Added updated timing results.

cpp/timeGaussianFactor.cpp

@@ -27,7 +27,7 @@ using namespace boost::assign;
  * Alex's Machine
  * Results for Eliminate:
  * Initial (1891): 17.91 sec, 55834.7 calls/sec
- * NoiseQR       : 12.58 sec
+ * NoiseQR       : 11.69 sec
  *
  * Results for matrix_augmented:
  * Initial (1891)       :  0.85 sec, 1.17647e+06 calls/sec
@@ -35,6 +35,7 @@ using namespace boost::assign;
  * w/ original collect():  8.73 sec (for n1 reps)
  * b memcpy Version     :  8.64 sec (for n1 reps) with original version of collect()
  * w/ memcpy collect()  :  8.40 sec (for n1 reps)
+ * Rev 2100             :  8.15 sec
  */
 
 int main()

cpp/timeGaussianFactorGraph.cpp

@@ -51,6 +51,7 @@ TEST(timeGaussianFactorGraph, linearTime)
 	// T = 100000
 	// 1907 (init)    : T - 1.65, 2T = 3.28
 	//    int->size_t : T - 1.63, 2T = 3.27
+	// 2100           : T - 1.52, 2T = 2.96
 
 	int T = 100000;
 	double time1 = timeKalmanSmoother(  T);  cout << "timeKalmanSmoother( T): " << time1;

cpp/timeMatrix.cpp

@@ -24,6 +24,7 @@ namespace ublas = boost::numeric::ublas;
  *  - (matrix_range version)       no pass: 24.21  sec , pass: 23.97 sec
  *  - (memcpy version)             no pass: 18.96  sec , pass: 18.39 sec
  *  - (original version)           no pass: 23.45  sec , pass: 22.80 sec
+ *  - rev 2100                     no pass: 18.45  sec , pass: 18.35 sec
  */
 double timeCollect(size_t p, size_t m, size_t n, bool passDims, size_t reps) {
 	// create a large number of matrices
@@ -68,6 +69,7 @@ double timeCollect(size_t p, size_t m, size_t n, bool passDims, size_t reps) {
  * Alex's Machine:
  *  - Original : 0.60 sec (x1000)
  *  - 1st Rev  : 0.49 sec (x1000)
+ *  - rev 2100 : 0.52 sec (x1000)
  */
 double timeVScaleColumn(size_t m, size_t n, size_t reps) {
 	// make a matrix to scale
@@ -98,6 +100,7 @@ double timeVScaleColumn(size_t m, size_t n, size_t reps) {
  * Alex's Machine:
  *  - Original : 0.54 sec (x1000)
  *  - 1st rev  : 0.44 sec (x1000)
+ *  - rev 2100 : 1.69 sec (x1000)
  */
 double timeVScaleRow(size_t m, size_t n, size_t reps) {
 	// make a matrix to scale
@@ -130,7 +133,7 @@ double timeVScaleRow(size_t m, size_t n, size_t reps) {
  *  - naive implementation : 4.70 sec
  *
  * reps = 2000000
- *  -
+ *  - rev 2100             : 45.11 sec
  */
 double timeColumn(size_t reps) {
 	// create a matrix
@@ -172,6 +175,7 @@ double timeColumn(size_t reps) {
  * GSL/Atlas version of updateAb               : 9.03 sec // Why does this have an effect?
  * Inlining house()                            : 6.33 sec
  * Inlining householder_update [GSL]           : 6.15 sec
+ * Rev 2100                                    : 5.75 sec
  *
  */
 double timeHouseholder(size_t reps) {