The analysis is cast in its most natural form, namely in mixed static-kinematic variables, and leads to, what is known in the mathematical programing literature, as a mathematical program with equilibrium constraints or MPEC.
Newer textbooks, however, frequently include simple computer instructions for use with a symbolic mathematical program.
Therefore, we propose a mathematical program to minimize the penalized earliness and tardiness.
Newer textbooks, however, frequently include simple computer instructions for use with a symbolic mathematical program such as Mathematica™ or Maple™.
It is a continuous bi-level mathematical program with equilibrium constraints.
This is a bicriteria optimization problem which is solved by formulating a nonlinear mathematical program.
We develop a mathematical program formulation and investigate a case study.
A Bayesian optimization approach is proposed to solve the resulting mathematical program.
We avoid this by formulating and solving the mesh design problem as a mathematical program.
The problem is formulated as a single-level mathematical program with complementarity constraints (MPCC).
With probit SUE stated as a fixed-point condition, the NDP is a mathematical program with equilibrium constraints (MPEC).
