On Wed, 30 Dec 2015, oleg_komashko(a)ukr.net wrote:
We have 2 (3) ways of proceed : make experiments, find good expert on
numerical methods (do both) The script attached shows, for small x the
best h is as big as 10^5*sqrt($macheps) Still I do not know what to to
with x: abs(x)>10^5 and what to do with say, exp(100) try x = {100} eval
fdjac (x,exp(x)) - exp(100) That's ERROR! Oleh
Of course ANY numerical approximation to a derivative is a ratio;
therefore, what is crucial to its precision is the relative order of
magnitude of numerator and denominator. It's easy to contruct pathological
cases and there's no silver bullet that works in all cases.
That said, the following settings seem to work reasonably well in a
decently-sized array of cases (diff against git HEAD --- not applied yet).
<diff>
diff --git a/minpack/fdjac2.c b/minpack/fdjac2.c
index 9e9676a..54e64ec 100644
--- a/minpack/fdjac2.c
+++ b/minpack/fdjac2.c
@@ -144,10 +144,10 @@ int fdjac2_(S_fp fcn, int m, int n, int quality,
for (j = 0; j < n; j++) {
temp = x[j];
if (quality == 2) {
- if (fabs(temp) > 1000) {
- h = 1000 * sqrt(fabs(temp/1000)) * eps;
+ if (fabs(temp) > 128) {
+ h = 128* sqrt(fabs(temp/128)) * eps / sqrt(6);
} else {
- h = 1000 * eps;
+ h = 128 * eps / sqrt(6);
}
} else {
h = eps * fabs(temp);
</diff>
I'm attaching a battery of tests.
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Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
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