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)

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. Potential topics include but are not limited to the following:

  • Inverse Problems Algorithms 
  • Inverse Problems for Ordinary and Differential Equations
  • Inverse Problems using Nonsmooth Optimization
  • Inverse Problems using Multicriteria Optimization
  • Fractal-based Inverse Problems
  • Shape Optimization
  • Inverse Optimization
  • Inverse Problems in Image Analysis
  • Regularization Techniques

Important Dates:

Deadline for submissions: May 31, 2021
1st round of review – comments to authors:  August 30, 2021
Revision deadline: November 15, 2021
Submission of final version: December 30, 2021

Submission Procedure:
Please submit to the Optimization and Engineering (OPTE) journal at https://www.springer.com/mathematics/journal/11081 and select special issue “SI: Inverse problems 2020”. All submissions must be original and may not be under review by another publication. Interested authors should consult the journal’s “Instructions for Authors”, at https://www.springer.com/mathematics/journal/11081. All submitted papers will be reviewed on a peer review basis as soon as they are received. Accepted papers will become immediately available at Online First until the complete Special Issue appears.

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