Abstract We consider the Variational Data Assimilation (VarDA) problem in an operational
framework, namely, as it results when it is employed for the analysis of temperature and …

We introduce a decomposition of the Tikhonov Regularization (TR) functional which split this
operator into several TR functionals, suitably modified in order to enforce the matching of …

We present a numerical algorithm for solving large scale Tikhonov Regularization problems.
The approach we consider introduces a splitting of the regularization functional which uses …

We present an innovative approach for solving Four Dimensional Variational Data
Assimilation (4D-VAR DA) problems. The approach we consider starts from a decomposition …

Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used
in scientific computations. Not only one of the kernels in numerical linear algebra, the …

We present an innovative approach for solving time dependent Four Dimensional
Variational Data Assimilation (4D VAR DA) problems. The proposed approach performs a …

One of the modern fields in mathematical modelling of water areas is developing hybrid
coastal ocean models based on domain decomposition. In coastal ocean modelling a …

Рассматривается обратная задача о восстановлении граничных функций на внешних
и внутренних жидких границах для модели гидродинамики открытой акватории …

Implementing a Parallel Version of a Variational Scheme in a Global Assimilation System at
Eddy-Resolving Resolution in: Journal of Atmospheric and Oceanic Technology Volume 37 …

In this work, we perform the feasibility analysis of a multi‐grained parallel version of the
Zielonka Recursive (ZR) algorithm exploiting the coarse‐and fine‐grained concurrency …