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You searched for subject:(Empirical interpolation). Showing records 1 – 12 of 12 total matches.

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Rice University

1. Hendryx, Emily. Subset Selection and Feature Identification in the Electrocardiogram.

Degree: PhD, Engineering, 2018, Rice University

 Each feature in the electrocardiogram (ECG) corresponds to a different part of the cardiac cycle. Tracking changes in these features over long periods of time… (more)

Subjects/Keywords: subset selection; electrocardiogram; discrete empirical interpolation method; feature identification

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APA (6th Edition):

Hendryx, E. (2018). Subset Selection and Feature Identification in the Electrocardiogram. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105686

Chicago Manual of Style (16th Edition):

Hendryx, Emily. “Subset Selection and Feature Identification in the Electrocardiogram.” 2018. Doctoral Dissertation, Rice University. Accessed October 20, 2019. http://hdl.handle.net/1911/105686.

MLA Handbook (7th Edition):

Hendryx, Emily. “Subset Selection and Feature Identification in the Electrocardiogram.” 2018. Web. 20 Oct 2019.

Vancouver:

Hendryx E. Subset Selection and Feature Identification in the Electrocardiogram. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1911/105686.

Council of Science Editors:

Hendryx E. Subset Selection and Feature Identification in the Electrocardiogram. [Doctoral Dissertation]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105686


Rice University

2. Chaturantabut, Saifon. Nonlinear model reduction via discrete empirical interpolation.

Degree: PhD, Engineering, 2012, Rice University

 This thesis proposes a model reduction technique for nonlinear dynamical systems based upon combining Proper Orthogonal Decomposition (POD) and a new method, called the Discrete… (more)

Subjects/Keywords: Applied sciences; Nonlinear model reduction; Empirical interpolation; Nonlinear differential equations; Proper orthogonal decomposition; Mechanics

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APA (6th Edition):

Chaturantabut, S. (2012). Nonlinear model reduction via discrete empirical interpolation. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/70218

Chicago Manual of Style (16th Edition):

Chaturantabut, Saifon. “Nonlinear model reduction via discrete empirical interpolation.” 2012. Doctoral Dissertation, Rice University. Accessed October 20, 2019. http://hdl.handle.net/1911/70218.

MLA Handbook (7th Edition):

Chaturantabut, Saifon. “Nonlinear model reduction via discrete empirical interpolation.” 2012. Web. 20 Oct 2019.

Vancouver:

Chaturantabut S. Nonlinear model reduction via discrete empirical interpolation. [Internet] [Doctoral dissertation]. Rice University; 2012. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1911/70218.

Council of Science Editors:

Chaturantabut S. Nonlinear model reduction via discrete empirical interpolation. [Doctoral Dissertation]. Rice University; 2012. Available from: http://hdl.handle.net/1911/70218

3. Sanchez, Mohamed, Riad. Application des techniques de bases réduites à la simulation des écoulements en milieux poreux : Application of reduced basis techniques to the simulation of flows in porous media.

Degree: Docteur es, Mathématiques et Informatique, 2017, Paris Saclay

En géosciences, les applications associées au calage de modèles d'écoulement nécessitent d'appeler plusieurs fois un simulateur au cours d'un processus d'optimisation. Or, une seule simulation… (more)

Subjects/Keywords: Écoulement diphasique; Milieux poreux; Bases réduites; Approximation certifiée; Estimateur d'erreur a posteriori; Interpolation empirique; Two-phase flow; Porous media; Reduced basis; Certified approximation; A posteriori error estimate; Empirical interpolation

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APA (6th Edition):

Sanchez, Mohamed, R. (2017). Application des techniques de bases réduites à la simulation des écoulements en milieux poreux : Application of reduced basis techniques to the simulation of flows in porous media. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2017SACLC079

Chicago Manual of Style (16th Edition):

Sanchez, Mohamed, Riad. “Application des techniques de bases réduites à la simulation des écoulements en milieux poreux : Application of reduced basis techniques to the simulation of flows in porous media.” 2017. Doctoral Dissertation, Paris Saclay. Accessed October 20, 2019. http://www.theses.fr/2017SACLC079.

