 (setf (aref fsum i
) (+ f1 f2
))))))
121 (defun cmphess (n x hess f fsum ffun h typx
)
122 (let ((fun (fundata-f ffun
))
123 (arg (fundata-arg ffun
))
124 (cs (fundata-changesign ffun
)))
126 (let ((hi (if typx
(* (aref typx i
) h
) h
))
128 (setf (aref hess i i
) (/ (- (aref fsum i
) (* 2 f
)) (* hi hi
)))
130 (let ((hj (if typx
(* (aref typx j
) h
) h
))
134 (setf (aref x i
) (+ old-xi hi
))
135 (setf (aref x j
) (+ old-xj hj
))
136 (setf f1
(get-function-value fun x arg cs
))
137 (setf (aref x i
) (- old-xi hi
))
138 (setf (aref x j
) (- old-xj hj
))
139 (setf f2
(get-function-value fun x arg cs
))
140 (setf (aref x i
) old-xi
)
141 (setf (aref x j
) old-xj
)
142 (let ((hij (/ (- (+ (* 2 f
) f1 f2
) (aref fsum i
) (aref fsum j
))
144 (setf (aref hess i j
) hij
)
145 (setf (aref hess j i
) hij
))))))))
147 (defun numgrad (f x
&optional scale h all cs
)
148 (let* ((n (length x
))
149 (fd (make-function-data f n cs h scale
))
150 (xv (make-array n
:initial-contents x
))
151 (grad (make-array n
))
152 (fv (eval-function fd xv grad nil
)))
153 (coerce grad
'list
)))
155 (defun numhess (f x
&optional scale h all cs
)
156 (let* ((n (length x
))
157 (fd (make-function-data f n cs h scale
))
158 (xv (make-array n
:initial-contents x
))
159 (grad (make-array n
))
160 (hess (make-array (list n n
)))
161 (fv (eval-function fd xv grad hess
)))
162 (if all
(list fv
(coerce grad
'list
) hess
) hess
)))
166 ;;;; Nonlinear optimization modules adapted from Dennis and Schnabel,
167 ;;;; "Numerical Methods for Unconstrained Optimization and Nonlinear
173 ;;;; Mode Internals Data
176 (defmacro make-internals
() `(make-array 7))
177 (defmacro internals-f
(i) `(aref ,i
, 0))
178 (defmacro internals-x
(i) `(aref ,i
, 1))
179 (defmacro internals-scale
(i) `(aref ,i
, 2))
180 (defmacro internals-delf
(i) `(aref ,i
, 3))
181 (defmacro internals-hessf
(i) `(aref ,i
, 4))
182 (defmacro internals-ipars
(i) `(aref ,i
, 5))
183 (defmacro internals-dpars
(i) `(aref ,i
, 6))
185 (defmacro make-ipars
() `(make-array 11))
186 (defmacro ipars-n
(ipars) `(aref ,ipars
0))
187 (defmacro ipars-maxiter
(i) `(aref ,i
1))
188 (defmacro ipars-backtrack
(i) `(aref ,i
2))
189 (defmacro ipars-verbose
(i) `(aref ,i
3))
190 (defmacro ipars-vals-suppl
(i) `(aref ,i
4))
191 (defmacro ipars-count
(i) `(aref ,i
5))
192 (defmacro ipars-termcode
(i) `(aref ,i
6))
193 (defmacro ipars-change-sign
(i) `(aref ,i
7))
194 (defmacro ipars-maxtaken
(i) `(aref ,i
8))
195 (defmacro ipars-consecmax
(i) `(aref ,i
9))
196 (defmacro ipars-retcode
(i) `(aref ,i
10))
198 (defmacro make-dpars
() `(make-array 8))
199 (defmacro dpars-typf
(d) `(aref ,d
0))
200 (defmacro dpars-derivstep
(d) `(aref ,d
1))
201 (defmacro dpars-gradtol
(d) `(aref ,d
2))
202 (defmacro dpars-steptol
(d) `(aref ,d
3))
203 (defmacro dpars-maxstep
(d) `(aref ,d
4))
204 (defmacro dpars-hessadd
(d) `(aref ,d
5))
205 (defmacro dpars-f
(d) `(aref ,d
6))
206 (defmacro dpars-new-f
(d) `(aref ,d
7))
208 (defun newinternals (f x scale h
)
212 (internals (make-internals)))
