Knitro to AIMMS Mapping

Description

The table shows in the left column the parameters from Knitro that can be set in AIMMS; the right column displays for each Knitro option the associated AIMMS option.

Name in Knitro

Option name in AIMMS

act_lpalg

LP Algorithm

act_lpfeastol

LP Feasibility Tolerance

act_lppenalty

Objective Reduction

act_lppresolve

LP Presolve

act_lpsolver

LP Solver

act_qpalg

QP Algorithm

act_qppenalty

Act QPpenalty

bar_conic_enable

Barrier Enable Conic

bar_directinterval

Direct Step Interval

bar_feasible

Feasible Mode

bar_feasmodetol

Feasible Mode Activation Tolerance

bar_globalize

Barrier Globalize

bar_initmu

Initial Barrier Parameter Value

bar_initpi_mpec

Initial Barrier Penalty Value MPEC

bar_initpt

Initial Point Strategy

bar_linsys

Linear System Form Used

bar_linsys_storage

Linear System Memory Usage

bar_maxcorrectors

Barrier Corrector Steps Limit

bar_maxcrossit

Crossover Iterations Limit

bar_maxmu

Barrier Maximum Mu

bar_maxrefactor

Refactorization Limit

bar_mpec_heuristic

Barrier MPEC Heuristic

bar_murule

Barrier Parameter Strategy

bar_penaltycons

Barrier Penalty Constraint Strategy

bar_penaltyrule

Barrier Penalty Parameter Strategy

bar_refinement

Barrier Refinement

bar_relaxcons

Barrier Relax Constraints

bar_slackboundpush

Barrier Slack Bound Push

bar_switchobj

Barrier Switch Objective

bar_switchrule

Barrier Switch Rule

bar_watchdog

Barrier Watchdog

blas_numthreads

Number of BLAS Threads

blasoption

BLAS Option

cg_maxit

Conjugate Gradient Iteration Limit

cg_pmem

Conjugate Gradient Memory Limit

cg_precond

Conjugate Gradient Preconditioner

cg_stoptol

Conjugate Gradient Stopping Tolerance

convex

Mark as Convex

datacheck

Data Check

debug

Debugging Output

delta

Initial Trust Scaling Factor

feastol

Relative Feasibility Tolerance

feastol_abs

Absolute Feasibility Tolerance

findiff_estnoise

Estimate Noise in the Model

findiff_numthreads

Number of Gradient Computation Threads

fstopval

Objective Goal

ftol

Relative Improvement Tolerance

ftol_iters

Relative Improvement Iterations

gradopt

Gradient Computation Method

hessopt

Hessian Computation Method

honorbnds

Honor Bounds

infeastol

Infeasibility Tolerance

infeastol_iters

Infeasibility Tolerance Iteration Limit

initpenalty

Initial Penalty Value

linesearch

Linesearch Strategy

linesearch_maxtrials

Linesearch Trials Limit

linsolver

Linear Solver

linsolver_maxitref

Linear System Max Iterative Refinements

linsolver_nodeamalg

Linear Solver Node Amalgamation

linsolver_numthreads

Number of Linear System Threads

linsolver_ooc

Linear Solver Out of Core

linsolver_ordering

Linear Solver Ordering

linsolver_pivottol

Initial Pivot Treshold

linsolver_scaling

Linear Solver Scaling

lmsize

Limited Memory Size

ma_outsub

Multi Algorithm Output

ma_terminate

Multi Algorithm Termination

maxfevals

Function Evaluations Limit

maxit

Iteration Limit in ‘Solvers general’

maxtime_cpu

Time Limit in ‘Solvers general’

mip_branchrule

MIP Branching Rule

mip_clique

Clique Cuts

mip_cut_flowcover

Flow Cover Cuts

mip_cut_probing

Probing Cuts

mip_cutoff

MIP Objective Cutoff Value

mip_debug

Debugging MIP output

mip_gomory

Gomory Cuts

mip_gub_branch

MIP GUB Branch

mip_heuristic

MIP Heuristic

mip_heuristic_diving

MIP Heuristic Diving

mip_heuristic_feaspump

MIP Heuristic Feasibility Pump

mip_heuristic_lns

MIP Heuristic Large Neighborhood Search

mip_heuristic_localsearch

MIP Heuristic Local Search

mip_heuristic_maxit

MIP Heuristic Iteration Limit

mip_heuristic_misqp

MIP MISQP Heuristic

mip_heuristic_mpec

MIP Heuristic MPEC

mip_heuristic_strategy

MIP Heuristic Strategy

mip_heuristic_terminate

MIP Heuristic Terminate

mip_implications

MIP Implications

mip_integer_tol

Integrality

mip_intvar_strategy

MIP Integer Variables Strategy

mip_knapsack

Knapsack Cuts

mip_liftproject

Lift and Project Cuts

mip_lpalg

MIP Algorithm

mip_maxnodes

Maximal Number of Nodes

mip_maxsolves

Maximal Number of Subproblem Solves

mip_method

MIP Method

mip_mir

MIR Cuts

mip_multistart

MIP Multistart

mip_nodealg

Node Algorithm

mip_numthreads

Number of MIP Threads

mip_outinterval

MIP Output Level

mip_pseudoinit

MIP Pseudo Cost Initialization

mip_relaxable

MIP Integer Variables Relaxable

mip_restart

MIP Restart

mip_rootalg

MIP Start Algorithm

mip_rounding

MIP Rounding

mip_selectdir

Node Selection_Direction

mip_selectrule

Node Selection

mip_strong_candlim

Strong Branching Candidates Limit

mip_strong_level

Strong Branching Level

mip_strong_maxit

Strong Branching Iteration Limit

mip_terminate

MIP Terminate

mip_zerohalf

Zero Half Cuts

ms_deterministic

Multistart Deterministic

ms_enable

Multistart

ms_intpt_cluster

Multistart Initial Points Cluster

ms_maxbndrange

Multistart Range Unbounded Variable

ms_maxsolves

Number of Multistart Points

ms_num_to_save

Number of Best Solutions

ms_numthreads

Number of Multistart Threads

ms_savetol

Solution Distance

ms_seed

Multistart Seed

ms_startptrange

Multistart Range

ms_terminate

Multistart Termination Condition

ncvx_qcqp_init

QP and QCQP Initialization Strategy

numthreads

Number of Threads

objrange

Unboundedness Range

opttol

Relative Optimality Tolerance

opttol_abs

Absolute Optimality Tolerance

outlev

Status File Display

numthreads

Number of Threads

presolve

Presolve

presolve_initpt

Presolve Initial Point

presolve_level

Presolve Level

presolve_passes

Presolve Passes

presolve_tol

Presolve Tolerance

presolveop_redundant

Presolve Redundant Constraints

presolveop_substitution

Presolve Substitution

presolveop_substitution_tol

Presolve Substitution Tolerance

presolveop_tighten

Tighten Variable Bounds

restarts

Restarts

restarts_maxit

Restarts Iteration Limit

scale

Scaling

scale_vars

Scale Variables

soc

Second Order Correction

strat_warm_start

Warm Start Strategy

tuner

Tuner

tuner_maxtime_cpu

Tuner Time Limit

tuner_outsub

Tuner Output

tuner_terminate

Tuner Terminate

xtol

Solution Progress Tolerance

xtol_iters

Solution Progress Iterations