Inverse Problems Issues Research Articles in July 2023 Edition
July 26, 2023
July 26, 2023
BRISTOL, England, July 26 -- Inverse Problems, a peer-reviewed journal that says it features inverse problems with numerical and practical approaches to their solution, published research articles on the following topics in its July 2023 edition:
Papers:
* On a numerical construction of doubly stochastic matrices with prescribed eigenvalues
* Qualitative inverse problems: mapping data to the features of trajectories and parameter values of an ODE model
Papers:
* On a numerical construction of doubly stochastic matrices with prescribed eigenvalues
* Qualitative inverse problems: mapping data to the features of trajectories and parameter values of an ODE model