213 (setf (ipars-n ip
) n
)
214 (setf (ipars-maxiter ip
) -
1)
215 (setf (ipars-backtrack ip
) t
)
216 (setf (ipars-verbose ip
) 0)
217 (setf (ipars-vals-suppl ip
) nil
)
218 (setf (ipars-count ip
) 0)
219 (setf (ipars-termcode ip
) 0)
220 (setf (ipars-change-sign ip
) t
)
222 (setf (dpars-typf dp
) 1.0)
223 (setf (dpars-derivstep dp
) h
)
224 (setf (dpars-gradtol dp
) -
1.0)
225 (setf (dpars-steptol dp
) -
1.0)
226 (setf (dpars-maxstep dp
) -
1.0)
227 (setf (dpars-hessadd dp
) 0.0)
229 (setf (internals-f internals
) f
)
230 (setf (internals-x internals
)
231 (make-array n
:element-type
'float
:initial-contents x
))
232 (setf (internals-scale internals
)
234 (make-array n
:element-type
'float
:initial-contents scale
)
235 (make-array n
:element-type
'float
:initial-element
1.0)))
236 (setf (internals-ipars internals
) ip
)
237 (setf (internals-dpars internals
) dp
)
238 (setf (internals-delf internals
) (make-array n
:element-type
'float
))
239 (setf (internals-hessf internals
)
240 (make-array (list n n
) :element-type
'float
))
245 ;;;; Definitions and Globals
248 (defparameter *init-grad-frac
* 0.001)
249 (defparameter *consec-max-limit
* 5)
250 (defparameter *alpha
* 0.0001)
251 (defparameter *max-step-factor
* 1000)
252 (defparameter *gradtol-power
* (/ 1.0 3.0))
253 (defparameter *steptol-power
* (/ 2.0 3.0))
254 (defparameter *itnlimit
* 100)
255 (defparameter *verbose
* 0)
256 (defparameter *use-search
* t
)
258 (defparameter *termcodes
*
259 (vector "not yet terminated"
260 "gradient size is less than gradient tolerance"
261 "step size is less than step tolerance"
262 "no satisfactory step found in backtracking"
263 "iteration limit exceeded"
264 "maximum size step taken 5 iterations in a row"))
271 (defmacro make-iteration
() `(make-array 12))
272 (defmacro iteration-ffun
(i) `(aref ,i
0))
273 (defmacro iteration-x
(i) `(aref ,i
1))
274 (defmacro iteration-new-x
(i) `(aref ,i
2))
275 (defmacro iteration-sx
(i) `(aref ,i
3))
276 (defmacro iteration-delf
(i) `(aref ,i
4))
277 (defmacro iteration-new-delf
(i) `(aref ,i
5))
278 (defmacro iteration-qnstep
(i) `(aref ,i
6))
279 (defmacro iteration-L
(i) `(aref ,i
7))
280 (defmacro iteration-hessf
(i) `(aref ,i
8))
281 (defmacro iteration-work
(i) `(aref ,i
9))
282 (defmacro iteration-ip
(i) `(aref ,i
10))
283 (defmacro iteration-dp
(i) `(aref ,i
11))
285 (defmacro iteration-n
(i) `(ipars-n (iteration-ip ,i
)))
286 (defmacro iteration-itnlimit
(i) `(ipars-maxiter (iteration-ip ,i
)))
287 (defmacro iteration-backtrack
(i) `(ipars-backtrack (iteration-ip ,i
)))
288 (defmacro iteration-verbose
(i) `(ipars-verbose (iteration-ip ,i
)))
289 (defmacro iteration-vals-suppl
(i) `(ipars-vals-suppl (iteration-ip ,i
)))
290 (defmacro iteration-count
(i) `(ipars-count (iteration-ip ,i
)))
291 (defmacro iteration-termcode
(i) `(ipars-termcode (iteration-ip ,i
)))
292 (defmacro iteration-maxtaken
(i) `(ipars-maxtaken (iteration-ip ,i
)))
293 (defmacro iteration-consecmax
(i) `(ipars-consecmax (iteration-ip ,i
)))
