Inverse Problems Journal

The Inverse Problems Journal is a scientific publication that focuses on research about inverse problems—these involve determining unknown causes or parameters from observed effects or data. For example, reconstructing an image from sensor readings or identifying the internal structure of an object from surface measurements. The journal provides a platform for mathematicians and scientists to share new methods, theories, and applications related to solving these challenging problems across various fields, including engineering, physics, and medical imaging. It advances understanding and techniques for extracting hidden information from observable data.