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BCAM people

Cristina Galán, PhD student at BCAM, participated in the new edition of ‘Peer Encounters’, organized by Bizilabe Bilbao

  • Alongside Cristina, 18 other professional women in science and technology spoke to 90 young people gathered at the Ensanche Building about the c

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

Latest publications

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Characterization of rankings generated by pseudo-Boolean functions

Unanue, I.; Merino, M.; Lozano, J.A. (2024-01-01)

In this paper we pursue the study of pseudo-Boolean functions as ranking generators. The objective of the work is to find new insights between the relation of the degree of a pseudo-Boolean function and the rankings that ...

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...