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Mathematical Modelling and Analysis Volume 16, 2011 - Issue 2
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Articles

A Parallel Solver for the Design of Oil Filters

Vadimas Starikovičius Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223, Vilnius, LithuaniaCorrespondence[email protected]
,
Raimondas Čiegis Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223, Vilnius, Lithuania
&
Oleg Iliev Fraunhofer ITWM, Fraunhofer-Platz 1, D-67663, Kaiserslautern, Germany
Pages 326-341 | Received 10 Mar 2011, Published online: 24 Jun 2011

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Algirdas Lančinskas, Pilar Martínez Ortigosa & Julius Žilinskas. (2015) Parallel Optimization Algorithm for Competitive Facility Location. Mathematical Modelling and Analysis 20:5, pages 619-640.
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Zixiang Hu, Yun Zhang, Junjie Liang, Songxin Shi & Huamin Zhou. (2014) An efficient parallel algebraic multigrid method for 3D injection moulding simulation based on finite volume method. International Journal of Computational Fluid Dynamics 28:6-10, pages 316-328.
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Dulal Pal & Sewli Chatterjee. (2012) MHD Mixed Convection Stagnation-Point Flow of a Micropolar Fluid in a Porous Medium Towards a Heated Stretching Sheet with Thermal Radiation. Mathematical Modelling and Analysis 17:4, pages 498-518.
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Natalija Tumanova & Raimondas Čiegis. (2012) Predictor-Corrector Domain Decomposition Algorithm for Parabolic Problems on Graphs. Mathematical Modelling and Analysis 17:1, pages 113-127.
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Maximilian Emans, Zoran Žunič, Branislav Basara & Sergey Frolov. (2012) A Novel SIMPLE-Based Pressure-Enthalpy Coupling Scheme for Engine Flow Problems. Mathematical Modelling and Analysis 17:1, pages 1-20.
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Articles from other publishers (9)

Raimondas Čiegis, Vadimas Starikovičius, Natalija Tumanova & Minvydas Ragulskis. (2016) Application of distributed parallel computing for dynamic visual cryptography. The Journal of Supercomputing 72:11, pages 4204-4220.
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Andrej Bugajev. 2015. The Investigation of Efficiency of Physical Phenomena Modelling Using Differential Equations on Distributed Systems. The Investigation of Efficiency of Physical Phenomena Modelling Using Differential Equations on Distributed Systems.
Emmanuel Jeannot & Julius ŽilinskasNatalija Tumanova & Raimondas Čiegis. 2014. High‐Performance Computing on Complex Environments. High‐Performance Computing on Complex Environments 51 71 .
Raimondas Čiegis, Andrej Bugajev, Žilvinas Kancleris & Gediminas Šlekas. 2014. Parallel Processing and Applied Mathematics. Parallel Processing and Applied Mathematics 301 310 .
Natalija Tumanova, Raimondas Čiegis & Mečislavas Meilūnas. (2013) Numerical analysis of nonlinear model of excited carrier decay. Open Mathematics 11:6.
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Jukka I. Toivanen, Keijo Mattila, Jari Hyväluoma, Pekka Kekäläinen, Tuomas Puurtinen & Jussi Timonen. 2013. Applied Parallel and Scientific Computing. Applied Parallel and Scientific Computing 434 445 .
Raimondas Čiegis & Andrej Bugajev. 2013. Applied Parallel and Scientific Computing. Applied Parallel and Scientific Computing 387 397 .
Maximilian Emans. 2012. Parallel Processing and Applied Mathematics. Parallel Processing and Applied Mathematics 361 370 .
Raimondas Čiegis & Natalija Tumanova. 2012. Parallel Processing and Applied Mathematics. Parallel Processing and Applied Mathematics 333 342 .

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