diff mbox series

[PR,libstdc++/83566] - cyl_bessel_j returns wrong result for x>1000

Message ID 035e9c75-56df-492b-4000-9a88c888328f@verizon.net
State New
Headers show
Series [PR,libstdc++/83566] - cyl_bessel_j returns wrong result for x>1000 | expand

Commit Message

Ed Smith-Rowland Nov. 16, 2018, 5:23 p.m. UTC
All,

This patch has been in my queue for a while.

I believe it is waiting on Copyright assignment for Michele. Is this 
still true?

Ed
2018-11-16  Michele Pezzutti <mpezz@tiscali.it>
	    Edward Smith-Rowland  <3dw4rd@verizon.net>

	PR libstdc++/83566 - cyl_bessel_j returns wrong result for x>1000
	for high orders.
	* include/tr1/bessel_function.tcc: Perform no fewer than nu/2 iterations
	of the asymptotic series (nu is the Bessel order).
	* testsuite/tr1/5_numerical_facilities/special_functions/
	09_cyl_bessel_j/check_value.cc: Add tests at nu=100, 1000<=x<=2000.
	* testsuite/tr1/5_numerical_facilities/special_functions/	
	11_cyl_neumann/check_value.cc: Ditto.
	* testsuite/special_functions/08_cyl_bessel_j/check_value.cc: Ditto.
	* testsuite/special_functions/10_cyl_neumann/check_value.cc: Ditto.

Comments

Michele Pezzutti Nov. 16, 2018, 10:32 p.m. UTC | #1
Hi.

My Copyright assignment process is complete (done in Feb 2018).

Michele


On 16/11/2018 18:23, Ed Smith-Rowland wrote:
> All,
>
> This patch has been in my queue for a while.
>
> I believe it is waiting on Copyright assignment for Michele. Is this 
> still true?
>
> Ed
>
>
Ed Smith-Rowland Nov. 17, 2018, 12:36 a.m. UTC | #2
On 11/16/18 5:32 PM, Michele Pezzutti wrote:
> Hi.
>
> My Copyright assignment process is complete (done in Feb 2018).
>
> Michele
>
>
> On 16/11/2018 18:23, Ed Smith-Rowland wrote:
>> All,
>>
>> This patch has been in my queue for a while.
>>
>> I believe it is waiting on Copyright assignment for Michele. Is this 
>> still true?
>>
>> Ed
>>
>>
>
Excellent! Unless anyone has any objections I'll push this tomorrow.

Ed
diff mbox series

Patch

Index: include/tr1/bessel_function.tcc
===================================================================
--- include/tr1/bessel_function.tcc	(revision 266189)
+++ include/tr1/bessel_function.tcc	(working copy)
@@ -27,6 +27,10 @@ 
  *  Do not attempt to use it directly. @headername{tr1/cmath}
  */
 
+/* __cyl_bessel_jn_asymp adapted from GNU GSL version 2.4 specfunc/bessel_j.c
+ * Copyright (C) 1996-2003 Gerard Jungman
+ */
+
 //
 // ISO C++ 14882 TR1: 5.2  Special functions
 //
@@ -358,24 +362,51 @@ 
     void
     __cyl_bessel_jn_asymp(_Tp __nu, _Tp __x, _Tp & __Jnu, _Tp & __Nnu)
     {
-      const _Tp __mu   = _Tp(4) * __nu * __nu;
-      const _Tp __mum1 = __mu - _Tp(1);
-      const _Tp __mum9 = __mu - _Tp(9);
-      const _Tp __mum25 = __mu - _Tp(25);
-      const _Tp __mum49 = __mu - _Tp(49);
-      const _Tp __xx = _Tp(64) * __x * __x;
-      const _Tp __P = _Tp(1) - __mum1 * __mum9 / (_Tp(2) * __xx)
-                    * (_Tp(1) - __mum25 * __mum49 / (_Tp(12) * __xx));
-      const _Tp __Q = __mum1 / (_Tp(8) * __x)
-                    * (_Tp(1) - __mum9 * __mum25 / (_Tp(6) * __xx));
+      const _Tp __mu = _Tp(4) * __nu * __nu;
+      const _Tp __8x = _Tp(8) * __x;
 
