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From: john_at_[hidden]
Date: 2008-06-28 12:59:33
Author: johnmaddock
Date: 2008-06-28 12:59:32 EDT (Sat, 28 Jun 2008)
New Revision: 46814
URL: http://svn.boost.org/trac/boost/changeset/46814
Log:
Remove/replace non-ASCII characters.
Text files modified:
trunk/boost/math/distributions/non_central_chi_squared.hpp | 4 ++--
trunk/boost/math/distributions/poisson.hpp | 2 +-
trunk/boost/math/special_functions/detail/t_distribution_inv.hpp | 6 +++---
trunk/boost/math/special_functions/fpclassify.hpp | 4 ++--
4 files changed, 8 insertions(+), 8 deletions(-)
Modified: trunk/boost/math/distributions/non_central_chi_squared.hpp
==============================================================================
--- trunk/boost/math/distributions/non_central_chi_squared.hpp (original)
+++ trunk/boost/math/distributions/non_central_chi_squared.hpp 2008-06-28 12:59:32 EDT (Sat, 28 Jun 2008)
@@ -48,7 +48,7 @@
// and the distribution of the square of the sample
// multiple correlation coeficient.
// D. Benton, K. Krishnamoorthy.
- // Computational Statistics & Data Analysis 43 (2003) 249 267
+ // Computational Statistics & Data Analysis 43 (2003) 249 - 267
//
BOOST_MATH_STD_USING
@@ -193,7 +193,7 @@
// and the distribution of the square of the sample
// multiple correlation coeficient.
// D. Benton, K. Krishnamoorthy.
- // Computational Statistics & Data Analysis 43 (2003) 249 267
+ // Computational Statistics & Data Analysis 43 (2003) 249 - 267
//
// We're summing a Poisson weighting term multiplied by
// a central chi squared distribution.
Modified: trunk/boost/math/distributions/poisson.hpp
==============================================================================
--- trunk/boost/math/distributions/poisson.hpp (original)
+++ trunk/boost/math/distributions/poisson.hpp 2008-06-28 12:59:32 EDT (Sat, 28 Jun 2008)
@@ -13,7 +13,7 @@
// events, occurrences, failures or arrivals occurring in a fixed time,
// assuming these events occur with a known average or mean rate (lambda)
// and are independent of the time since the last event.
-// The distribution was discovered by Siméon-Denis Poisson (17811840).
+// The distribution was discovered by Simeon-Denis Poisson (1781-1840).
// Parameter lambda is the mean number of events in the given time interval.
// The random variate k is the number of events, occurrences or arrivals.
Modified: trunk/boost/math/special_functions/detail/t_distribution_inv.hpp
==============================================================================
--- trunk/boost/math/special_functions/detail/t_distribution_inv.hpp (original)
+++ trunk/boost/math/special_functions/detail/t_distribution_inv.hpp 2008-06-28 12:59:32 EDT (Sat, 28 Jun 2008)
@@ -20,7 +20,7 @@
//
// The main method used is due to Hill:
//
-// G. W. Hill, Algorithm 396, Students t-Quantiles,
+// G. W. Hill, Algorithm 396, Student's t-Quantiles,
// Communications of the ACM, 13(10): 619-620, Oct., 1970.
//
template <class T, class Policy>
@@ -67,9 +67,9 @@
//
// Tail and body series are due to Shaw:
//
-// www.mth.kcl.ac.uk/shaww/web_page/papers/Tdistribution06.pdf
+// www.mth.kcl.ac.uk/~shaww/web_page/papers/Tdistribution06.pdf
//
-// Shaw, W.T., 2006, "Sampling Students T distribution use of
+// Shaw, W.T., 2006, "Sampling Student's T distribution - use of
// the inverse cumulative distribution function."
// Journal of Computational Finance, Vol 9 Issue 4, pp 37-73, Summer 2006
//
Modified: trunk/boost/math/special_functions/fpclassify.hpp
==============================================================================
--- trunk/boost/math/special_functions/fpclassify.hpp (original)
+++ trunk/boost/math/special_functions/fpclassify.hpp 2008-06-28 12:59:32 EDT (Sat, 28 Jun 2008)
@@ -177,7 +177,7 @@
case _FPCLASS_SNAN /* Signaling NaN */ :
case _FPCLASS_QNAN /* Quiet NaN */ :
return FP_NAN;
- case _FPCLASS_NINF /*Negative infinity ( INF) */ :
+ case _FPCLASS_NINF /*Negative infinity ( -INF) */ :
case _FPCLASS_PINF /* Positive infinity (+INF) */ :
return FP_INFINITE;
case _FPCLASS_NN /* Negative normalized non-zero */ :
@@ -186,7 +186,7 @@
case _FPCLASS_ND /* Negative denormalized */:
case _FPCLASS_PD /* Positive denormalized */ :
return FP_SUBNORMAL;
- case _FPCLASS_NZ /* Negative zero ( 0) */ :
+ case _FPCLASS_NZ /* Negative zero ( - 0) */ :
case _FPCLASS_PZ /* Positive 0 (+0) */ :
return FP_ZERO;
default:
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