294 (defmacro iteration-retcode
(i) `(ipars-retcode (iteration-ip ,i
)))
295 (defmacro iteration-change-sign
(i) `(ipars-change-sign (iteration-ip ,i
)))
296 (defmacro iteration-typf
(i) `(dpars-typf (iteration-dp ,i
)))
297 (defmacro iteration-gradtol
(i) `(dpars-gradtol (iteration-dp ,i
)))
298 (defmacro iteration-steptol
(i) `(dpars-steptol (iteration-dp ,i
)))
299 (defmacro iteration-maxstep
(i) `(dpars-maxstep (iteration-dp ,i
)))
300 (defmacro iteration-hessadd
(i) `(dpars-hessadd (iteration-dp ,i
)))
301 (defmacro iteration-f
(i) `(dpars-f (iteration-dp ,i
)))
302 (defmacro iteration-new-f
(i) `(dpars-new-f (iteration-dp ,i
)))
306 ;;;; Stopping Criteria
309 (defun gradsize (iter new
)
310 (let ((f (iteration-f iter
))
311 (typf (iteration-typf iter
))
312 (x (iteration-x iter
))
313 (sx (iteration-sx iter
))
314 (delf (if new
(iteration-new-delf iter
) (iteration-delf iter
))))
315 (uncmin-gradsize delf x sx
(max (abs f
) typf
))))
317 (defun incrsize (iter)
318 (let ((n (iteration-n iter
))
319 (new-x (iteration-new-x iter
))
320 (x (iteration-x iter
))
321 (sx (iteration-sx iter
))
322 (work (iteration-work iter
)))
323 (blas-dcopy n x
0 1 work
0 1)
324 (blas-daxpy n -
1.0 new-x
0 1 work
0 1)
325 (uncmin-maxrelsize work x sx
)))
327 (defun stoptest0 (iter)
328 (setf (iteration-consecmax iter
) 0)
329 (setf (iteration-termcode iter
)
330 (if (<= (gradsize iter nil
)
331 (* *init-grad-frac
* (iteration-gradtol iter
)))
334 (iteration-termcode iter
))
336 (defun stoptest (iter)
337 (let ((retcode (iteration-retcode iter
))
338 (gradtol (iteration-gradtol iter
))
339 (steptol (iteration-steptol iter
))
340 (count (iteration-count iter
))
341 (itnlimit (iteration-itnlimit iter
))
342 (maxtaken (iteration-maxtaken iter
))
343 (consecmax (iteration-consecmax iter
))
346 ((= retcode
1) (setf termcode
3))
347 ((<= (gradsize iter t
) gradtol
) (setf termcode
1))
348 ((<= (incrsize iter
) steptol
) (setf termcode
2))
349 ((>= count itnlimit
) (setf termcode
4))
350 (maxtaken (incf consecmax
)
351 (if (>= consecmax
*consec-max-limit
*) (setf termcode
5)))
352 (t (setf consecmax
0)))
354 (setf (iteration-consecmax iter
) consecmax
)
355 (setf (iteration-termcode iter
) termcode
)
360 ;;;; Function and Derivative Evaluation
363 (defun eval-funval (iter)
364 (setf (iteration-f iter
)
365 (eval-function (iteration-ffun iter
) (iteration-x iter
) nil nil
)))
367 (defun eval-next-funval (iter)
368 (setf (iteration-new-f iter
)
369 (eval-function (iteration-ffun iter
) (iteration-new-x iter
) nil nil
)))
371 (defun eval-gradient (iter)
372 (eval-function (iteration-ffun iter
)
374 (iteration-delf iter
)
377 (defun eval-next-gradient (iter)
378 (eval-function (iteration-ffun iter
)
379 (iteration-new-x iter
)
380 (iteration-new-delf iter
)
383 (defun eval-hessian (iter)
384 (eval-function (iteration-ffun iter
)
387 (iteration-hessf iter
)))
391 ;;;; Backtracking Line Search
393 ;;;; Modified to quit after *itnlimit* steps in case regular termination
394 ;;;; doesn't work (because of NaN's).
