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About the center, BCAM people

The Basque Center for Applied Mathematics attracts the talent of a researcher who has been awarded a scholarship from the ”la Caixa” Foundation to pursue postdoctoral studies

  • La Rioja native Miguel Aguilera receives support from the ”la Caixa” Foundation under the Junior Leader postdoctoral fellowship program, which has just awarded a total of 40 fellowships to out

BCAM people

Judit Muñoz Matute, Postdoctoral Fellow at BCAM, selected to join the European Mathematical Society Young Academy 2024-2027 Committee

  • EMYA provides a platform for the next generation of mathematicians to discuss and plan the future of European mathematics, organize acti

Women in Science

The scientists who inspired us (XI): Another brick in the wall

History is written through the hegemony of great names and great legends, for reasons which, a priori, seem unperturbable within a social structure in which a vast quantity of unavo

About the center, BCAM people

Nine new PhD students joined BCAM the last year

Basque Center for Applied Mathematics – BCAM has welcomed to the center a new group of PhD students for the course 2023-2024 and they have joined the rest students, who number 9 in total.

Latest publications

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Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems

Echevarrieta, J.; Arza, E.; Pérez, A. (2024-01-10)

Population-based evolutionary algorithms are often considered when approaching computationally expensive black-box optimization problems. They employ a selection mechanism to choose the best solutions from a given population...

Fast Computation of Cluster Validity Measures for Bregman Divergences and Benefits

Capó, M.; Pérez, A.; Lozano, J.A. (2023-01-01)

Partitional clustering is one of the most relevant unsupervised learning and pattern recognition techniques. Unfortunately, one of the main drawbacks of these methodologies refer to the fact that the number of clusters is ge...

Fast K-Medoids With the l_1-Norm

Capó, M.; Pérez, A.; Lozano, J.A. (2023-07-26)

K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of the...

Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees

Álvarez, V.; Mazuelas, S.; Lozano, J.A. (2023-12-01)

For a sequence of classification tasks that arrive over time, it is common that tasks are evolving in the sense that consecutive tasks often have a higher similarity. The incremental learning of a growing sequence of tasks...