+      _Tp __P = _Tp(0);
+      _Tp __Q = _Tp(0);
+
+      _Tp __k = _Tp(0);
+      _Tp __term = _Tp(1);
+
+      int __epsP = 0;
+      int __epsQ = 0;
+
+      _Tp __eps = std::numeric_limits<_Tp>::epsilon();
+
+      do
+        {
+          __term *= (__k == 0
+                     ? _Tp(1)
+                     : -(__mu - (2 * __k - 1) * (2 * __k - 1)) / (__k * __8x));
+
+          __epsP = std::abs(__term) < __eps * std::abs(__P);
+          __P += __term;
+
+          __k++;
+
+          __term *= (__mu - (2 * __k - 1) * (2 * __k - 1)) / (__k * __8x);
+          __epsQ = std::abs(__term) < __eps * std::abs(__Q);
+          __Q += __term;
+
+          if (__epsP && __epsQ && __k > (__nu / 2.))
+            break;
+
+          __k++;
+        }
+      while (__k < 1000);
+
       const _Tp __chi = __x - (__nu + _Tp(0.5L))
-                            * __numeric_constants<_Tp>::__pi_2();
+                             * __numeric_constants<_Tp>::__pi_2();
+
       const _Tp __c = std::cos(__chi);
       const _Tp __s = std::sin(__chi);
 
       const _Tp __coef = std::sqrt(_Tp(2)
                              / (__numeric_constants<_Tp>::__pi() * __x));
+
       __Jnu = __coef * (__c * __P - __s * __Q);
       __Nnu = __coef * (__s * __P + __c * __Q);
 
Index: testsuite/tr1/5_numerical_facilities/special_functions/09_cyl_bessel_j/check_value.cc
===================================================================
--- testsuite/tr1/5_numerical_facilities/special_functions/09_cyl_bessel_j/check_value.cc	(revision 266189)
+++ testsuite/tr1/5_numerical_facilities/special_functions/09_cyl_bessel_j/check_value.cc	(working copy)
@@ -698,6 +698,39 @@ 
 };
 const double toler026 = 1.0000000000000006e-11;
 
+// Test data for nu=100.0000000000000000
+// max(|f - f_GSL|): 3.9438938226332709e-14 at index 19
+// max(|f - f_GSL| / |f_GSL|): 2.0193411077170867e-11
+// mean(f - f_GSL): 1.6682360684660055e-15
+// variance(f - f_GSL): 5.3274331668346898e-28
+// stddev(f - f_GSL): 2.3081232997469372e-14
+const testcase_cyl_bessel_j<double>
+data027[21] =
+{
+  {  1.1676135007789573e-02, 100.0000000000000000, 1000.0000000000000000, 0.0 },
+  { -1.1699854778025796e-02, 100.0000000000000000, 1100.0000000000000000, 0.0 },
+  { -2.2801483405083697e-02, 100.0000000000000000, 1200.0000000000000000, 0.0 },
+  { -1.6973500787373915e-02, 100.0000000000000000, 1300.0000000000000000, 0.0 },
+  { -1.4154528803481308e-03, 100.0000000000000000, 1400.0000000000000000, 0.0 },
+  {  1.3333726584495232e-02, 100.0000000000000000, 1500.0000000000000000, 0.0 },
+  {  1.9802562020148559e-02, 100.0000000000000000, 1600.0000000000000000, 0.0 },
+  {  1.6129771279838816e-02, 100.0000000000000000, 1700.0000000000000000, 0.0 },
+  {  5.3753369281536031e-03, 100.0000000000000000, 1800.0000000000000000, 0.0 },
+  { -6.9238868725645785e-03, 100.0000000000000000, 1900.0000000000000000, 0.0 },
+  { -1.5487871720069789e-02, 100.0000000000000000, 2000.0000000000000000, 0.0 },
+  { -1.7275186717671070e-02, 100.0000000000000000, 2100.0000000000000000, 0.0 },
+  { -1.2233030525173150e-02, 100.0000000000000000, 2200.0000000000000000, 0.0 },
+  { -2.8518508672241900e-03, 100.0000000000000000, 2300.0000000000000000, 0.0 },
+  {  7.0784372270289329e-03, 100.0000000000000000, 2400.0000000000000000, 0.0 },
+  {  1.3955367586928166e-02, 100.0000000000000000, 2500.0000000000000000, 0.0 },
+  {  1.5574059842493392e-02, 100.0000000000000000, 2600.0000000000000000, 0.0 },
+  {  1.1718043044647556e-02, 100.0000000000000000, 2700.0000000000000000, 0.0 },
+  {  4.0320953231285607e-03, 100.0000000000000000, 2800.0000000000000000, 0.0 },
+  { -4.6895111783053977e-03, 100.0000000000000000, 2900.0000000000000000, 0.0 },
+  { -1.1507715400035966e-02, 100.0000000000000000, 3000.0000000000000000, 0.0 },
+};
+const double toler027 = 1.0000000000000006e-10;
+
 template<typename Ret, unsigned int Num>
   void
   test(const testcase_cyl_bessel_j<Ret> (&data)[Num], Ret toler)
@@ -748,5 +781,6 @@ 
   test(data024, toler024);
   test(data025, toler025);
   test(data026, toler026);
+  test(data027, toler027);
   return 0;
 }
Index: testsuite/tr1/5_numerical_facilities/special_functions/11_cyl_neumann/check_value.cc
===================================================================
--- testsuite/tr1/5_numerical_facilities/special_functions/11_cyl_neumann/check_value.cc	(revision 266189)
+++ testsuite/tr1/5_numerical_facilities/special_functions/11_cyl_neumann/check_value.cc	(working copy)
@@ -742,6 +742,39 @@ 
 };
 const double toler028 = 1.0000000000000006e-11;
 