MLA Handbook (7th Edition):

Sanchez, Mohamed, Riad. “Application des techniques de bases réduites à la simulation des écoulements en milieux poreux : Application of reduced basis techniques to the simulation of flows in porous media.” 2017. Web. 20 Oct 2019.

Vancouver:

Sanchez, Mohamed R. Application des techniques de bases réduites à la simulation des écoulements en milieux poreux : Application of reduced basis techniques to the simulation of flows in porous media. [Internet] [Doctoral dissertation]. Paris Saclay; 2017. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2017SACLC079.

Council of Science Editors:

Sanchez, Mohamed R. Application des techniques de bases réduites à la simulation des écoulements en milieux poreux : Application of reduced basis techniques to the simulation of flows in porous media. [Doctoral Dissertation]. Paris Saclay; 2017. Available from: http://www.theses.fr/2017SACLC079


EPFL

4. Iapichino, Laura. Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD.

Degree: 2012, EPFL

 The objective of this work is to develop a numerical framework to perform rapid and reliable simulations for solving parametric problems in domains represented by… (more)

Subjects/Keywords: reduced basis methods; empirical interpolation method; transfinite maps; reduced order modelling; geometrical parametrization; online/offline computational decoupling; domain decomposition; Stokes equations

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APA (6th Edition):

Iapichino, L. (2012). Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/181660

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Iapichino, Laura. “Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD.” 2012. Thesis, EPFL. Accessed October 20, 2019. http://infoscience.epfl.ch/record/181660.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Iapichino, Laura. “Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD.” 2012. Web. 20 Oct 2019.

Vancouver:

Iapichino L. Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD. [Internet] [Thesis]. EPFL; 2012. [cited 2019 Oct 20]. Available from: http://infoscience.epfl.ch/record/181660.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Iapichino L. Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD. [Thesis]. EPFL; 2012. Available from: http://infoscience.epfl.ch/record/181660

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Dedden, R.J. Model Order Reduction using the Discrete Empirical Interpolation Method:.

Degree: 2012, Delft University of Technology

 The invention of the computer opened new research fields in physics and engineering. One of the developments is the Finite Element Method (FEM). It has… (more)

Subjects/Keywords: order reduction; discrete; empirical; interpolation method

…4 Discrete Empirical Interpolation Method 4-1 The DEIM Algorithm… …Empirical Interpolation Method, but he had faced some difficulties that slowed down the progress… …3-3-2 Interpolation of Function Snapshots . 3-3-3 Drawbacks of MPE and IFS… …this thesis is to investigate the potential for the application of Discrete Empirical… …Interpolation Method (DEIM) to nonlinear structural mechanics. This mathematical algorithm… 

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APA (6th Edition):

Dedden, R. J. (2012). Model Order Reduction using the Discrete Empirical Interpolation Method:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6f1531d7-a956-4c70-b8af-149111a9243d

Chicago Manual of Style (16th Edition):

Dedden, R J. “Model Order Reduction using the Discrete Empirical Interpolation Method:.” 2012. Masters Thesis, Delft University of Technology. Accessed October 20, 2019. http://resolver.tudelft.nl/uuid:6f1531d7-a956-4c70-b8af-149111a9243d.

MLA Handbook (7th Edition):

Dedden, R J. “Model Order Reduction using the Discrete Empirical Interpolation Method:.” 2012. Web. 20 Oct 2019.

Vancouver:

Dedden RJ. Model Order Reduction using the Discrete Empirical Interpolation Method:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Oct 20]. Available from: http://resolver.tudelft.nl/uuid:6f1531d7-a956-4c70-b8af-149111a9243d.

