Project

Efficient universal numerical multi-level solution methods for complex electromagnetic optimization and inverse problems

Code
01E03209
Duration
01 October 2009 → 30 September 2015
Funding
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Promotor
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
    • Classical physics
    • Optical physics
  • Social sciences
    • Biological and physiological psychology
    • Cognitive science and intelligent systems
    • Developmental psychology and ageing
  • Medical and health sciences
    • Neurosciences
    • Neurosciences
    • Neurosciences
  • Engineering and technology
    • Modelling
    • Multimedia processing
Keywords
optimization electromagnetism biomedical inverse problems surrogate-based optimization
 
Project description

Complex electromagnetic inverse problems are mostly time demanding and difficult to solve. The postdoctoral research aims at developing novel inverse methods, which are time efficient and accurate. In a next stage, these methods will lead to unified algorithms which have a universal character for soling complex optimization and inverse problems.