+// Test data for nu=100.0000000000000000
+// max(|f - f_GSL|): 3.9022387751663778e-14 at index 16
+// max(|f - f_GSL| / |f_GSL|): 2.4760677072012703e-11
+// mean(f - f_GSL): 3.6878362466971231e-16
+// variance(f - f_GSL): 5.0707962306468580e-28
+// stddev(f - f_GSL): 2.2518428521206487e-14
+const testcase_cyl_neumann<double>
+data029[21] =
+{
+  { -2.2438688257729954e-02, 100.0000000000000000, 1000.0000000000000000, 0.0 },
+  { -2.1077595159819992e-02, 100.0000000000000000, 1100.0000000000000000, 0.0 },
+  { -3.5299439206692585e-03, 100.0000000000000000, 1200.0000000000000000, 0.0 },
+  {  1.4250019326536615e-02, 100.0000000000000000, 1300.0000000000000000, 0.0 },
+  {  2.1304679089735663e-02, 100.0000000000000000, 1400.0000000000000000, 0.0 },
+  {  1.5734395077905267e-02, 100.0000000000000000, 1500.0000000000000000, 0.0 },
+  {  2.5544633636137774e-03, 100.0000000000000000, 1600.0000000000000000, 0.0 },
+  { -1.0722045524849367e-02, 100.0000000000000000, 1700.0000000000000000, 0.0 },
+  { -1.8036919243226864e-02, 100.0000000000000000, 1800.0000000000000000, 0.0 },
+  { -1.6958415593079763e-02, 100.0000000000000000, 1900.0000000000000000, 0.0 },
+  { -8.8788704566276667e-03, 100.0000000000000000, 2000.0000000000000000, 0.0 },
+  {  2.2504407108413179e-03, 100.0000000000000000, 2100.0000000000000000, 0.0 },
+  {  1.1833215246712251e-02, 100.0000000000000000, 2200.0000000000000000, 0.0 },
+  {  1.6398784536343945e-02, 100.0000000000000000, 2300.0000000000000000, 0.0 },
+  {  1.4675984403642338e-02, 100.0000000000000000, 2400.0000000000000000, 0.0 },
+  {  7.7523920451654229e-03, 100.0000000000000000, 2500.0000000000000000, 0.0 },
+  { -1.5759822576003489e-03, 100.0000000000000000, 2600.0000000000000000, 0.0 },
+  { -9.9314877404787089e-03, 100.0000000000000000, 2700.0000000000000000, 0.0 },
+  { -1.4534495161704743e-02, 100.0000000000000000, 2800.0000000000000000, 0.0 },
+  { -1.4059273497237509e-02, 100.0000000000000000, 2900.0000000000000000, 0.0 },
+  { -8.9385158149605185e-03, 100.0000000000000000, 3000.0000000000000000, 0.0 },
+};
+const double toler029 = 1.0000000000000006e-10;
+
 template<typename Ret, unsigned int Num>
   void
   test(const testcase_cyl_neumann<Ret> (&data)[Num], Ret toler)
@@ -794,5 +827,6 @@ 
   test(data026, toler026);
   test(data027, toler027);
   test(data028, toler028);
+  test(data029, toler029);
   return 0;
 }
Index: testsuite/special_functions/08_cyl_bessel_j/check_value.cc
===================================================================
--- testsuite/special_functions/08_cyl_bessel_j/check_value.cc	(revision 266189)
+++ testsuite/special_functions/08_cyl_bessel_j/check_value.cc	(working copy)
@@ -698,6 +698,39 @@ 
 };
 const double toler026 = 1.0000000000000006e-11;
 
