Distinguishes types of mixed integer quadratically constrained programs according to quadratic terms in the constraints of the model.

What is Miqcp?

Distinguishes types of mixed integer quadratically constrained programs according to quadratic terms in the constraints of the model.

Can cplex handle quadratic constraints?

CPLEX Quadratic Programming CPLEX can also handle problems that have quadratic constraints: Quadratically Constrained Programming (QCP) problems and Mixed Integer Quadratically Constrained Programming (MIQCP) problems.

What is mixed integer quadratic programming?

Mixed-integer quadratic programming (MIQP) is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral.

How do I use cplex in python?

To start using the CPLEX Python API, set the Python path environment variable PYTHONPATH to the value of yourCplexhome/python/VERSION/PLATFORM. Setting this environment variable enables that version of Python to find the CPLEX modules that it needs to run Python commands and scripts that use the CPLEX Python API.

Which cplex optimizer recognizes a special class of linear programming problems with network structure?

The ILOG CPLEX Network Optimizer recognizes a special class of linear programming problems with network structure. It uses highly efficient network algorithms on that part of the problem to find a solution from which it then constructs an advanced basis for the rest of your problem.

What is a mixed integer?

A mixed-integer programming (MIP) problem is one where some of the decision variables are constrained to be integer values (i.e. whole numbers such as -1, 0, 1, 2, etc.) at the optimal solution. The use of integer variables greatly expands the scope of useful optimization problems that you can define and solve.

What problems can CPLEX solve?

CPLEX is a tool for solving linear optimization problems, commonly referred to as Linear Programming (LP) problems. It also can solve several extensions to LP: Network Flow problems, a special case of LP that CPLEX can solve much faster by exploiting the problem structure.

Is CPLEX free?

CPLEX Optimization Studio is free for students and academics!

How does CPLEX solve miqps?

By default, CPLEX can solve MIQPs where the restriction of the problem to its continuous and general integer variables is a convex quadratic program (QP). If this assumption is not satisfied, CPLEX will return the error CPXERR_Q_NOT_POS_DEF.

What is the difference between MIQP and MIQCP?

However, if there is a quadratic term in the objective function, the problem is termed a Mixed Integer Quadratic Program (MIQP). If the model has any constraints containing a quadratic term, regardless of the objective function, the problem is termed a Mixed Integer Quadratically Constrained Program (MIQCP).

What is a mixed integer quadratically constrained program (MIQCP)?

If the model has any constraints containing a quadratic term, regardless of the objective function, the problem is termed a Mixed Integer Quadratically Constrained Program (MIQCP). This topic explores MIQCP further and specifies the features of MIQCP problems that CPLEX solves.

What is a partial MIP start in CPLEX?

For mipstart equals 1, 2, 3 or 4 fractional values are rounded to the nearest integer value if the integrality violation is larger than CPLEX’s integer tolerance and smaller or equal to tryint. A partial MIP start is applied for mipstart equals 1, 3 or 4.