396 (defun linesearch (iter)
397 (let ((n (iteration-n iter
))
398 (x (iteration-x iter
))
399 (new-x (iteration-new-x iter
))
400 (qnstep (iteration-qnstep iter
)))
402 ((not (iteration-backtrack iter
))
403 (setf (iteration-maxtaken iter
) nil
)
404 (blas-dcopy n x
0 1 new-x
0 1)
405 (blas-daxpy n
1.0 qnstep
0 1 new-x
0 1)
406 (eval-next-funval iter
)
407 (setf (iteration-retcode iter
) 0))
409 (let ((maxstep (iteration-maxstep iter
))
410 (delf (iteration-delf iter
))
411 (sx (iteration-sx iter
))
412 (work (iteration-work iter
)))
413 (setf (iteration-maxtaken iter
) nil
)
414 (setf (iteration-retcode iter
) 2)
417 (setf (aref work i
) (* (aref sx i
) (aref qnstep i
))))
418 (let ((newtlen (blas-dnrm2 n work
0 1)))
419 (when (> newtlen maxstep
)
421 (setf (aref qnstep i
)
422 (* (aref qnstep i
) (/ maxstep newtlen
))))
423 (setf newtlen maxstep
))
424 (let* ((initslope (blas-ddot n delf
0 1 qnstep
0 1))
425 (rellength (uncmin-maxrelsize qnstep x sx
))
426 (minlambda (if (= rellength
0.0)
428 (/ (iteration-steptol iter
) rellength
)))
435 (when (<= (iteration-retcode iter
) 1) (return))
436 (blas-dcopy n x
0 1 new-x
0 1)
437 (blas-daxpy n lambda qnstep
0 1 new-x
0 1)
438 (eval-next-funval iter
)
440 ((<= (iteration-new-f iter
)
441 (+ (iteration-f iter
) (* *alpha
* lambda initslope
)))
442 (setf (iteration-retcode iter
) 0)
443 (when (and (= lambda
1.0) (> newtlen
(* 0.99 maxstep
)))
444 (setf (iteration-maxtaken iter
) t
)))
445 ((or (< lambda minlambda
) (>= count
*itnlimit
*))
446 (setf (iteration-retcode iter
) 1)
447 (setf (iteration-new-f iter
) (iteration-f iter
))
448 (blas-dcopy n x
0 1 new-x
0 1))
451 (uncmin-linesearch (iteration-f iter
) initslope
452 lambda
(iteration-new-f iter
)
454 (setf lambdaprev lambda
)
455 (setf fprev
(iteration-new-f iter
))
456 (setf lambda
(max (* 0.1 lambda
) lambdatemp
))
457 (when (> (iteration-verbose iter
) 0)
458 (format t
"Backtracking: lambda = ~,6g~%"
463 ;;;; Status Printing Functions
466 (defun print-header (iter)
467 (when (< 0 (iteration-verbose iter
))
468 (format t
"Iteration ~d.~%" (iteration-count iter
))))
470 (defun print-status (iter)
471 (let ((n (iteration-n iter
))
472 (f (iteration-f iter
))
473 (x (iteration-x iter
))
474 (delf (iteration-delf iter
))
475 (hessf (iteration-hessf iter
))
476 (verbose (iteration-verbose iter
))
477 (change-sign (iteration-change-sign iter
))
478 (tcode (iteration-termcode iter
)))
480 (format t
"Criterion value = ~,6g~%" (if change-sign
(- f
) f
))
482 (format t
"Location = <")
484 (format t
(if (< i
(- n
1)) "~,6g " "~,6g>~%") (aref x i
)))
486 (format t
"Gradient = <")
488 (let ((di (aref delf i
)))
490 (if (< i
(- n
1)) "~,6g " "~,6g>~%")
491 (if change-sign
(- di
) di
))))
493 (format t
"Hessian:~%")
496 (let ((hij (aref hess
(+ (* i n