Council of Science Editors:

Dedden RJ. Model Order Reduction using the Discrete Empirical Interpolation Method:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:6f1531d7-a956-4c70-b8af-149111a9243d


University of Edinburgh

6. Kamilis, Dimitrios. Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models.

Degree: PhD, 2018, University of Edinburgh

 Uncertainty Quantification (UQ) has been an active area of research in recent years with a wide range of applications in data and imaging sciences. In… (more)

Subjects/Keywords: uncertainty quantification; model reduction; computational electromagnetism; controlled-source electromagnetic method; reduced basis method; empirical interpolation method; sparse quadrature; Bayesian inverse problems; low-frequency Maxwell equation

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APA (6th Edition):

Kamilis, D. (2018). Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31415

Chicago Manual of Style (16th Edition):

Kamilis, Dimitrios. “Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed October 20, 2019. http://hdl.handle.net/1842/31415.

MLA Handbook (7th Edition):

Kamilis, Dimitrios. “Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models.” 2018. Web. 20 Oct 2019.

Vancouver:

Kamilis D. Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1842/31415.

Council of Science Editors:

Kamilis D. Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31415

7. Urquhart, Erin A. Remote Sensing and Modeling of Vibrio Bacteria in the Chesapeake Bay.

Degree: 2014, Johns Hopkins University

 Estuaries and coastal waters are dynamic environments, subject to mixing processes that produce high temporal and spatial variability in water properties relevant to water quality… (more)

Subjects/Keywords: Vibrio bacteria; Chesapeake Bay, Geospatial Interpolation, Remote Sensing, Salinity, Empirical Modeling

…best fit each possible variogram shape ..72 2.2. Validation of interpolation… …two EOF modes.. …...…..72 2.4. Validation of interpolation and model performance… …complete estimates of salinity and temperature in the Bay, I tested geospatial interpolation… …the middle and lower Bay. The major drawback of all in situ empirical prediction models is… …techniques including satellite remote sensing and geospatial interpolation of surface water… 

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APA (6th Edition):

Urquhart, E. A. (2014). Remote Sensing and Modeling of Vibrio Bacteria in the Chesapeake Bay. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37939

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Urquhart, Erin A. “Remote Sensing and Modeling of Vibrio Bacteria in the Chesapeake Bay.” 2014. Thesis, Johns Hopkins University. Accessed October 20, 2019. http://jhir.library.jhu.edu/handle/1774.2/37939.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Urquhart, Erin A. “Remote Sensing and Modeling of Vibrio Bacteria in the Chesapeake Bay.” 2014. Web. 20 Oct 2019.

Vancouver:

Urquhart EA. Remote Sensing and Modeling of Vibrio Bacteria in the Chesapeake Bay. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2019 Oct 20]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37939.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Urquhart EA. Remote Sensing and Modeling of Vibrio Bacteria in the Chesapeake Bay. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/37939

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

8. Alotibi, Manal Thawab A. Global-Local Nonlinear Model Reduction for Flows in Heterogeneous Porous Media.

Degree: PhD, Mathematics, 2016, Texas A&M University

 Many problems in engineering and science are represented by nonlinear partial differential equations (PDEs) with high contrast parameters and multiple scales. Solving these equations involves… (more)

Subjects/Keywords: generalized multiscale finite element method; mixed generalized multiscale finite element method; nonlinear Forchheimer Equation; heterogeneous porous media; discrete empirical interpolation; proper orthogonal decomposition; global-local model reduction; online enrichment; global adaptive.

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APA (6th Edition):

Alotibi, M. T. A. (2016). Global-Local Nonlinear Model Reduction for Flows in Heterogeneous Porous Media. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158604

Chicago Manual of Style (16th Edition):

Alotibi, Manal Thawab A. “Global-Local Nonlinear Model Reduction for Flows in Heterogeneous Porous Media.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2019. http://hdl.handle.net/1969.1/158604.

MLA Handbook (7th Edition):

Alotibi, Manal Thawab A. “Global-Local Nonlinear Model Reduction for Flows in Heterogeneous Porous Media.” 2016. Web. 20 Oct 2019.

Vancouver:

Alotibi MTA. Global-Local Nonlinear Model Reduction for Flows in Heterogeneous Porous Media. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1969.1/158604.

Council of Science Editors:

Alotibi MTA. Global-Local Nonlinear Model Reduction for Flows in Heterogeneous Porous Media. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158604

9. Wahl, Jean-Baptiste. The Reduced basis method applied to aerothermal simulations : La méthode des bases réduites appliquées à des simulations d'aérothermie.

