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A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

For questions relating to the relaxation of linear integer or mixed-integer-linear programming (MILP) problems where the integer constraints are removed.
27 questions
For questions related to the use of Excel and the Excel solver. The Excel solver is an add-in that allows the solution of linear programming problems, such as product mix problems (whether maximizatio…
27 questions
For questions on first-order necessary conditions for optimality in non-linear programs due to Karush, Kuhn, and Tucker.
26 questions
For questions related to probability distributions, functions that relate a given value to the likelihood that a random variable will take that value.
26 questions
For questions on interfaces between a solver library and applications that allow to call user code at specific points in the solving process (e.g. on finding a new solution).
26 questions
For questions about mathematical optimization problems with continuous and discrete variables and nonlinear functions in the objective function and/or the constraints. Should be synonymous with mixed-…
25 questions
For questions on optimization problems that seek solutions that are globally optimal (in contrast to locally optimal solutions).
25 questions
24 questions
For questions about solving Operations Research problems using the Julia programming language.
24 questions
Questions on algorithms that combine branch-and-bound search and the generation of cutting planes.
24 questions
Questions related to resources (e.g. data, results, code) that can be downloaded freely from the Internet.
24 questions
For questions relating to optimization problems in which the goal is to minimize the maximum value of some function (or maximize the minimize the value).
23 questions
23 questions
For questions specifically about existence (feasibility), counting feasible points (in a discrete setting), or partitioning the feasible region (e.g. in the context of branch-and-bound methods). Feasi…
23 questions
For questions about solving a problem faster by using an initial solution obtained from a related problem.
23 questions
For questions related to Markov decision processes (MDPs), which model decision making in time-varying and usually stochastic environments.
21 questions
For questions about standard test instances for evaluating the performance of Operations Research models or algorithms.
20 questions
For questions related to optimization problems that are obtained from other optimization problems by increasing the feasible region, typically by removing one or more constraints or changing their rig…
20 questions
For questions related to processes that change randomly over time. Examples include Markov processes, random walks, and renewal processes.
20 questions
SCIP is a source-open solver for (among others) MILPs, MINLPs, ... ask questions about usage, bugs, interfaces, behavior.
20 questions
For questions asking about approximation algorithms. Also includes approximation schemes, PTAS and FPTAS.
19 questions
For questions related to reinforcement learning, a type of machine learning algorithm in which a computerized agent learns through experimentation how to optimize its actions in an environment to maxi…
19 questions
For questions related to Lagrangian relaxation, a method used to generate bounds on optimization problems by removing one or more constraints and including a penalty in the objective function for viol…
19 questions
For questions on subsets of constraints of an infeasible mathematical program whose (strict) subsets are feasible.
18 questions
For questions related to the set covering problem. Having a set of elements, S, and a collection of sets whose union equals S, the set covering problem tries to identify the smallest sub-collection of…
18 questions
For questions about the dual Simplex method.
18 questions
For questions related to (algebraic) modeling languages such as AMPL and GAMS, which facilitate the process of translating an optimization model written in algebraic form to the matrices, vectors, and…
18 questions
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