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# Documents  65M06 | enregistrements trouvés : 42

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## Inhomogeneities and temperature effects in Bose-Einstein condensates de Bouard, Anne | CIRM H

Post-edited

Research talks;Partial Differential Equations;Probability and Statistics

We will review in this talk some mathematical results concerning stochastic models used by physicist to describe BEC in the presence of fluctuations (that may arise from inhomogeneities in the confinement parameters), or BEC at finite temperature. The results describe the effect of those fluctuations on the structures - e.g. vortices - which are present in the deterministic model, or the convergence to equilibrium in the models at finite temperature. We will also describe the numerical methods which have been developed for those models in the framework of the ANR project Becasim. These are joint works with Reika Fukuizumi, Arnaud Debussche, and Romain Poncet. We will review in this talk some mathematical results concerning stochastic models used by physicist to describe BEC in the presence of fluctuations (that may arise from inhomogeneities in the confinement parameters), or BEC at finite temperature. The results describe the effect of those fluctuations on the structures - e.g. vortices - which are present in the deterministic model, or the convergence to equilibrium in the models at finite ...

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## Numerical methods for mean field games - Lecture 2: Monotone finite difference schemes Achdou, Yves | CIRM H

Post-edited

Research schools;Computer Science;Control Theory and Optimization;Partial Differential Equations

Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number $n$ of agents tends to infinity. The field is now rapidly growing in several directions, including stochastic optimal control, analysis of PDEs, calculus of variations, numerical analysis and computing, and the potential applications to economics and social sciences are numerous.
In the limit when $n \to +\infty$, a given agent feels the presence of the others through the statistical distribution of the states. Assuming that the perturbations of a single agent's strategy does not influence the statistical states distribution, the latter acts as a parameter in the control problem to be solved by each agent. When the dynamics of the agents are independent stochastic processes, MFGs naturally lead to a coupled system of two partial differential equations (PDEs for short), a forward Fokker-Planck equation and a backward Hamilton-Jacobi-Bellman equation.
The latter system of PDEs has closed form solutions in very few cases only. Therefore, numerical simulation are crucial in order to address applications. The present mini-course will be devoted to numerical methods that can be used to approximate the systems of PDEs.
The numerical schemes that will be presented rely basically on monotone approximations of the Hamiltonian and on a suitable weak formulation of the Fokker-Planck equation.
These schemes have several important features:

- The discrete problem has the same structure as the continous one, so existence, energy estimates, and possibly uniqueness can be obtained with the same kind of arguments

- Monotonicity guarantees the stability of the scheme: it is robust in the deterministic limit

- convergence to classical or weak solutions can be proved

Finally, there are particular cases named variational MFGS in which the system of PDEs can be seen as the optimality conditions of some optimal control problem driven by a PDE. In such cases, augmented Lagrangian methods can be used for solving the discrete nonlinear system. The mini-course will be orgamized as follows

1. Introduction to the system of PDEs and its interpretation. Uniqueness of classical solutions.

2. Monotone finite difference schemes

3. Examples of applications

4. Variational MFG and related algorithms for solving the discrete system of nonlinear equations
Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number $n$ of agents tends to infinity. The field is now rapidly growing in several directions, including stochastic optimal control, analysis of PDEs, calculus of variations, numerical analysis and ...

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## Computer algebra in scientific computing casc'99Proceedings of the second workshop on computer algebra in scientific computing, munich, may 31-june 4, 1999 Ganzha Victor G. ; Mayr, Ernst W. ; Vorozhtsov Evgenii V. | Springer-Verlag 1999

Congrès

ISBN 978-3-540-66047-7

Localisation : Disparu

algèbre commutatif # algèbre de calcul # analyse numérique # calcul symbolique # corps # informatique théorique # intelligence artificielle # méthode de différence finie # polynomes # représentation de groupes # stabilité de Lyaponov # système expert # théorie de stabilité # équations différentielles avancées

