modOpt

0.2.1

Contents

Getting Started
Defining Optimization Problems
- ProblemLite
- Problem
- CSDL_alpha
- OpenMDAO
- Jax
- CasADi
- CSDL (deprecated)
Solving Optimization Problems
- Performant algorithms
  - SLSQP
  - PySLSQP
  - COBYLA
  - BFGS
  - LBFGSB
  - NelderMead
  - COBYQA
  - TrustConstr
  - OpenSQP
  - SNOPT
  - IPOPT
  - ConvexQPSolvers
  - CVXOPT
- Educational algorithms
Post-processing
New Optimizer Development
Benchmarking
- CUTEst Problem Table
Developer Docs
Tutorials
- A simple example (unconstrained)
Examples
- Basic examples
- Advanced examples
API Reference
Contributing to modOpt
Changelog
License

Performant algorithms

SLSQP
PySLSQP
COBYLA
BFGS
LBFGSB
NelderMead
COBYQA
TrustConstr
OpenSQP
SNOPT
IPOPT
ConvexQPSolvers
CVXOPT

Educational algorithms

SteepestDescent
Newton
QuasiNewton
NewtonLagrange
L2PenaltyEq
SQP
InteriorPoint
NelderMeadSimplex
PSO
SimulatedAnnealing

modOpt

Solving Optimization Problems
Performant algorithms
View page source

Performant algorithms

List of performant algorithms

SLSQP
PySLSQP
COBYLA
BFGS
LBFGSB
NelderMead
COBYQA
TrustConstr
OpenSQP
SNOPT
IPOPT
ConvexQPSolvers
CVXOPT

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