) j
))))
498 (if (< j
(- n
1)) "~,6g " "~,6g~%")
499 (if change-sign
(- hij
) hij
))))))))
502 "Reason for termination: ~a.~%"
503 (aref *termcodes
* tcode
))))))
507 ;;;; Iteration Driver
510 (defun findqnstep (iter)
511 (let ((sx (iteration-sx iter
))
512 (hessf (iteration-hessf iter
))
513 (L (iteration-L iter
))
514 (delf (iteration-delf iter
))
515 (qnstep (iteration-qnstep iter
)))
516 (setf (iteration-hessadd iter
) (uncmin-modelhess sx hessf L
))
517 (uncmin-cholsolve delf L qnstep
)))
519 (defun iterupdate (iter)
520 (let ((n (iteration-n iter
)))
521 (setf (iteration-f iter
) (iteration-new-f iter
))
522 (blas-dcopy n
(iteration-new-x iter
) 0 1 (iteration-x iter
) 0 1)
523 (blas-dcopy n
(iteration-new-delf iter
) 0 1 (iteration-delf iter
) 0 1)))
527 ;;;; External Interface Routines
530 (defun mindriver (iter trfun
)
531 (setf (iteration-consecmax iter
) 0)
532 (setf (iteration-count iter
) 0)
533 (setf (iteration-termcode iter
) 0)
534 (unless (iteration-vals-suppl iter
)
543 (when (/= 0 (iteration-termcode iter
)) (return))
544 (incf (iteration-count iter
))
548 (eval-next-gradient iter
)
553 (when trfun
(funcall trfun
))))
555 (defun minresultstring (code)
556 (if (<= 0 code
(- (length *termcodes
*) 1))
557 (aref *termcodes
* code
)
558 "unknown return code"))
560 (defun minsetup (ffun x typx ip dp delf hessf
)
561 (let ((iter (make-iteration))
563 (setf (iteration-ip iter
) ip
)
564 (setf (iteration-dp iter
) dp
)
566 (setf (iteration-ffun iter
) ffun
)
567 (setf (iteration-x iter
) x
)
568 (setf (iteration-new-x iter
) (make-array n
:element-type
'float
))
569 (setf (iteration-sx iter
)
570 (make-array n
:element-type
'float
:initial-element
1.0))
571 (setf (iteration-delf iter
) delf
)
572 (setf (iteration-new-delf iter
) (make-array n
:element-type
'float
))
573 (setf (iteration-qnstep iter
) (make-array n
:element-type
'float
))
576 (let ((sx (iteration-sx iter
)))
578 (let ((txi (aref typx i
)))
580 (setf (aref sx i
) (/ 1.0 txi
)))))))
582 (setf (iteration-L iter
) (make-array (list n n
) :element-type
'float
))
583 (setf (iteration-hessf iter
) hessf
)
584 (setf (iteration-work iter
) (make-array n
:element-type
'float
))
586 (when (< (iteration-verbose iter
) 0)
587 (setf (iteration-verbose iter
) *verbose
*))
588 (when (< (iteration-itnlimit iter
) 0)
589 (setf (iteration-itnlimit iter
) *itnlimit
*))
591 (when (<= (iteration-typf iter
) 0.0)
592 (setf (iteration-typf iter
) 1.0))
593 (when (<= (iteration-gradtol iter
) 0.0)
594 (setf (iteration-gradtol iter
) (^ machine-epsilon
*gradtol-power
*)))
595 (when (<= (iteration-steptol iter
) 0.0)
596 (setf (iteration-steptol iter
) (^ machine-epsilon
*steptol-power
*)))
598 (when (<= (iteration-maxstep iter
) 0.0)
599 (let ((dx (iteration-x iter
))
600 (sx (iteration-sx iter