Degree: Docteur es, Mathématiques appliquées, 2018, Université de Strasbourg

Nous présentons dans cette thèse nos travaux sur la réduction d'ordre appliquée à des simulations d'aérothermie. Nous considérons le couplage entre les équations de Navier-Stokes… (more)

Subjects/Keywords: Simulation fluide; Méthode des bases réduites; Méthode de réduction d'ordre; Méthode d'interpolation empirique; Calcul parallèle; Méthode des éléments finis; Model order reduction; Computational fluid dynamic; Reduced basis method; Empirical Interpolation method; Finit element method; HPC computing; 536.23; 620

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APA (6th Edition):

Wahl, J. (2018). The Reduced basis method applied to aerothermal simulations : La méthode des bases réduites appliquées à des simulations d'aérothermie. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2018STRAD024

Chicago Manual of Style (16th Edition):

Wahl, Jean-Baptiste. “The Reduced basis method applied to aerothermal simulations : La méthode des bases réduites appliquées à des simulations d'aérothermie.” 2018. Doctoral Dissertation, Université de Strasbourg. Accessed October 20, 2019. http://www.theses.fr/2018STRAD024.

MLA Handbook (7th Edition):

Wahl, Jean-Baptiste. “The Reduced basis method applied to aerothermal simulations : La méthode des bases réduites appliquées à des simulations d'aérothermie.” 2018. Web. 20 Oct 2019.

Vancouver:

Wahl J. The Reduced basis method applied to aerothermal simulations : La méthode des bases réduites appliquées à des simulations d'aérothermie. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2018. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2018STRAD024.

Council of Science Editors:

Wahl J. The Reduced basis method applied to aerothermal simulations : La méthode des bases réduites appliquées à des simulations d'aérothermie. [Doctoral Dissertation]. Université de Strasbourg; 2018. Available from: http://www.theses.fr/2018STRAD024

10. Baumann, M.M. Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation:.

Degree: 2013, Delft University of Technology

 The model-order reduction techniques Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM) have been applied for the optimal control of Burgers' equation. Accuracy… (more)

Subjects/Keywords: model-order reduction; nonlinear dynamical systems; Burgers' equation; proper orthogonal decomposition; discrete empirical interpolation method; optimal control

…Discrete Empirical Interpolation Method (DEIM). We end the chapter with an application… …Discrete Empirical Interpolation Method (DEIM) In the previous sections, we used the… …x29;c(t), 9 2.2. THE DISCRETE EMPIRICAL INTERPOLATION METHOD (DEIM)… …models is lower, the complexity of the nonlinear terms remains the same. The Discrete Empirical… …Interpolation Method (DEIM) proposed by [10, 12] in 2010 is an extension of POD… 

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APA (6th Edition):

Baumann, M. M. (2013). Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:242e3440-535a-4143-8036-5af5495d60bd

Chicago Manual of Style (16th Edition):

Baumann, M M. “Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation:.” 2013. Masters Thesis, Delft University of Technology. Accessed October 20, 2019. http://resolver.tudelft.nl/uuid:242e3440-535a-4143-8036-5af5495d60bd.

MLA Handbook (7th Edition):

Baumann, M M. “Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation:.” 2013. Web. 20 Oct 2019.

Vancouver:

Baumann MM. Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2019 Oct 20]. Available from: http://resolver.tudelft.nl/uuid:242e3440-535a-4143-8036-5af5495d60bd.

Council of Science Editors:

Baumann MM. Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:242e3440-535a-4143-8036-5af5495d60bd

11. Lee, Mario A. An approach for efficient, conceptual-level aerospace structural design using the static condensation reduced basis element method.

