What exactly is the optimality-gap or what does it say in integer ...
Oct 2, 2022 · What exactly is the optimality-gap or what does it say in integer linear programming? Ask Question Asked 3 years, 2 months ago Modified 3 years, 2 months ago
cplex - For integer programming, CPU vs RAM vs GPU, which is …
Oct 30, 2024 · 6 For integer programming application where usage is made of CPLEX or Gurobi or other state of the art solver, is it better to go with a faster CPU or is it better to go for higher …
Can an integer optimization problem be convex?
Sep 20, 2019 · Other places seem to consider problems where if aside from the integer constraint, all other constraints and the objective function are convex, to be convex …
mixed integer programming - What is the best open-source solver …
Jul 7, 2024 · The integer part of my problem is due to a piece-wise linear function in the cost function for which to model I introduce around 1e5 binary variables. Are there better open …
integer programming - Confusion Between Different Types of …
Feb 5, 2022 · Discrete Optimization Integer Optimization Mixed Integer Optimization Combinatorial Optimization When I think of these problems, the first thing that comes to mind …
Books for integer and mixed integer programming
May 1, 2022 · I would like to know which is a good theoretical book to study integer programming and mixed integer programming. Searching I found a large number of books, however each …
Duality in mixed integer linear programs
Oct 14, 2019 · I was wondering why an integer program does not have a dual problem and whether this extends to any integer program? For example, an integer program with a totally …
software - I have found so many tools that can solve optimization ...
Feb 22, 2024 · The GLPK (GNU Linear Programming Kit) package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems.
duality - Dual bounds of integer programming problems
Dec 16, 2019 · I often read in papers when branch-and-X algorithms are used to solve mixed integer programming problems, that the lower bound (in the minimization case) obtained from …
linear programming - Why is it important to choose big-M …
The question here discusses the two different use of "big-M method", where one of them is the big-M in logical constraints and linearization in (mixed-)integer programming problems (that's …