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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
+// http://code.google.com/p/ceres-solver/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+// used to endorse or promote products derived from this software without
+// specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: wjr@google.com (William Rucklidge)
+//
+// This file contains a cost function that can apply a transformation to
+// each residual value before they are square-summed.
+
+#ifndef CERES_PUBLIC_CONDITIONED_COST_FUNCTION_H_
+#define CERES_PUBLIC_CONDITIONED_COST_FUNCTION_H_
+
+#include <vector>
+
+#include "ceres/cost_function.h"
+#include "ceres/internal/scoped_ptr.h"
+#include "ceres/types.h"
+
+namespace ceres {
+
+// This class allows you to apply different conditioning to the residual
+// values of a wrapped cost function. An example where this is useful is
+// where you have an existing cost function that produces N values, but you
+// want the total cost to be something other than just the sum of these
+// squared values - maybe you want to apply a different scaling to some
+// values, to change their contribution to the cost.
+//
+// Usage:
+//
+// // my_cost_function produces N residuals
+// CostFunction* my_cost_function = ...
+// CHECK_EQ(N, my_cost_function->num_residuals());
+// vector<CostFunction*> conditioners;
+//
+// // Make N 1x1 cost functions (1 parameter, 1 residual)
+// CostFunction* f_1 = ...
+// conditioners.push_back(f_1);
+// ...
+// CostFunction* f_N = ...
+// conditioners.push_back(f_N);
+// ConditionedCostFunction* ccf =
+// new ConditionedCostFunction(my_cost_function, conditioners);
+//
+// Now ccf's residual i (i=0..N-1) will be passed though the i'th conditioner.
+//
+// ccf_residual[i] = f_i(my_cost_function_residual[i])
+//
+// and the Jacobian will be affected appropriately.
+class ConditionedCostFunction : public CostFunction {
+ public:
+ // Builds a cost function based on a wrapped cost function, and a
+ // per-residual conditioner. Takes ownership of all of the wrapped cost
+ // functions, or not, depending on the ownership parameter. Conditioners
+ // may be NULL, in which case the corresponding residual is not modified.
+ ConditionedCostFunction(CostFunction* wrapped_cost_function,
+ const vector<CostFunction*>& conditioners,
+ Ownership ownership);
+ virtual ~ConditionedCostFunction();
+
+ virtual bool Evaluate(double const* const* parameters,
+ double* residuals,
+ double** jacobians) const;
+
+ private:
+ internal::scoped_ptr<CostFunction> wrapped_cost_function_;
+ vector<CostFunction*> conditioners_;
+ Ownership ownership_;
+};
+
+} // namespace ceres
+
+
+#endif // CERES_PUBLIC_CONDITIONED_COST_FUNCTION_H_