Lines Matching full:cost
36 // To get an numerically differentiated cost function, you must define
49 // for a series of measurements, where there is an instance of the cost function
52 // The actual cost added to the total problem is e^2, or (k - x'k)^2; however,
55 // To write an numerically-differentiable cost function for the above model, first
80 // cost function with central differences used for computing the
98 // NumericDiffCostFunction also supports cost functions with a
113 // The framework can currently accommodate cost functions of up to 10
117 // The central difference method is considerably more accurate at the cost of
139 // To get a numerically differentiated cost function, define a
145 // differentiation wrapper class is templated on the concrete cost
149 // The numerically differentiated version of a cost function for a cost function
