osqpSettings | R Documentation |
For further details please consult the OSQP documentation: https://osqp.org/
osqpSettings(
rho = 0.1,
sigma = 1e-06,
max_iter = 4000L,
eps_abs = 0.001,
eps_rel = 0.001,
eps_prim_inf = 1e-04,
eps_dual_inf = 1e-04,
alpha = 1.6,
linsys_solver = c(QDLDL_SOLVER = 0L),
delta = 1e-06,
polish = FALSE,
polish_refine_iter = 3L,
verbose = TRUE,
scaled_termination = FALSE,
check_termination = 25L,
warm_start = TRUE,
scaling = 10L,
adaptive_rho = 1L,
adaptive_rho_interval = 0L,
adaptive_rho_tolerance = 5,
adaptive_rho_fraction = 0.4,
time_limit = 0
)
rho |
ADMM step rho |
sigma |
ADMM step sigma |
max_iter |
maximum iterations |
eps_abs |
absolute convergence tolerance |
eps_rel |
relative convergence tolerance |
eps_prim_inf |
primal infeasibility tolerance |
eps_dual_inf |
dual infeasibility tolerance |
alpha |
relaxation parameter |
linsys_solver |
which linear systems solver to use, 0=QDLDL, 1=MKL Pardiso |
delta |
regularization parameter for polish |
polish |
boolean, polish ADMM solution |
polish_refine_iter |
iterative refinement steps in polish |
verbose |
boolean, write out progress |
scaled_termination |
boolean, use scaled termination criteria |
check_termination |
integer, check termination interval. If 0, termination checking is disabled |
warm_start |
boolean, warm start |
scaling |
heuristic data scaling iterations. If 0, scaling disabled |
adaptive_rho |
cboolean, is rho step size adaptive? |
adaptive_rho_interval |
Number of iterations between rho adaptations rho. If 0, it is automatic |
adaptive_rho_tolerance |
Tolerance X for adapting rho. The new rho has to be X times larger or 1/X times smaller than the current one to trigger a new factorization |
adaptive_rho_fraction |
Interval for adapting rho (fraction of the setup time) |
time_limit |
run time limit with 0 indicating no limit |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.