))
601 (w (iteration-work iter
)))
603 (setf (aref w i
) (* (aref dx i
) (aref sx i
))))
604 (let ((nx0 (blas-dnrm2 n w
0 1))
605 (nsx (blas-dnrm2 n sx
0 1)))
606 (setf (iteration-maxstep iter
)
607 (* *max-step-factor
* (max nx0 nsx
))))))
610 ;;;; Mode Info Accessors
613 (defmacro mode-info-f
() `(aref (slot-value 'internals
) 0))
614 (defmacro mode-info-x
() `(aref (slot-value 'internals
) 1))
615 (defmacro mode-info-scale
() `(aref (slot-value 'internals
) 2))
616 (defmacro mode-info-delf
() `(aref (slot-value 'internals
) 3))
617 (defmacro mode-info-hessf
() `(aref (slot-value 'internals
) 4))
618 (defmacro mode-info-ipars
() `(aref (slot-value 'internals
) 5))
619 (defmacro mode-info-dpars
() `(aref (slot-value 'internals
) 6))
621 (defmacro ipars-n
(ipars) `(aref ,ipars
0))
622 (defmacro ipars-maxiter
(ipars) `(aref ,ipars
1))
623 (defmacro ipars-backtrack
(ipars) `(aref ,ipars
2))
624 (defmacro ipars-verbose
(ipars) `(aref ,ipars
3))
626 (defmacro dpars-derivstep
(dpars) `(aref ,dpars
1))
627 (defmacro dpars-f
(dpars) `(aref ,dpars
6))
631 ;;;; Mode Info Prototype
634 (defproto minfo-proto
'(internals))
636 (defmeth minfo-proto
:isnew
(f x
&key scale
(derivstep -
1.0))
637 (setf (slot-value 'internals
) (newinternals f x scale derivstep
))
640 (defmeth minfo-proto
:maximize
(&optional verbose trfun
)
641 (let* ((internals (slot-value 'internals
))
642 (f (internals-f internals
))
643 (x (internals-x internals
))
644 (scale (internals-scale internals
))
645 (ip (internals-ipars internals
))
646 (dp (internals-dpars internals
))
647 (delf (internals-delf internals
))
648 (hessf (internals-hessf internals
))
650 (func (make-function-data f n t
(dpars-derivstep dp
) scale
))
651 (iter (minsetup func x scale ip dp delf hessf
)))
652 (when (and verbose
(integerp verbose
))
653 (setf (ipars-verbose ip
) verbose
))
654 (when (> (ipars-verbose ip
) 0)
655 (format t
"maximizing...~%"))
656 (mindriver iter trfun
)
657 (setf (ipars-vals-suppl ip
) t
)
658 (minresultstring (ipars-termcode ip
))))
660 (defmeth minfo-proto
:x
() (coerce (mode-info-x) 'list
))
661 (defmeth minfo-proto
:scale
() (coerce (mode-info-scale) 'list
))
662 (defmeth minfo-proto
:derivstep
() (dpars-derivstep (mode-info-dpars)))
664 (defmeth minfo-proto
:f
(&optional
(val nil set
))
666 (send self
:set-no-vals-supplied
)
667 (setf (mode-info-f) val
))
670 (defmeth minfo-proto
:fvals
()
671 (let* ((n (ipars-n (mode-info-ipars)))
672 (val (dpars-f (mode-info-dpars)))
673 (grad (coerce (mode-info-delf) 'list
))
674 (hess (make-array (list n n
))))
675 (replace (compound-data-seq hess
)
676 (compound-data-seq (mode-info-hessf)))
677 (list val grad hess
)))
679 (defmeth minfo-proto
:copy
()
680 (let ((obj (make-object minfo-proto
))
681 (internals (copy-seq (slot-value 'internals
