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Home
Technology
Decision Engine
Documentation
Case studies
About
Menu
Home
Technology
Decision Engine
Documentation
Case studies
About
Engine & Neural documentation
Math blog
BQP Reformulations
Domain Reduction
Introduction
Optimality based bounds tightening (OBBT)
Feasibility based bounds tightening (FBBT)
Constraint propagation (CP)
Branching strategies
Introduction
Most Violated Term
Strong branching
Max Separation Distance
Hybrid integer least reduced axis
Primal heuristics
Nonlinear Feasibility Pump
Starting point strategies
Relaxations
Nonlinear Relaxation for Convex MINLPs
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Octeract Neural
Pyomo
Octeract Neural with Pyomo on Linux
Octeract Neural with Pyomo on Windows
View Details
Octeract Engine Options
How to set options
Options reference
APPLY CB
BIG COEFF TOLERANCE
BIG GAP TOLERANCE
BINARY REFORMULATION PROCEDURE
BOUND VIOLATION TOLERANCE
BQCQP REFORMULATION METHOD
BQP REFORMULATION METHOD
BQP SPARSITY TOLERANCE
BRANCHING STRATEGY
CALCULATE LB LARGE COEFFS
CONSTRAINT VIOLATION TOLERANCE
CONVERGENCE TOLERANCE
CP MAX ITERATIONS
CP NUMBER COMPARISON TOLERANCE
CP SCALING
CP VOLUME IMRPOVEMENT FACTOR
CUT POOL MAX SIZE
FBBT MAX ITERATIONS
FBBT TIMEOUT
FBBT TOLERANCE
FIRST FEASIBLE SOLUTION
HEUR MINLP DIVING
FORCE EXPANSION
HEUR CONSTRAINT PENALTY
HEUR CONSTRAINT PENALTY COEFF
HEUR CS
HEUR FIXING
HEUR GUIDED DIVING
HEUR INEQUALITY
HEUR LB
HEUR NL FEASIBILITY PUMP
HEUR PENALTY
HEUR QPDIVING
HEUR SAP
HEUR SUPREME
HEUR ZERO
INFINITY
INTEGER REFORMULATION VAR RANGE LIMIT
INTEGRALITY VIOLATION TOLERANCE
IPOPT INITIAL VALUE
PURGE CUTS
LLB TOLERANCE
LOCAL SEARCH
LP SOLVER
MAX CB DEPTH
MAX SOLVER ITERATIONS
MAX SOLVER MEMORY
MAX SOLVER TIME
MILP LB MAX NODES
MILP LB TIMEOUT
MILP SOLVER
MIP SOLVER
NUMBER COMPARISON TOLERANCE
NUM CORES
OBBT MAX DEPTH
OBBT MAX ITERATIONS
OUTPUT FREQUENCY
OUTPUT TIME FREQUENCY
PRESOLVE
PRINT SOLUTION
QCQP SOLVER
QP SOLVER
REDUCE LINEAR CONSTRAINTS
REFORMULATE BINARIES
REFORMULATE INTEGERS
REFORMULATE INTEGER IN MIQCQP
SOLVE CONTINUOUS RELAXATION
STARTING POINT IPOPT
STRENGTHEN LINEAR CONSTRAINTS
STRONG BRANCHING DEPTH
STRONG BRANCHING VARIABLE COUNT
UB FREQUENCY
USE AUTOMATIC EXPANSION
USE CONVEXITY CUTS
USE CP
USE FBBT
USE MILP RELAXATION
USE NONLINEAR RELAXATION
USE NONLINEAR RELAXATION FOR CONVEX MINLP
USE OBBT
USE PROBING
USE REDUCED COST
USE REFORMULATION LINEARIZATION
USE SIMPLIFICATION
USE STRUCTURE DETECTOR
WARM START PATH
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Solver flags
Input flags
Exit flags
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Tutorials
Windows Installation Tutorial
Linux Installation Tutorial
Solving your first problem
MPI tutorial
JuMP tutorial
JuMP on Windows
JuMP on Linux
Pyomo tutorial
Pyomo on Windows
Pyomo on Linux
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