ac41ee7215 
								
							
								 
							
						 
						
							
							
								
								Added a test in GaussianFactor to demo a problem found in MAST where eliminating a single factor with two priors causes a memory corruption error.  To run the test and see the error, go to the last test in testGaussianFactor called "exploding_MAST_factor" and uncomment the indicated line.  
							
							
							
						 
						
							2010-02-23 18:41:07 +00:00  
				
					
						
							
							
								 
						
							
							
								3247751b5d 
								
							
								 
							
						 
						
							
							
								
								Major check-in: there are now two interchangeable implementations of VectorConfig.  
							
							... 
							
							
							
							VectorMap uses a straightforward stl::map of Vectors. It has O(log n)
insert and access, and is fairly fast at both. However, it has high overhead
for arithmetic operations such as +, scale, axpy etc...
VectorBTree uses a functional BTree as a way to access SubVectors
in an ordinary Vector. Inserting is O(n) and much slower, but accessing,
is O(log n) and might be a bit slower than VectorMap. Arithmetic operations
are blindingly fast, however. The cost is it is not as KISS as VectorMap.
Access to vectors is now exclusively via operator[]
Vector access in VectorMap is via a Vector reference
Vector access in VectorBtree is via the SubVector type (see Vector.h)
Feb 16 2010: FD: I made VectorMap the default, because I decided to try
and speed up conjugate gradients by using Sparse FactorGraphs all the way. 
							
						 
						
							2010-02-17 03:29:12 +00:00  
				
					
						
							
							
								 
						
							
							
								87cc573d34 
								
							
								 
							
						 
						
							
							
								
								Added a new combine process for GaussianFactors that allocates only one matrix when combining, rather than using append factor to make a large number of smaller matrices.  There is a flag to switch between these modes, which currently defaults to the older approach.  Currently, there does not appear to be a performance improvement, however.  
							
							
							
						 
						
							2010-01-31 17:49:33 +00:00  
				
					
						
							
							
								 
						
							
							
								ac870bce4c 
								
							
								 
							
						 
						
							
							
								
								GaussianFactor::transposeMultiplyAdd  
							
							
							
						 
						
							2010-01-31 03:33:53 +00:00  
				
					
						
							
							
								 
						
							
							
								59c7ce7e29 
								
							
								 
							
						 
						
							
							
								
								Integrated householder-based QR into NoiseModel.  Note that the examples for GFG have changed to ensure that they are actually a linearized version of the nonlinear example.  
							
							
							
						 
						
							2010-01-27 04:39:35 +00:00  
				
					
						
							
							
								 
						
							
							
								351cdd18c2 
								
							
								 
							
						 
						
							
							
								
								case change: SharedGaussian and SharedDiagonal are now classes with their own header file. Needed for MATLAB TORO hail Mary  
							
							
							
						 
						
							2010-01-22 17:36:57 +00:00  
				
					
						
							
							
								 
						
							
							
								5f588031bc 
								
							
								 
							
						 
						
							
							
								
								Merged NoiseQR back into trunk  
							
							
							
						 
						
							2010-01-20 18:32:48 +00:00  
				
					
						
							
							
								 
						
							
							
								b47438a86c 
								
							
								 
							
						 
						
							
							
								
								Smart named constructors Covariance/Variances/Variance  
							
							
							
						 
						
							2010-01-20 00:26:49 +00:00  
				
					
						
							
							
								 
						
							
							
								fb0ca07bf1 
								
							
								 
							
						 
						
							
							
								
								Added and tested whitening parameter for matrix() and matrix_augmented()  
							
							
							
						 
						
							2010-01-19 16:52:01 +00:00  
				
					
						
							
							
								 
						
							
							
								88e465910a 
								
							
								 
							
						 
						
							
							
								
								SQP tests and implementation now use the new Key system  
							
							
							
						 
						
							2010-01-19 05:33:44 +00:00  
				
					
						
							
							
								 
						
							
							
								aef0b42562 
								
							
								 
							
						 
						
							
							
								
								Refactoring to use a new Symbol key instead of strings in Bayes*, Gaussian*, Ordering, Symbolic*, VectorConfig.  Renamed existing type-checking key Symbol<C,T> to TypedSymbol<C,T>  
							
							
							
						 
						
							2010-01-17 19:34:57 +00:00  
				
					
						
							
							
								 
						
							
							
								266fc56dea 
								
							
								 
							
						 
						
							
							
								
								Gradient using new operator^ and errors method  
							
							
							
						 
						
							2009-12-27 12:13:31 +00:00  
				
					
						
							
							
								 
						
							
							
								c38683cd64 
								
							
								 
							
						 
						
							
							
								
								Sped up and fixed (?) sparse  
							
							
							
						 
						
							2009-12-12 06:18:29 +00:00  
				
					
						
							
							
								 
						
							
							
								a66f08a5e0 
								
							
								 
							
						 
						
							
							
								
								testing new alphaFactor  
							
							
							
						 
						
							2009-12-11 18:03:43 +00:00  
				
					
						
							
							
								 
						
							
							
								fe974a3e72 
								
							
								 
							
						 
						
							
							
								
								Rank test needs to be re-thought  
							
							
							
						 
						
							2009-11-13 06:17:19 +00:00  
				
					
						
							
							
								 
						
							
							
								c7b86cec97 
								
							
								 
							
						 
						
							
							
								
								Renamed ConditionalGaussian -> GaussianConditional  
							
							
							
						 
						
							2009-11-12 16:41:18 +00:00  
				
					
						
							
							
								 
						
							
							
								77a1754b69 
								
							
								 
							
						 
						
							
							
								
								Renamed LinearFactor -> GaussianFactor, LinearFactorGraph -> GaussianFactorGraph  
							
							
							
						 
						
							2009-11-12 16:16:32 +00:00