About This Special Issue
An increasing interest in analyzing and modeling high-dimensional data, both static and dynamic, and handling very large data sets in multiple scientific domains has led to an increased flow of ideas between applied mathematics, statistics, and computation. A synergy is emerging among fields such as statistical modeling of high-dimensional data, parameter estimation, optimization, machine learning, dynamical systems, numerical methods, and computational mathematics. One aspect of the development is the rapid convergence of research interests between Statistics and Computer Science. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. Therefore, this special issue focuses on new orientations in Applied and Computational Mathematics. We invite researchers to submit original research articles on current state-of-the-art theories and techniques in this field.