r11859: Canonicalize whitespace

[ctsim.git] / libctsupport / mathfuncs.cpp

diff --git a/libctsupport/mathfuncs.cpp b/libctsupport/mathfuncs.cpp
index 289c8b7f9f27589920c42435c6d50e79b8a4a77e..4a96e8f617fd1aa55bbfa77de19698ffa8057d5b 100644 (file)
--- a/libctsupport/mathfuncs.cpp
+++ b/libctsupport/mathfuncs.cpp
@@ -26,38 +26,38 @@
 *
 * SYNOPSIS
 *    double integrateSimpson (xmin, xmax, y, np)
-*    double xmin, xmax         Extent of integration
-*    double y[]                Function values to be integrated
-*    int np                    number of data points
-*                              (must be an odd number and at least 3)
+*    double xmin, xmax          Extent of integration
+*    double y[]         Function values to be integrated
+*    int np                     number of data points
+*                               (must be an odd number and at least 3)
 *
 * RETURNS
 *    integrand of function
 */
 
-double 
-integrateSimpson (const double xmin, const double xmax, const double *y, const int np) 
+double
+integrateSimpson (const double xmin, const double xmax, const double *y, const int np)
 {
   if (np < 2)
     return (0.);
   else if (np == 2)
     return ((xmax - xmin) * (y[0] + y[1]) / 2);
-  
+
   double area = 0;
   int nDiv = (np - 1) / 2;  // number of divisions
-  double width = (xmax - xmin) / (double) (np - 1);    // width of cells
-  
+  double width = (xmax - xmin) / (double) (np - 1);     // width of cells
+
   for (int i = 1; i <= nDiv; i++) {
     int xr = 2 * i;
     int xl = xr - 2;       // 2 * (i - 1) == 2 * i - 2 == xr - 2
     int xm = xr - 1;       // (xl+xr)/2 == (xr+xr-2)/2 == (2*xr-2)/2 = xr-1
-    
+
     area += (width / 3.0) * (y[xl] + 4.0 * y[xm] + y[xr]);
   }
-  
-  if ((np & 1) == 0)           /* do last trapazoid */
+
+  if ((np & 1) == 0)            /* do last trapazoid */
     area += width * (y[np-2] + y[np-1]) / 2;
-  
+
   return (area);
 }
 
@@ -67,28 +67,28 @@ integrateSimpson (const double xmin, const double xmax, const double *y, const i
 *
 * SYNOPSIS
 *    t = normalizeAngle (theta)
-*    double t         Normalized angle
+*    double t          Normalized angle
 *    double theta     Input angle
 */
 
-double 
+double
 normalizeAngle (double theta)
 {
   while (theta < 0.)
     theta += TWOPI;
   while (theta >= TWOPI)
     theta -= TWOPI;
-  
+
   return (theta);
 }
 
 
-void 
+void
 vectorNumericStatistics (std::vector<double> vec, const int nPoints, double& min, double& max, double& mean, double& mode, double& median, double& stddev)
 {
   if (nPoints <= 0)
     return;
-  
+
   mean = 0;
   min = vec[0];
   max = vec[0];
@@ -102,7 +102,7 @@ vectorNumericStatistics (std::vector<double> vec, const int nPoints, double& min
     mean += v;
   }
   mean /= nPoints;
-  
+
   static const int nbin = 1024;
   int hist[ nbin ] = {0};
   double spread = max - min;
@@ -116,7 +116,7 @@ vectorNumericStatistics (std::vector<double> vec, const int nPoints, double& min
     stddev += diff * diff;
   }
   stddev = sqrt (stddev / nPoints);
-  
+
   int max_binindex = 0;
   int max_bin = -1;
   for (int ibin = 0; ibin < nbin; ibin++) {
@@ -125,11 +125,11 @@ vectorNumericStatistics (std::vector<double> vec, const int nPoints, double& min
       max_binindex = ibin;
     }
   }
-  
+
   mode = (max_binindex * spread / (nbin - 1)) + min;
-  
+
   std::sort(vec.begin(), vec.end());
-  
+
   if (nPoints % 2)  // Odd
     median = vec[((nPoints - 1) / 2)];
   else        // Even