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1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3 // http://code.google.com/p/ceres-solver/
4 //
5 // Redistribution and use in source and binary forms, with or without
6 // modification, are permitted provided that the following conditions are met:
7 //
8 // * Redistributions of source code must retain the above copyright notice,
9 //   this list of conditions and the following disclaimer.
10 // * Redistributions in binary form must reproduce the above copyright notice,
11 //   this list of conditions and the following disclaimer in the documentation
12 //   and/or other materials provided with the distribution.
13 // * Neither the name of Google Inc. nor the names of its contributors may be
14 //   used to endorse or promote products derived from this software without
15 //   specific prior written permission.
16 //
17 // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
18 // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
19 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
20 // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
21 // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
22 // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
23 // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
24 // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
25 // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
26 // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
27 // POSSIBILITY OF SUCH DAMAGE.
28 //
29 // Author: sameeragarwal@google.com (Sameer Agarwal)
30 //         keir@google.m (Keir Mierle)
31 //
32 // This is the interface through which the least squares solver accesses the
33 // residual and Jacobian of the least squares problem. Users are expected to
34 // subclass CostFunction to define their own terms in the least squares problem.
35 //
36 // It is recommended that users define templated residual functors for use as
37 // arguments for AutoDiffCostFunction (see autodiff_cost_function.h), instead of
38 // directly implementing the CostFunction interface. This often results in both
39 // shorter code and faster execution than hand-coded derivatives. However,
40 // specialized cases may demand direct implementation of the lower-level
41 // CostFunction interface; for example, this is true when calling legacy code
42 // which is not templated on numeric types.
43 
44 #ifndef CERES_PUBLIC_COST_FUNCTION_H_
45 #define CERES_PUBLIC_COST_FUNCTION_H_
46 
47 #include <vector>
48 #include "ceres/internal/macros.h"
49 #include "ceres/internal/port.h"
50 #include "ceres/types.h"
51 #include "ceres/internal/disable_warnings.h"
52 
53 namespace ceres {
54 
55 // This class implements the computation of the cost (a.k.a. residual) terms as
56 // a function of the input (control) variables, and is the interface for users
57 // to describe their least squares problem to Ceres. In other words, this is the
58 // modelling layer between users and the Ceres optimizer. The signature of the
59 // function (number and sizes of input parameter blocks and number of outputs)
60 // is stored in parameter_block_sizes_ and num_residuals_ respectively. User
61 // code inheriting from this class is expected to set these two members with the
62 // corresponding accessors. This information will be verified by the Problem
63 // when added with AddResidualBlock().
64 class CERES_EXPORT CostFunction {
65  public:
CostFunction()66   CostFunction() : num_residuals_(0) {}
67 
~CostFunction()68   virtual ~CostFunction() {}
69 
70   // Inputs:
71   //
72   // parameters is an array of pointers to arrays containing the
73   // various parameter blocks. parameters has the same number of
74   // elements as parameter_block_sizes_.  Parameter blocks are in the
75   // same order as parameter_block_sizes_.i.e.,
76   //
77   //   parameters_[i] = double[parameter_block_sizes_[i]]
78   //
79   // Outputs:
80   //
81   // residuals is an array of size num_residuals_.
82   //
83   // jacobians is an array of size parameter_block_sizes_ containing
84   // pointers to storage for jacobian blocks corresponding to each
85   // parameter block. Jacobian blocks are in the same order as
86   // parameter_block_sizes, i.e. jacobians[i], is an
87   // array that contains num_residuals_* parameter_block_sizes_[i]
88   // elements. Each jacobian block is stored in row-major order, i.e.,
89   //
90   //   jacobians[i][r*parameter_block_size_[i] + c] =
91   //                              d residual[r] / d parameters[i][c]
92   //
93   // If jacobians is NULL, then no derivatives are returned; this is
94   // the case when computing cost only. If jacobians[i] is NULL, then
95   // the jacobian block corresponding to the i'th parameter block must
96   // not to be returned.
97   //
98   // The return value indicates whether the computation of the
99   // residuals and/or jacobians was successful or not.
100   //
101   // This can be used to communicate numerical failures in jacobian
102   // computations for instance.
103   //
104   // A more interesting and common use is to impose constraints on the
105   // parameters. If the initial values of the parameter blocks satisfy
106   // the constraints, then returning false whenever the constraints
107   // are not satisfied will prevent the solver from moving into the
108   // infeasible region. This is not a very sophisticated mechanism for
109   // enforcing constraints, but is often good enough for things like
110   // non-negativity constraints.
111   //
112   // Note that it is important that the initial values of the
113   // parameter block must be feasible, otherwise the solver will
114   // declare a numerical problem at iteration 0.
115   virtual bool Evaluate(double const* const* parameters,
116                         double* residuals,
117                         double** jacobians) const = 0;
118 
parameter_block_sizes()119   const vector<int32>& parameter_block_sizes() const {
120     return parameter_block_sizes_;
121   }
122 
num_residuals()123   int num_residuals() const {
124     return num_residuals_;
125   }
126 
127  protected:
mutable_parameter_block_sizes()128   vector<int32>* mutable_parameter_block_sizes() {
129     return &parameter_block_sizes_;
130   }
131 
set_num_residuals(int num_residuals)132   void set_num_residuals(int num_residuals) {
133     num_residuals_ = num_residuals;
134   }
135 
136  private:
137   // Cost function signature metadata: number of inputs & their sizes,
138   // number of outputs (residuals).
139   vector<int32> parameter_block_sizes_;
140   int num_residuals_;
141   CERES_DISALLOW_COPY_AND_ASSIGN(CostFunction);
142 };
143 
144 }  // namespace ceres
145 
146 #include "ceres/internal/reenable_warnings.h"
147 
148 #endif  // CERES_PUBLIC_COST_FUNCTION_H_
149