FanChenLinQuadraticOptimization Properties 
The FanChenLinQuadraticOptimization type exposes the following members.
Name  Description  

NumberOfVariables 
Gets the number of variables (free parameters) in the optimization
problem. In a SVM learning problem, this is the number of samples in
the learning dataset.
 
Rho 
Gets the threshold (bias) value for a SVM trained using this method.
 
Shrinking 
Gets or sets a value indicating whether shrinking
heuristics should be used. Default is false.
 
Solution 
Gets the current solution found, the values of
the parameters which optimizes the function.
 
Token 
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
 
Tolerance 
Gets or sets the precision tolerance before
the method stops. Default is 0.001.
 
UpperBounds 
Gets the upper bounds for the optimization problem. In
a SVM learning problem, this would be the capacity limit
for each Lagrange multiplier (alpha) in the machine. The
default is to use a vector filled with 1's.
 
Value 
Gets the output of the function at the current Solution.
