Tags

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.

12 questions
For questions about standard test instances for evaluating the performance of Operations Research models or algorithms.
12 questions
For questions on a method that transforms a subset of the linear inequalities of a linear program into an equivalent representation by its extreme points and rays; this generally introduces a large nu…
12 questions
For questions relating to the relaxation of linear integer or mixed-integer-linear programming (MILP) problems where the integer constraints are removed.
12 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…
12 questions
11 questions
For questions related to OR-related software whose source code is freely available and may be modified by users.
11 questions
Questions on algorithms that combine branch-and-bound search and the generation of cutting planes.
11 questions
For questions that refer to optimization instances used for testing or benchmarking algorithms and software packages.
10 questions
For questions on optimization problems that seek solutions that are globally optimal (in contrast to locally optimal solutions).
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For questions on the mathematical modeling of processes with randomized outcomes.
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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…
10 questions
For questions related to Lagrange (or Lagrangian) multipliers, coefficients used to penalize violations of constraints that have been relaxed from an optimization problem.
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For questions related to processes that change randomly over time. Examples include Markov processes, random walks, and renewal processes.
10 questions
In parallel computing a computational task is typically broken down into many sub-tasks that can be processed independently and whose results are combined upon completion. It is also called multiproce…
9 questions
For questions related to Operations Research approaches for modeling, managing, or optimizing supply chains, systems designed to move goods from where they are produced to where they are consumed.
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For questions related to the (r,Q) inventory model, in which stochastic demands reduce the inventory level over time, and when the inventory position reaches the reorder point (r), an order is placed …
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For questions about the dual Simplex method.
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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…
9 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).
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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…
9 questions
CVXPY is a Python-embedded modeling language for convex optimization problems.
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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…
9 questions
For questions about solving Operations Research problems using the R programming language.
9 questions
Topics related to job search, be it academic or industrial. Anything from finding positions, writing applications, interviewing, to perspectives.
8 questions
For questions about the use of Simulated Annealing (SA) for solving combinatorial problems. SA is a probabilistic metaheuristic that can approximate the global optimum in a large (and usually discrete…
8 questions
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