Improve plog: 20% speedup for float + handle denormals
diff --git a/Eigen/src/Core/arch/Default/GenericPacketMathFunctions.h b/Eigen/src/Core/arch/Default/GenericPacketMathFunctions.h
index 6934e2a..137daa8 100644
--- a/Eigen/src/Core/arch/Default/GenericPacketMathFunctions.h
+++ b/Eigen/src/Core/arch/Default/GenericPacketMathFunctions.h
@@ -170,33 +170,14 @@
 EIGEN_UNUSED
 Packet plog_impl_float(const Packet _x)
 {
-  Packet x = _x;
-
   const Packet cst_1              = pset1<Packet>(1.0f);
-  const Packet cst_neg_half       = pset1<Packet>(-0.5f);
-  // The smallest non denormalized float number.
-  const Packet cst_min_norm_pos   = pset1frombits<Packet>( 0x00800000u);
   const Packet cst_minus_inf      = pset1frombits<Packet>( 0xff800000u);
   const Packet cst_pos_inf        = pset1frombits<Packet>( 0x7f800000u);
 
-  // Polynomial coefficients.
   const Packet cst_cephes_SQRTHF = pset1<Packet>(0.707106781186547524f);
-  const Packet cst_cephes_log_p0 = pset1<Packet>(7.0376836292E-2f);
-  const Packet cst_cephes_log_p1 = pset1<Packet>(-1.1514610310E-1f);
-  const Packet cst_cephes_log_p2 = pset1<Packet>(1.1676998740E-1f);
-  const Packet cst_cephes_log_p3 = pset1<Packet>(-1.2420140846E-1f);
-  const Packet cst_cephes_log_p4 = pset1<Packet>(+1.4249322787E-1f);
-  const Packet cst_cephes_log_p5 = pset1<Packet>(-1.6668057665E-1f);
-  const Packet cst_cephes_log_p6 = pset1<Packet>(+2.0000714765E-1f);
-  const Packet cst_cephes_log_p7 = pset1<Packet>(-2.4999993993E-1f);
-  const Packet cst_cephes_log_p8 = pset1<Packet>(+3.3333331174E-1f);
-
-  // Truncate input values to the minimum positive normal.
-  x = pmax(x, cst_min_norm_pos);
-
-  Packet e;
+  Packet e, x;
   // extract significant in the range [0.5,1) and exponent
-  x = pfrexp(x,e);
+  x = pfrexp(_x,e);
 
   // part2: Shift the inputs from the range [0.5,1) to [sqrt(1/2),sqrt(2))
   // and shift by -1. The values are then centered around 0, which improves
@@ -211,24 +192,22 @@
   e = psub(e, pand(cst_1, mask));
   x = padd(x, tmp);
 
-  Packet x2 = pmul(x, x);
-  Packet x3 = pmul(x2, x);
+  // Polynomial coefficients for rational (3,3) r(x) = p(x)/q(x)
+  // approximating log(1+x) on [sqrt(0.5)-1;sqrt(2)-1].
+  const Packet cst_p1 = pset1<Packet>(1.0000000190281136f);
+  const Packet cst_p2 = pset1<Packet>(1.0000000190281063f);
+  const Packet cst_p3 = pset1<Packet>(0.18256296349849254f);
+  const Packet cst_q1 = pset1<Packet>(1.4999999999999927f);
+  const Packet cst_q2 = pset1<Packet>(0.59923249590823520f);
+  const Packet cst_q3 = pset1<Packet>(0.049616247954120038f);
 
-  // Evaluate the polynomial approximant of degree 8 in three parts, probably
-  // to improve instruction-level parallelism.
-  Packet y, y1, y2;
-  y  = pmadd(cst_cephes_log_p0, x, cst_cephes_log_p1);
-  y1 = pmadd(cst_cephes_log_p3, x, cst_cephes_log_p4);
-  y2 = pmadd(cst_cephes_log_p6, x, cst_cephes_log_p7);
-  y  = pmadd(y, x, cst_cephes_log_p2);
-  y1 = pmadd(y1, x, cst_cephes_log_p5);
-  y2 = pmadd(y2, x, cst_cephes_log_p8);
-  y  = pmadd(y, x3, y1);
-  y  = pmadd(y, x3, y2);
-  y  = pmul(y, x3);
-
-  y = pmadd(cst_neg_half, x2, y);
-  x = padd(x, y);
+  Packet p = pmadd(x, cst_p3, cst_p2);
+  p = pmadd(x, p, cst_p1);
+  p = pmul(x, p);
+  Packet q = pmadd(x, cst_q3, cst_q2);
+  q = pmadd(x, q, cst_q1);
+  q = pmadd(x, q, cst_1);
+  x = pdiv(p, q);
 
   // Add the logarithm of the exponent back to the result of the interpolation.
   if (base2) {
@@ -284,8 +263,6 @@
 
   const Packet cst_1              = pset1<Packet>(1.0);
   const Packet cst_neg_half       = pset1<Packet>(-0.5);
-  // The smallest non denormalized double.
-  const Packet cst_min_norm_pos   = pset1frombits<Packet>( static_cast<uint64_t>(0x0010000000000000ull));
   const Packet cst_minus_inf      = pset1frombits<Packet>( static_cast<uint64_t>(0xfff0000000000000ull));
   const Packet cst_pos_inf        = pset1frombits<Packet>( static_cast<uint64_t>(0x7ff0000000000000ull));
 
@@ -307,9 +284,6 @@
   const Packet cst_cephes_log_q4 = pset1<Packet>(7.11544750618563894466E1);
   const Packet cst_cephes_log_q5 = pset1<Packet>(2.31251620126765340583E1);
 
-  // Truncate input values to the minimum positive normal.
-  x = pmax(x, cst_min_norm_pos);
-
   Packet e;
   // extract significant in the range [0.5,1) and exponent
   x = pfrexp(x,e);
diff --git a/test/packetmath.cpp b/test/packetmath.cpp
index fcdc2bb..db1c9ad 100644
--- a/test/packetmath.cpp
+++ b/test/packetmath.cpp
@@ -890,8 +890,7 @@
         data1[0] = std::numeric_limits<Scalar>::denorm_min();
         data1[1] = -std::numeric_limits<Scalar>::denorm_min();
         h.store(data2, internal::plog(h.load(data1)));
-        // TODO(rmlarsen): Re-enable.
-        //        VERIFY_IS_EQUAL(std::log(std::numeric_limits<Scalar>::denorm_min()), data2[0]);
+        VERIFY_IS_APPROX(std::log(std::numeric_limits<Scalar>::denorm_min()), data2[0]);
         VERIFY((numext::isnan)(data2[1]));
       }
 #endif