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Problem::Evaluate implementation.
1. Add Problem::Evaluate and tests. 2. Remove Solver::Summary::initial/final_* 3. Remove Solver::Options::return_* members. 4. Various cpplint cleanups. Change-Id: I4266de53489896f72d9c6798c5efde6748d68a47
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@@ -110,12 +110,6 @@ class Solver {
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jacobi_scaling = true;
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logging_type = PER_MINIMIZER_ITERATION;
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minimizer_progress_to_stdout = false;
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return_initial_residuals = false;
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return_initial_gradient = false;
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return_initial_jacobian = false;
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return_final_residuals = false;
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return_final_gradient = false;
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return_final_jacobian = false;
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lsqp_dump_directory = "/tmp";
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lsqp_dump_format_type = TEXTFILE;
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check_gradients = false;
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@@ -481,14 +475,6 @@ class Solver {
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// is sent to STDOUT.
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bool minimizer_progress_to_stdout;
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bool return_initial_residuals;
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bool return_initial_gradient;
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bool return_initial_jacobian;
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bool return_final_residuals;
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bool return_final_gradient;
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bool return_final_jacobian;
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// List of iterations at which the optimizer should dump the
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// linear least squares problem to disk. Useful for testing and
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// benchmarking. If empty (default), no problems are dumped.
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@@ -596,54 +582,6 @@ class Solver {
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// blocks that they depend on were fixed.
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double fixed_cost;
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// Vectors of residuals before and after the optimization. The
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// entries of these vectors are in the order in which
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// ResidualBlocks were added to the Problem object.
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//
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// Whether the residual vectors are populated with values is
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// controlled by Solver::Options::return_initial_residuals and
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// Solver::Options::return_final_residuals respectively.
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vector<double> initial_residuals;
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vector<double> final_residuals;
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// Gradient vectors, before and after the optimization. The rows
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// are in the same order in which the ParameterBlocks were added
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// to the Problem object.
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//
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// NOTE: Since AddResidualBlock adds ParameterBlocks to the
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// Problem automatically if they do not already exist, if you wish
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// to have explicit control over the ordering of the vectors, then
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// use Problem::AddParameterBlock to explicitly add the
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// ParameterBlocks in the order desired.
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//
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// Whether the vectors are populated with values is controlled by
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// Solver::Options::return_initial_gradient and
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// Solver::Options::return_final_gradient respectively.
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vector<double> initial_gradient;
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vector<double> final_gradient;
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// Jacobian matrices before and after the optimization. The rows
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// of these matrices are in the same order in which the
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// ResidualBlocks were added to the Problem object. The columns
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// are in the same order in which the ParameterBlocks were added
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// to the Problem object.
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//
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// NOTE: Since AddResidualBlock adds ParameterBlocks to the
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// Problem automatically if they do not already exist, if you wish
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// to have explicit control over the column ordering of the
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// matrix, then use Problem::AddParameterBlock to explicitly add
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// the ParameterBlocks in the order desired.
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//
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// The Jacobian matrices are stored as compressed row sparse
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// matrices. Please see ceres/crs_matrix.h for more details of the
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// format.
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//
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// Whether the Jacboan matrices are populated with values is
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// controlled by Solver::Options::return_initial_jacobian and
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// Solver::Options::return_final_jacobian respectively.
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CRSMatrix initial_jacobian;
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CRSMatrix final_jacobian;
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vector<IterationSummary> iterations;
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int num_successful_steps;
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