+// Test data for nu=100.0000000000000000
+// max(|f - f_GSL|): 3.9438938226332709e-14 at index 19
+// max(|f - f_GSL| / |f_GSL|): 2.0193411077170867e-11
+// mean(f - f_GSL): 1.6682360684660055e-15
+// variance(f - f_GSL): 5.3274331668346898e-28
+// stddev(f - f_GSL): 2.3081232997469372e-14
+const testcase_cyl_bessel_j<double>
+data027[21] =
+{
+  {  1.1676135007789573e-02, 100.0000000000000000, 1000.0000000000000000, 0.0 },
+  { -1.1699854778025796e-02, 100.0000000000000000, 1100.0000000000000000, 0.0 },
+  { -2.2801483405083697e-02, 100.0000000000000000, 1200.0000000000000000, 0.0 },
+  { -1.6973500787373915e-02, 100.0000000000000000, 1300.0000000000000000, 0.0 },
+  { -1.4154528803481308e-03, 100.0000000000000000, 1400.0000000000000000, 0.0 },
+  {  1.3333726584495232e-02, 100.0000000000000000, 1500.0000000000000000, 0.0 },
+  {  1.9802562020148559e-02, 100.0000000000000000, 1600.0000000000000000, 0.0 },
+  {  1.6129771279838816e-02, 100.0000000000000000, 1700.0000000000000000, 0.0 },
+  {  5.3753369281536031e-03, 100.0000000000000000, 1800.0000000000000000, 0.0 },
+  { -6.9238868725645785e-03, 100.0000000000000000, 1900.0000000000000000, 0.0 },
+  { -1.5487871720069789e-02, 100.0000000000000000, 2000.0000000000000000, 0.0 },
+  { -1.7275186717671070e-02, 100.0000000000000000, 2100.0000000000000000, 0.0 },
+  { -1.2233030525173150e-02, 100.0000000000000000, 2200.0000000000000000, 0.0 },
+  { -2.8518508672241900e-03, 100.0000000000000000, 2300.0000000000000000, 0.0 },
+  {  7.0784372270289329e-03, 100.0000000000000000, 2400.0000000000000000, 0.0 },
+  {  1.3955367586928166e-02, 100.0000000000000000, 2500.0000000000000000, 0.0 },
+  {  1.5574059842493392e-02, 100.0000000000000000, 2600.0000000000000000, 0.0 },
+  {  1.1718043044647556e-02, 100.0000000000000000, 2700.0000000000000000, 0.0 },
+  {  4.0320953231285607e-03, 100.0000000000000000, 2800.0000000000000000, 0.0 },
+  { -4.6895111783053977e-03, 100.0000000000000000, 2900.0000000000000000, 0.0 },
+  { -1.1507715400035966e-02, 100.0000000000000000, 3000.0000000000000000, 0.0 },
+};
+const double toler027 = 1.0000000000000006e-10;
+
 template<typename Ret, unsigned int Num>
   void
   test(const testcase_cyl_bessel_j<Ret> (&data)[Num], Ret toler)
@@ -748,5 +781,6 @@ 
   test(data024, toler024);
   test(data025, toler025);
   test(data026, toler026);
+  test(data027, toler027);
   return 0;
 }
Index: testsuite/special_functions/10_cyl_neumann/check_value.cc
===================================================================
--- testsuite/special_functions/10_cyl_neumann/check_value.cc	(revision 266189)
+++ testsuite/special_functions/10_cyl_neumann/check_value.cc	(working copy)
@@ -742,6 +742,39 @@ 
 };
 const double toler028 = 1.0000000000000006e-11;
 
