Problem definition

There are 3 ways to define a model in Nonconvex.jl:

1. Model which assumes all the variables are indexed by an integer index starting from 1. The decision variables are therefore a vector.
2. DictModel which assumes each variable has a name. The decision variables are stored in an OrderedDict, an ordered dictionary data structure.
3. Start from JuMP.Model and convert it to DictModel. This is convenient to make use of JuMP's user-friendly macros for variable and linear expression, objective or constraint definitions.

Table of contents

• Model definition
• • Variable definition
  • • Add a single variable
    • Add multiple variables
  • Objective definition
  • Inequality constraint definition
  • Equality constraint definition
  • Changing variable bounds
  • Changing integrality constraints
• DictModel definition
• • JuMP model to Nonconvex DictModel
  • Variable definition
  • • Add a single variable
    • Add multiple variables
  • Objective definition
  • Inequality constraint definition
  • Equality constraint definition
• Model queries
• • Number of decision variables
  • Number of constraints
  • Problem dimension
  • Objective and constraint functions
  • Initial solution
  • Variables bounds
  • Integrality constraints