))))
682 (dotimes (i (length internals
))
683 (let ((x (aref internals i
)))
685 (setf (aref internals i
) (copy-seq x
)))))
686 (send obj
:add-slot
'internals internals
)
689 (defmeth minfo-proto
:derivscale
()
690 (let* ((x (send self
:x
))
691 (step (^ machine-epsilon
(/ 1 6)))
692 (hess (numhess (send self
:f
) x
(send self
:scale
) step
))
693 (scale (pmax (abs x
) (sqrt (abs (/ (diagonal hess
)))))))
694 (setf hess
(numhess (send self
:f
) x scale step
))
695 (setf scale
(pmax (abs x
) (sqrt (abs (/ (diagonal hess
))))))
696 (setf (mode-info-scale) (coerce scale
'(vector float
)))
697 (setf (dpars-derivstep (mode-info-dpars)) step
)))
699 (defmeth minfo-proto
:verbose
(&optional
(val nil set
))
701 (setf (ipars-verbose (mode-info-ipars))
702 (cond ((integerp val
) val
)
705 (ipars-verbose (mode-info-ipars)))
707 (defmeth minfo-proto
:backtrack
(&optional
(val nil set
))
708 (if set
(setf (ipars-backtrack (mode-info-ipars)) (if val
1 0)))
709 (ipars-backtrack (mode-info-ipars)))
711 (defmeth minfo-proto
:maxiter
(&optional
(val nil set
))
712 (if set
(setf (ipars-maxiter (mode-info-ipars))
713 (if (integerp val
) val -
1)))
714 (ipars-maxiter (mode-info-ipars)))
719 ;;;; Newton's Method with Backtracking
723 (defun newtonmax (f start
&key
730 "Args:(f start &key scale derivstep (verbose 1) return-derivs)
731 Maximizes F starting from START using Newton's method with backtracking.
732 If RETURN-DERIVS is NIL returns location of maximum; otherwise returns
733 list of location, unction value, gradient and hessian at maximum.
734 SCALE should be a list of the typical magnitudes of the parameters.
735 DERIVSTEP is used in numerical derivatives and VERBOSE controls printing
736 of iteration information. COUNT-LIMIT limits the number of iterations"
737 (let ((verbose (if verbose
(if (integerp verbose
) verbose
1) 0))
738 (minfo (send minfo-proto
:new f start
739 :scale scale
:derivstep derivstep
)))
740 (send minfo
:maxiter count-limit
)
741 (send minfo
:derivscale
)
742 (send minfo
:maximize
744 (if trace
#'(lambda () (funcall trace minfo
))))
746 (cons (send minfo
:x
) (- (send minfo
:fvals
)))
751 ;;;; Nelder-Mead Simplex Method
755 (defun nelmeadmax (f start
&key
757 (epsilon (sqrt machine-epsilon
))
764 "Args: (f start &key (size 1) (epsilon (sqrt machine-epsilon))
765 (count-limit 500) (verbose t) alpha beta gamma delta)
766 Maximizes F using the Nelder-Mead simplex method. START can be a
767 starting simplex - a list of N+1 points, with N=dimension of problem,
768 or a single point. If start is a single point you should give the
769 size of the initial simplex as SIZE, a sequence of length N. Default is
770 all 1's. EPSILON is the convergence tolerance. ALPHA-DELTA can be used to
771 control the behavior of simplex algorithm."