+// Test data for nu=100.0000000000000000
+// max(|f - f_GSL|): 3.9022387751663778e-14 at index 16
+// max(|f - f_GSL| / |f_GSL|): 2.4760677072012703e-11
+// mean(f - f_GSL): 3.6878362466971231e-16
+// variance(f - f_GSL): 5.0707962306468580e-28
+// stddev(f - f_GSL): 2.2518428521206487e-14
+const testcase_cyl_neumann<double>
+data029[21] =
+{
+  { -2.2438688257729954e-02, 100.0000000000000000, 1000.0000000000000000, 0.0 },
+  { -2.1077595159819992e-02, 100.0000000000000000, 1100.0000000000000000, 0.0 },
+  { -3.5299439206692585e-03, 100.0000000000000000, 1200.0000000000000000, 0.0 },
+  {  1.4250019326536615e-02, 100.0000000000000000, 1300.0000000000000000, 0.0 },
+  {  2.1304679089735663e-02, 100.0000000000000000, 1400.0000000000000000, 0.0 },
+  {  1.5734395077905267e-02, 100.0000000000000000, 1500.0000000000000000, 0.0 },
+  {  2.5544633636137774e-03, 100.0000000000000000, 1600.0000000000000000, 0.0 },
+  { -1.0722045524849367e-02, 100.0000000000000000, 1700.0000000000000000, 0.0 },
+  { -1.8036919243226864e-02, 100.0000000000000000, 1800.0000000000000000, 0.0 },
+  { -1.6958415593079763e-02, 100.0000000000000000, 1900.0000000000000000, 0.0 },
+  { -8.8788704566276667e-03, 100.0000000000000000, 2000.0000000000000000, 0.0 },
+  {  2.2504407108413179e-03, 100.0000000000000000, 2100.0000000000000000, 0.0 },
+  {  1.1833215246712251e-02, 100.0000000000000000, 2200.0000000000000000, 0.0 },
+  {  1.6398784536343945e-02, 100.0000000000000000, 2300.0000000000000000, 0.0 },
+  {  1.4675984403642338e-02, 100.0000000000000000, 2400.0000000000000000, 0.0 },
+  {  7.7523920451654229e-03, 100.0000000000000000, 2500.0000000000000000, 0.0 },
+  { -1.5759822576003489e-03, 100.0000000000000000, 2600.0000000000000000, 0.0 },
+  { -9.9314877404787089e-03, 100.0000000000000000, 2700.0000000000000000, 0.0 },
+  { -1.4534495161704743e-02, 100.0000000000000000, 2800.0000000000000000, 0.0 },
+  { -1.4059273497237509e-02, 100.0000000000000000, 2900.0000000000000000, 0.0 },
+  { -8.9385158149605185e-03, 100.0000000000000000, 3000.0000000000000000, 0.0 },
+};
+const double toler029 = 1.0000000000000006e-10;
+
 template<typename Ret, unsigned int Num>
   void
   test(const testcase_cyl_neumann<Ret> (&data)[Num], Ret toler)
@@ -794,5 +827,6 @@ 
   test(data026, toler026);
   test(data027, toler027);
   test(data028, toler028);
+  test(data029, toler029);
   return 0;
 }