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Rationalize some of the variable names in Solver::Options.

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lm_max_diagonal -> max_lm_diagonal
lm_min_diagonal -> min_lm_diagonal
linear_solver_max_num_iterations -> max_linear_solver_iterations
linear_solver_min_num_iterations -> min_linear_solver_iterations

This follows the pattern for the other parameters in Solver::Options
where, the max/min is the first word followed by the name of the
parameter.

Change-Id: I0893610fceb6b7983fdb458a65522ba7079596a7
This commit is contained in:
Sameer Agarwal
2013-07-07 23:04:31 -07:00
parent 7a8f797924
commit eeedd2e191
10 changed files with 51 additions and 51 deletions
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include/ceres/solver.h
+11 -11
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@@ -80,8 +80,8 @@ class Solver {
max_trust_region_radius = 1e16;
min_trust_region_radius = 1e-32;
min_relative_decrease = 1e-3;
lm_min_diagonal = 1e-6;
lm_max_diagonal = 1e32;
min_lm_diagonal = 1e-6;
max_lm_diagonal = 1e32;
max_num_consecutive_invalid_steps = 5;
function_tolerance = 1e-6;
gradient_tolerance = 1e-10;
@@ -103,8 +103,8 @@ class Solver {
num_linear_solver_threads = 1;
linear_solver_ordering = NULL;
use_postordering = false;
linear_solver_min_num_iterations = 1;
linear_solver_max_num_iterations = 500;
min_linear_solver_iterations = 1;
max_linear_solver_iterations = 500;
eta = 1e-1;
jacobi_scaling = true;
use_inner_iterations = false;
@@ -274,11 +274,11 @@ class Solver {
// the normal equations J'J is used to control the size of the
// trust region. Extremely small and large values along the
// diagonal can make this regularization scheme
// fail. lm_max_diagonal and lm_min_diagonal, clamp the values of
// fail. max_lm_diagonal and min_lm_diagonal, clamp the values of
// diag(J'J) from above and below. In the normal course of
// operation, the user should not have to modify these parameters.
double lm_min_diagonal;
double lm_max_diagonal;
double min_lm_diagonal;
double max_lm_diagonal;
// Sometimes due to numerical conditioning problems or linear
// solver flakiness, the trust region strategy may return a
@@ -501,13 +501,13 @@ class Solver {
// Minimum number of iterations for which the linear solver should
// run, even if the convergence criterion is satisfied.
int linear_solver_min_num_iterations;
int min_linear_solver_iterations;
// Maximum number of iterations for which the linear solver should
// run. If the solver does not converge in less than
// linear_solver_max_num_iterations, then it returns
// MAX_ITERATIONS, as its termination type.
int linear_solver_max_num_iterations;
// max_linear_solver_iterations, then it returns MAX_ITERATIONS,
// as its termination type.
int max_linear_solver_iterations;
// Forcing sequence parameter. The truncated Newton solver uses
// this number to control the relative accuracy with which the