Degree: PhD, Aerospace Engineering, 2018, Georgia Tech

 In order to improve the energy efficiency and environmental compliance of future aircraft, the aviation industry has sought to investigate the inclusion of a variety… (more)

Subjects/Keywords: SCRBE; Static condensation reduced basis element method; Optimization; Matrix discrete empirical interpolation; mDEIM; Surrogate modeling; Composite; Conceptual level

…resources available. This technique leverages the matrix Discrete Empirical Interpolation Method… …Static Condensation Procedure . 110 5.4.1 5.5 Empirical Modes For Edge Spaces… …114 5.5.1 5.6 5.7 Empirical Mode Training - Research Question 1 (RQ1) . . . 113… …Empirical Mode Training - Hypothesis 1 (HYP1) . . . . . . . 123 Computational… …Enablers: ROM Interpolation and Hyper-reduction . . . . . . . 142 6.4 Overview Of The MDEIM… 

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APA (6th Edition):

Lee, M. A. (2018). An approach for efficient, conceptual-level aerospace structural design using the static condensation reduced basis element method. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60771

Chicago Manual of Style (16th Edition):

Lee, Mario A. “An approach for efficient, conceptual-level aerospace structural design using the static condensation reduced basis element method.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 20, 2019. http://hdl.handle.net/1853/60771.

MLA Handbook (7th Edition):

Lee, Mario A. “An approach for efficient, conceptual-level aerospace structural design using the static condensation reduced basis element method.” 2018. Web. 20 Oct 2019.

Vancouver:

Lee MA. An approach for efficient, conceptual-level aerospace structural design using the static condensation reduced basis element method. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1853/60771.

Council of Science Editors:

Lee MA. An approach for efficient, conceptual-level aerospace structural design using the static condensation reduced basis element method. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60771

12. Laurent, Philippe. Méthodes d'accéleration pour la résolution numérique en électrolocation et en chimie quantique : Acceleration methods for numerical solving in electrolocation and quantum chemistry.

Degree: Docteur es, Automatique, productique, 2015, Nantes, Ecole des Mines

Cette thèse aborde deux thématiques différentes. On s’intéresse d’abord au développement et à l’analyse de méthodes pour le sens électrique appliqué à la robotique. On… (more)

Subjects/Keywords: Électrolocation; Méthode des réflexions; Équations intégrales de frontière; Éléments de frontière (BEM); Inversion géométrique; Méthode des bases réduites; Méthode de décomposition orthogonale propre (POD); Méthode d’interpolation empirique (EIM); Chimie quantique; Problème inverse; Méthode de continuation; Electrolocation; Reflections method; Boundary integral equations; Boundary element methods (BEM); Geometric inversion; Reduced basis methods; Proper orthogonal decomposition (POD); Empirical interpolation method (EIM); Quantum chemistry; Inverse problem; Continuation method

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APA (6th Edition):

Laurent, P. (2015). Méthodes d'accéleration pour la résolution numérique en électrolocation et en chimie quantique : Acceleration methods for numerical solving in electrolocation and quantum chemistry. (Doctoral Dissertation). Nantes, Ecole des Mines. Retrieved from http://www.theses.fr/2015EMNA0122

Chicago Manual of Style (16th Edition):

Laurent, Philippe. “Méthodes d'accéleration pour la résolution numérique en électrolocation et en chimie quantique : Acceleration methods for numerical solving in electrolocation and quantum chemistry.” 2015. Doctoral Dissertation, Nantes, Ecole des Mines. Accessed October 20, 2019. http://www.theses.fr/2015EMNA0122.

MLA Handbook (7th Edition):

Laurent, Philippe. “Méthodes d'accéleration pour la résolution numérique en électrolocation et en chimie quantique : Acceleration methods for numerical solving in electrolocation and quantum chemistry.” 2015. Web. 20 Oct 2019.

Vancouver:

Laurent P. Méthodes d'accéleration pour la résolution numérique en électrolocation et en chimie quantique : Acceleration methods for numerical solving in electrolocation and quantum chemistry. [Internet] [Doctoral dissertation]. Nantes, Ecole des Mines; 2015. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2015EMNA0122.

Council of Science Editors:

Laurent P. Méthodes d'accéleration pour la résolution numérique en électrolocation et en chimie quantique : Acceleration methods for numerical solving in electrolocation and quantum chemistry. [Doctoral Dissertation]. Nantes, Ecole des Mines; 2015. Available from: http://www.theses.fr/2015EMNA0122

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