/dports/math/py-chaospy/chaospy-4.3.3/chaospy/quadrature/ |
H A D | leja.py | 25 from scipy.optimize import fminbound 97 xopt, fval, _, _ = fminbound(objective, abscissas[idx],
|
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/libqsturng/ |
H A D | qsturng_.py | 30 from scipy.optimize import fminbound 832 soln = 1. - fminbound(opt_func, .9, .999, args=(r,v)) 839 soln = 1. - fminbound(opt_func, .1, .999, args=(r,v))
|
/dports/graphics/dssim/dssim-3.1.2/cargo-crates/libaom-sys-0.9.1/vendor/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/www/firefox-esr/firefox-91.8.0/third_party/aom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/libaom/source/libaom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/www/firefox/firefox-99.0/third_party/aom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/mail/thunderbird/thunderbird-91.8.0/third_party/aom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/libaom/source/libaom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/multimedia/aom/aom-3.2.0/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/lang/spidermonkey78/firefox-78.9.0/third_party/aom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/lang/spidermonkey60/firefox-60.9.0/third_party/aom/tools/ |
H A D | gen_constrained_tokenset.py | 43 alpha = scipy.optimize.fminbound(func, 1e-12, 10000, xtol=1e-12)
|
/dports/science/py-scipy/scipy-1.7.1/scipy/signal/ |
H A D | filter_design.py | 3647 wp0 = optimize.fminbound(band_stop_obj, passb[0], stopb[0] - 1e-12, 3652 wp1 = optimize.fminbound(band_stop_obj, stopb[1] + 1e-12, passb[1], 3819 wp0 = optimize.fminbound(band_stop_obj, passb[0], stopb[0] - 1e-12, 3823 wp1 = optimize.fminbound(band_stop_obj, stopb[1] + 1e-12, passb[1], 3962 wp0 = optimize.fminbound(band_stop_obj, passb[0], stopb[0] - 1e-12, 3966 wp1 = optimize.fminbound(band_stop_obj, stopb[1] + 1e-12, passb[1], 4131 wp0 = optimize.fminbound(band_stop_obj, passb[0], stopb[0] - 1e-12, 4135 wp1 = optimize.fminbound(band_stop_obj, stopb[1] + 1e-12, passb[1],
|
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/ |
H A D | correlation_tools.py | 13 from scipy.optimize import fminbound 765 k_opt = fminbound(fun, 0, 1e5)
|
/dports/science/py-scipy/scipy-1.7.1/doc/source/tutorial/examples/ |
H A D | 5-1 | 42 fminbound -- Bounded minimization of a scalar function.
|
/dports/science/py-scipy/scipy-1.7.1/scipy/optimize/tests/ |
H A D | test_optimize.py | 1438 x = optimize.fminbound(self.fun, 0, 1) 1441 x = optimize.fminbound(self.fun, 1, 5) 1444 x = optimize.fminbound(self.fun, np.array([1]), np.array([5])) 1446 assert_raises(ValueError, optimize.fminbound, self.fun, 5, 1) 1450 optimize.fminbound(self.fun, np.zeros((1, 2)), 1) 1452 x = optimize.fminbound(self.fun, 1, np.array(5)) 1458 optimize.fminbound(fun, 0, 0) 2214 optimize.fminbound(
|
/dports/science/py-obspy/obspy-1.2.2/obspy/signal/ |
H A D | polarization.py | 21 from scipy.optimize import fminbound 292 final = fminbound(fun, 0.0, math.pi, full_output=True)
|
/dports/science/py-scipy/scipy-1.7.1/doc/release/ |
H A D | 0.11.0-notes.rst | 79 `golden`, `fminbound`).
|
H A D | 1.0.0-notes.rst | 704 …ps://github.com/scipy/scipy/pull/7299>`__: DOC: Made difference between brent and fminbound clearer
|
H A D | 1.6.0-notes.rst | 553 * `#12696 <https://github.com/scipy/scipy/issues/12696>`__: scipy.optimize.fminbound, numpy depreci…
|
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/emplike/ |
H A D | descriptive.py | 632 llr = optimize.fminbound(self._opt_var, mu_min, mu_max, \
|
/dports/cad/py-phidl/phidl-1.0.1/phidl/ |
H A D | geometry.py | 6 from scipy.optimize import fmin, fminbound 2310 found_eta = fminbound(fh, x1 = 0, x2 = pi, args=())
|
/dports/science/py-scipy/scipy-1.7.1/scipy/optimize/ |
H A D | optimize.py | 1904 def fminbound(func, x1, x2, args=(), xtol=1e-5, maxfun=500, function
|