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F. Javier Martín-Campo's is a researcher with interests that include mixed integer linear and mixed integer nonlinear programming models, metaheuristics and applications. His blog is primarily about optimization modelling.

Blog topics include:

  • Beyond the optimum, keys to post-optimization. Post-optimization studies exactly how an optimal solution that has already been obtained is affected by cost changes, introduction of new products, more resources becoming available, or new constraints arising that did not exist when the model was originally solved.
  • The Simplex Algorithm, the engine of mathematical optimization. Since its introduction by George B. Dantzig in 1947, the Simplex Algorithm has been regarded as one of the most influential advances in scientific computing and strategic decision making. Its importance lies in its ability to solve linear optimization problems, efficiently finding the optimal value (maximum or minimum) of a function subject to multiple resource constraints.
  • The science behind decision-making in a complex world – operations research. This article describes the origin of Operation Research, which is a discipline for understanding a real-world problem, representing it through an abstract model, and using that model to make better decisions, i.e., Operations Research is the science of better decision-making.

Blog: Martín-Campo.