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Multilevel Algebraic Approach for Performance Analysis of Parallel Algorithms., , , и . Comput. Informatics, 38 (4): 817-850 (2019)Parallel framework for dynamic domain decomposition of data assimilation problems: a case study on Kalman Filter algorithm., и . Comput. Math. Methods, (ноября 2021)On the variational data assimilation problem solving and sensitivity analysis., , , , и . J. Comput. Phys., (2017)Toward a fully parallel multigrid in time algorithm in PETSc environment: A case study in ocean models., , и . HPCS, стр. 595-598. IEEE, (2015)The MedIGrid PSE in an LCG/gLite environment., , , , , и . ISPA, стр. 829-834. IEEE Computer Society, (2008)Validation of a PETSc based software implementing a 4DVAR Data Assimilation algorithm: a case study related with an Oceanic Model based on Shallow Water equation., , и . CoRR, (2018)On the problem-decomposition of scalable 4D-Var Data Assimilation models., , и . HPCS, стр. 589-594. IEEE, (2015)Mathematical Approach to the Performance Evaluation of Matrix Multiply Algorithm., , , и . PPAM (2), том 9574 из Lecture Notes in Computer Science, стр. 25-34. Springer, (2015)Ab-initio Functional Decomposition of Kalman Filter: A Feasibility Analysis on Constrained Least Squares Problems., , и . PPAM (2), том 12044 из Lecture Notes in Computer Science, стр. 75-92. Springer, (2019)Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE., , , , , и . Grid-Based Problem Solving Environments, том 239 из IFIP, стр. 421-432. Springer, (2006)