Submodular Function Optimization and Algorithms Publication Trend The graph below shows the total number of publications each year in Submodular Function Optimization and Algorithms.

The functions listed below are some of the common functions and datasets used for testing optimization algorithms. They are grouped according to similarities in their significant physical properties ...

Nikolay Bliznyuk, David Ruppert, Christine Shoemaker, Rommel Regis, Stefan Wild, Pradeep Mugunthan, Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using ...

We present an implementable algorithm for solving constrained optmization problems defined by functions that are not everywhere differentiable. The method is based on combining, modifying and ...

The optimization of the functions of the Ministry of Agriculture and Rural Affairs (MOA), under China's State Council institutions reform plan, is an important step in improving capacity and ...

When I asked WAN optimization veterans to weigh in on what they think will be the biggest technology and industry trends to watch during the year ahead, the economy (not surprisingly) played a ...