772 (let ((s (send simplex-proto
:new f start size
)))
773 (do ((best (send s
:best-point
) (send s
:best-point
))
774 (count 0 (+ count
1))
776 ((or (< (send s
:relative-range
) epsilon
) (>= count count-limit
))
777 (if (and verbose
(>= count count-limit
))
778 (format t
"Iteration limit exceeded.~%"))
779 (send s
:point-location
(send s
:best-point
)))
780 (setf next
(send s
:extrapolate-from-worst
(- alpha
)))
781 (if (send s
:is-worse best next
)
782 (setf next
(send s
:extrapolate-from-worst gamma
))
783 (when (send s
:is-worse next
(send s
:second-worst-point
))
784 (setf next
(send s
:extrapolate-from-worst beta
))
785 (if (send s
:is-worse next
(send s
:worst-point
))
786 (send s
:shrink-to-best delta
))))
788 (format t
"Value = ~g~%"
789 (send s
:point-value
(send s
:best-point
)))))))
793 ;;; Simplex Prototype
796 (defproto simplex-proto
'(f simplex
))
802 (defmeth simplex-proto
:make-point
(x)
803 (let ((f (send self
:f
)))
805 (let ((val (funcall f x
)))
806 (cons (if (consp val
) (car val
) val
) x
))
809 (defmeth simplex-proto
:point-value
(x) (car x
))
811 (defmeth simplex-proto
:point-location
(x) (cdr x
))
813 (defmeth simplex-proto
:is-worse
(x y
)
814 (< (send self
:point-value x
) (send self
:point-value y
)))
817 ;;; Making New Simplices
820 (defmeth simplex-proto
:isnew
(f start
&optional size
)
821 (send self
:simplex start size
)
825 ;;; Slot Accessors and Mutators
828 (defmeth simplex-proto
:simplex
(&optional new size
)
831 (if (and (consp new
) (sequencep (car new
)))
832 (if (/= (length new
) (+ 1 (length (car new
))))
833 (error "bad simplex data")
835 (let* ((n (length new
))
836 (size (if size size
(repeat 1 n
)))
837 ; (pts (- (* 2 (uniform-rand (repeat n (+ n 1)))) 1)))
838 (diag (* 2 size
(- (random (repeat 2 n
)) .5)))
839 (pts (cons (repeat 0 n
)
840 (mapcar #'(lambda (x) (coerce x
'list
))
841 (column-list (diagonal diag
))))))
842 (mapcar #'(lambda (x) (+ (* size x
) new
)) pts
)))))
843 (setf (slot-value 'simplex
)
844 (mapcar #'(lambda (x) (send self
:make-point x
)) simplex
))
845 (send self
:sort-simplex
)))
846 (slot-value 'simplex
))
848 (defmeth simplex-proto
:f
(&optional f
)
850 (setf (slot-value 'f
) f
)
852 (mapcar #'(lambda (x) (send self
:point-location x
))
853 (send self
:simplex
))))
854 (send self
:simplex simplex
)))
857 (defmeth simplex-proto
:sort-simplex
()
859 (setf (slot-value 'simplex
)
860 (sort (slot-value 'simplex
)
861 #'(lambda (x y
) (send self
:is-worse x y
))))))
864 ;;; Other Methods Using List Representation of SImplex
867 (defmeth simplex-proto
:best-point
() (car (last (send self
:simplex
))))
868 (defmeth simplex-proto
:worst-point
() (first (send self
:simplex
)))
869 (defmeth simplex-proto
:second-worst-point
() (second (send self
:simplex
)))
870 (defmeth simplex-proto
:replace-point
(new old
)
871 (let* ((simplex (send self
:simplex
))
872 (n (position old simplex
)))
874 (setf (nth n simplex
) new
)
875 (send self
:sort-simplex
))))
876 (defmeth simplex-proto
:mean-opposite-face
(x)
877 (let ((face (mapcar #'(lambda (x) (send self
:point-location x
))
878 (remove x
(send self
:simplex
)))))
879 (/ (apply #'+ face
) (length face
))))
882 ;;; Iteration Step Methods
885 (defmeth simplex-proto
:extrapolate-from-worst
(fac)
886 (let* ((worst (send self
:worst-point
))
887 (wloc (send self
:point-location worst
))
888 (delta (- (send self
:mean-opposite-face worst
) wloc
))
889 (new (send self
:make-point
(+ wloc
(* (- 1 fac
) delta
)))))
890 (if (send self
:is-worse worst new
) (send self
:replace-point new worst
))
893 (defmeth simplex-proto
:shrink-to-best
(fac)
894 (let* ((best (send self
:best-point
))
895 (bloc (send self
:point-location best
)))
896 (dolist (x (copy-list (send self
:simplex
)))
897 (if (not (eq x best
))
898 (send self
:replace-point
899 (send self
:make-point
902 (- (send self
:point-location x
) bloc
))))
905 (defmeth simplex-proto
:relative-range
()
906 (let ((best (send self
:point-value
(send self
:best-point
)))
907 (worst (send self
:point-value
(send self
:worst-point
))))
908 (* 2 (/ (abs (- best worst
)) (+ 1 (abs best
) (abs worst
))))))