USER'S GUIDE

  • AIMMS Basics
  • Creating and Managing a Model
  • Data Management
  • AIMMS and Solvers
    • AIMMS IDE
    • Baron
    • CBC
    • CONOPT
    • COPT
    • CP Optimizer
    • CPLEX
    • GUROBI
    • IPOPT
    • KNITRO
      • KNITRO
      • Knitro to AIMMS Mapping
      • AIMMS to Knitro 14.0 Mapping
      • Description of Knitro Algorithms
      • Complementarities
      • Tuner
      • KNITRO Options
        • General
        • Advanced
        • Hessian
        • Interior Point
        • MIP
        • MIP Cuts
        • Multistart
        • Parallel
        • Presolve
        • Reporting
        • Termination
        • Tolerances
        • Tuner
        • Debugging
    • MINOS
    • ODH-CPLEX
    • PATH
    • SNOPT
    • XA
    • CompLis
  • Miscellaneous
User's Guide
AIMMS Logo
  • User's Guide »
  • AIMMS and Solvers »
  • KNITRO »
  • KNITRO Options »
  • Advanced
  • Edit on Github

Advanced

  • Estimate Noise in the Model
  • Gradient Computation Method
  • Initial Penalty Value
  • Initial Pivot Treshold
  • Initial Trust Scaling Factor
  • Linesearch Strategy
  • Linesearch Trials Limit
  • LP Algorithm
  • LP Penalty Formulation
  • LP Presolve
  • Objective Reduction
  • QP and QCQP Initialization Strategy
  • Solution Progress Iterations
  • Solution Progress Tolerance
Last updated: Aug 06, 2025

Help & Feedback

Docs

Edit this page to fix an error or add an improvement in a pull request
Create an issue to suggest an improvement to this page

Product

Create a topic if there's something you don't like about this feature
Propose functionality by submitting a feature request

Support

Not what you where looking for? Search the docs

Remember we also have Community support

Still having trouble ? Reach out to us


Next Previous

AIMMS
AIMMS COMMUNITY
AIMMS DOCS
DISCLAIMER
PRIVACY STATEMENT
© 1989 - 2025 AIMMS B.V.