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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 (1781–1840).
+// 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, Student’s 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 Student’s 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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