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authorGravatar Robert C. Helling <helling@atdotde.de>2016-11-23 11:50:50 +0100
committerGravatar Dirk Hohndel <dirk@hohndel.org>2016-11-24 09:59:42 +0900
commit4d0d37b6903a65ade442fece35238d1670522df2 (patch)
treeb740accc07b13096a15aebd3afe8daf2d0a480bf /core/deco.c
parentd1a0655613ba11a32dc7558c27ea733e9a447276 (diff)
downloadsubsurface-4d0d37b6903a65ade442fece35238d1670522df2.tar.gz
Show effective gradient factors for VPMB-plans
For each stop, this computes an effective gradient factor that gives the same ceiling. Then, it does linear regression to find values for GFlow and GFhigh that give a similar deco profile. Note that this optimises the average gradient factor. The runtime however depends strongly at the gradient factor at the last depth. So we don't necessarily to get the runtime right. Signed-off-by: Robert C. Helling <helling@atdotde.de> Signed-off-by: Dirk Hohndel <dirk@hohndel.org>
Diffstat (limited to 'core/deco.c')
-rw-r--r--core/deco.c50
1 files changed, 50 insertions, 0 deletions
diff --git a/core/deco.c b/core/deco.c
index b138a9fbd..57acfe951 100644
--- a/core/deco.c
+++ b/core/deco.c
@@ -30,6 +30,7 @@
extern bool in_planner();
+extern int plot_depth;
extern pressure_t first_ceiling_pressure;
@@ -175,6 +176,10 @@ double bottom_he_gradient[16];
double initial_n2_gradient[16];
double initial_he_gradient[16];
+int sumx, sum1;
+long sumxx;
+double sumy, sumxy;
+
double get_crit_radius_He()
{
if (vpmb_config.conservatism <= 4)
@@ -308,6 +313,23 @@ double tissue_tolerance_calc(const struct dive *dive, double pressure)
}
// We are doing ok if the gradient was computed within ten centimeters of the ceiling.
} while (fabs(ret_tolerance_limit_ambient_pressure - reference_pressure) > 0.01);
+
+ if (plot_depth) {
+ ++sum1;
+ sumx += plot_depth;
+ sumxx += plot_depth * plot_depth;
+ double n2_gradient, he_gradient, total_gradient;
+ n2_gradient = update_gradient(depth_to_bar(plot_depth, &displayed_dive), bottom_n2_gradient[ci_pointing_to_guiding_tissue]);
+ he_gradient = update_gradient(depth_to_bar(plot_depth, &displayed_dive), bottom_he_gradient[ci_pointing_to_guiding_tissue]);
+ total_gradient = ((n2_gradient * tissue_n2_sat[ci_pointing_to_guiding_tissue]) + (he_gradient * tissue_he_sat[ci_pointing_to_guiding_tissue]))
+ / (tissue_n2_sat[ci_pointing_to_guiding_tissue] + tissue_he_sat[ci_pointing_to_guiding_tissue]);
+
+ double buehlmann_gradient = (1.0 / buehlmann_inertgas_b[ci_pointing_to_guiding_tissue] - 1.0) * depth_to_bar(plot_depth, &displayed_dive) + buehlmann_inertgas_a[ci_pointing_to_guiding_tissue];
+ double gf = (total_gradient - vpmb_config.other_gases_pressure) / buehlmann_gradient;
+ sumxy += gf * plot_depth;
+ sumy += gf;
+ plot_depth = 0;
+ }
}
return ret_tolerance_limit_ambient_pressure;
}
@@ -632,3 +654,31 @@ double get_gf(double ambpressure_bar, const struct dive *dive)
gf = gf_low;
return gf;
}
+
+double regressiona()
+{
+ if (sum1) {
+ double avxy = sumxy / sum1;
+ double avx = (double)sumx / sum1;
+ double avy = sumy / sum1;
+ double avxx = (double) sumxx / sum1;
+ return (avxy - avx * avy) / (avxx - avx*avx);
+ }
+ else
+ return 0.0;
+}
+
+double regressionb()
+{
+ if (sum1)
+ return sumy / sum1 - sumx * regressiona() / sum1;
+ else
+ return 0.0;
+}
+
+void reset_regression()
+{
+ sumx = sum1 = 0;
+ sumxx = 0L;
+ sumy = sumxy = 0.0;
+}