Innovating Works

SUBMODULAR

Financiado
The Power of Randomness and Continuity in Submodular Optimization
Submodularity is a fundamental mathematical notion that captures the concept of diminishing returns, and is prevalent in many areas of science and technology. From pollution detection and gang violence reduction, to active influen... Submodularity is a fundamental mathematical notion that captures the concept of diminishing returns, and is prevalent in many areas of science and technology. From pollution detection and gang violence reduction, to active influence spreading in social networks (as recent controversial events suggest), submodular maximization directly affects multiple aspects of our daily lives. With a constantly growing number of real-world applications, it is no surprise that combinatorial maximization problems with a submodular objective have been the focus of intense theoretical and practical research for more than a decade. Unfortunately, many of the fundamental submodular maximization problems remain unresolved and lack fast and simple to implement algorithms that can be used in practice. A main reason for this state is that the current algorithmic toolkit used to solve submodular maximization problems is insufficient. This research proposal addresses the theoretical foundations of submodular maximization. Our overarching goal is to enrich the algorithmic toolkit and devise new algorithmic approaches that can be broadly applied to fundamental problems in submodular maximization and combinatorial optimization. A successful outcome of this research project will be a new theoretical algorithmic foundation for submodular maximization, that will enable us to completely resolve basic optimization problems and facilitate the design of fast and simple to implement algorithms that can be used in practice. The combination of the latter with ongoing practical research on the numerous uses of submodularity, could lead to a significant revolution in our ability to identify and solve the many real-world applications of submodular maximization. ver más
31/10/2025
1M€
Duración del proyecto: 72 meses Fecha Inicio: 2019-10-08
Fecha Fin: 2025-10-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2019-10-08
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ERC-2019-STG: ERC Starting Grant
Cerrada hace 6 años
Presupuesto El presupuesto total del proyecto asciende a 1M€
Líder del proyecto
TECHNION ISRAEL INSTITUTE OF TECHNOLOGY No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5