Special Issue on "Optimization Methods in Inverse Problems and Applications to Science and Engineering"
Guest Editors: H. Kunze (University of Guelph, Canada); D. La Torre (SKEMA Business School, France); and M. Ruiz-Galan (University of Granada, Spain)
Submission deadline: May 31, 2021
This special issue aims at bringing together articles that discuss recent advances of optimization methods and algorithms in inverse problems and application to science and engineering. A typical inverse problem seeks to find a mathematical model that admits given observational data as an approximate solution. This sort of question is of great interest in many application areas, including biomedical engineering and imaging, remote sensing and seismic imaging, astronomy, oceanography, atmospheric sciences and meteorology, chemical engineering and material sciences, computer vision and image processing, ecology, economics, environmental systems, physical systems. Very often an inverse problem appears in the form of a parameter estimation problem, it can be formulated as an optimization model, and then solved using different optimization algorithms and techniques. All papers included in this special issue will consider aspects of numerical analysis, mathematical modeling, and computational methods.