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## Finite-difference methods theory and applications CFDM98. Vol. 1proceedings of the 2nd international conference on ... | National Academy of Sciences of Belarus 1998

Congrès

ISBN 978-985-6499-04-6

Localisation : Colloque 1er étage (BELA)

EDP # analyse numérique # modèle mathématique # méthode de différence finie # physique mathématique # problème aux limites de type multi-dimensionnel # problème de stabilité des méthodes numériques # problème à la frontière

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## Finite-difference methods theory and applications cfdm98. vol. 2Proceedings of the 2nd international conference on ... | National Academy of Sciences of Belarus 1998

Congrès

ISBN 978-985-6499-05-3

Localisation : Colloque 1er étage (BELA)

EDP # analyse numérique # modèle mathématique # méthode de différence finie # physique mathématique # problème aux limites de type multi-dimensionnel # problème de stabilité des méthodes numériques # problème à la frontière

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## Finite-difference methods theory and applications cfdm98. vol. 3Proceedings of the 2nd international conference on ... | National Academy of Sciences of Belarus 1998

Congrès

ISBN 978-985-6499-06-0

Localisation : Colloque 1er étage (BELA)

EDP # analyse numérique # modèle mathématique # méthode de différence finie # physique mathématique # problème aux limites de type multi-dimensionnel # problème de stabilité des méthodes numériques # problème à la frontière

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## Hyperbolic systems of balance laws :lectures given at the C.I.M.E. summer school held in Cetraro#July 14-21 Bressan, Alberto ; Serre, Denis ; Williams, Mark ; Zumbrun, Kevin ; Marcati, Pierangelo | Springer 2007

Congrès

- 346 p.
ISBN 978-3-540-72186-4

Lecture notes in mathematics , 1911

Localisation : Collection 1er étage

EDP # lois de conservation hyperboliques # viscosité de disparition # onde # profils discrets de choc # choc visqueux # linéarisation # fonction de Evans # déterminants de Lopatinski

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## Hyperbolic problems :theory, numerics, applicationsproceedings of the XIth international conference on...#July, 17-21 Benzoni-Gavage, Sylvie ; Serre, Denis | Springer-Verlag 2008

Congrès

- 1123 p.
ISBN 978-3-540-75711-5

Localisation : Colloque 1er étage (LYON)

EDP # mécanique des fluides # équations hyperboliques # lois de conservation # singularités # EDP pour la relativité # généralisation de maillage # méthode numérique

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## Discontinuous Galerkin solver design on hybrid computers Helluy, Philippe | CIRM H

Multi angle

Research talks;Mathematical Physics

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## Numerical methods for mean field games - Lecture 1: Introduction to the system of PDEs and its interpretation. Uniqueness of classical solutions Achdou, Yves | CIRM H

Multi angle

Research schools;Computer Science;Control Theory and Optimization;Partial Differential Equations

Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number $n$ of agents tends to infinity. The field is now rapidly growing in several directions, including stochastic optimal control, analysis of PDEs, calculus of variations, numerical analysis and computing, and the potential applications to economics and social sciences are numerous.
In the limit when $n \to +\infty$, a given agent feels the presence of the others through the statistical distribution of the states. Assuming that the perturbations of a single agent's strategy does not influence the statistical states distribution, the latter acts as a parameter in the control problem to be solved by each agent. When the dynamics of the agents are independent stochastic processes, MFGs naturally lead to a coupled system of two partial differential equations (PDEs for short), a forward Fokker-Planck equation and a backward Hamilton-Jacobi-Bellman equation.
The latter system of PDEs has closed form solutions in very few cases only. Therefore, numerical simulation are crucial in order to address applications. The present mini-course will be devoted to numerical methods that can be used to approximate the systems of PDEs.
The numerical schemes that will be presented rely basically on monotone approximations of the Hamiltonian and on a suitable weak formulation of the Fokker-Planck equation.
These schemes have several important features:

- The discrete problem has the same structure as the continous one, so existence, energy estimates, and possibly uniqueness can be obtained with the same kind of arguments

- Monotonicity guarantees the stability of the scheme: it is robust in the deterministic limit

- convergence to classical or weak solutions can be proved

Finally, there are particular cases named variational MFGS in which the system of PDEs can be seen as the optimality conditions of some optimal control problem driven by a PDE. In such cases, augmented Lagrangian methods can be used for solving the discrete nonlinear system. The mini-course will be orgamized as follows

1. Introduction to the system of PDEs and its interpretation. Uniqueness of classical solutions.

2. Monotone finite difference schemes

3. Examples of applications

4. Variational MFG and related algorithms for solving the discrete system of nonlinear equations
Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number $n$ of agents tends to infinity. The field is now rapidly growing in several directions, including stochastic optimal control, analysis of PDEs, calculus of variations, numerical analysis and ...

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## Numerical methods for mean field games - Lecture 3: Variational MFG and related algorithms for solving the discrete system of nonlinear equations Achdou, Yves | CIRM H

Multi angle

Research schools;Computer Science;Control Theory and Optimization;Partial Differential Equations

Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number $n$ of agents tends to infinity. The field is now rapidly growing in several directions, including stochastic optimal control, analysis of PDEs, calculus of variations, numerical analysis and computing, and the potential applications to economics and social sciences are numerous.
In the limit when $n \to +\infty$, a given agent feels the presence of the others through the statistical distribution of the states. Assuming that the perturbations of a single agent's strategy does not influence the statistical states distribution, the latter acts as a parameter in the control problem to be solved by each agent. When the dynamics of the agents are independent stochastic processes, MFGs naturally lead to a coupled system of two partial differential equations (PDEs for short), a forward Fokker-Planck equation and a backward Hamilton-Jacobi-Bellman equation.
The latter system of PDEs has closed form solutions in very few cases only. Therefore, numerical simulation are crucial in order to address applications. The present mini-course will be devoted to numerical methods that can be used to approximate the systems of PDEs.
The numerical schemes that will be presented rely basically on monotone approximations of the Hamiltonian and on a suitable weak formulation of the Fokker-Planck equation.
These schemes have several important features:

- The discrete problem has the same structure as the continous one, so existence, energy estimates, and possibly uniqueness can be obtained with the same kind of arguments

- Monotonicity guarantees the stability of the scheme: it is robust in the deterministic limit

- convergence to classical or weak solutions can be proved

Finally, there are particular cases named variational MFGS in which the system of PDEs can be seen as the optimality conditions of some optimal control problem driven by a PDE. In such cases, augmented Lagrangian methods can be used for solving the discrete nonlinear system. The mini-course will be orgamized as follows

1. Introduction to the system of PDEs and its interpretation. Uniqueness of classical solutions.

2. Monotone finite difference schemes

3. Examples of applications

4. Variational MFG and related algorithms for solving the discrete system of nonlinear equations
Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number $n$ of agents tends to infinity. The field is now rapidly growing in several directions, including stochastic optimal control, analysis of PDEs, calculus of variations, numerical analysis and ...

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## Mean field type control with congestion Laurière, Mathieu | CIRM H

Multi angle

Research talks;Control Theory and Optimization;Partial Differential Equations

The theory of mean field type control (or control of MacKean-Vlasov) aims at describing the behaviour of a large number of agents using a common feedback control and interacting through some mean field term. The solution to this type of control problem can be seen as a collaborative optimum. We will present the system of partial differential equations (PDE) arising in this setting: a forward Fokker-Planck equation and a backward Hamilton-Jacobi-Bellman equation. They describe respectively the evolution of the distribution of the agents' states and the evolution of the value function. Since it comes from a control problem, this PDE system differs in general from the one arising in mean field games.
Recently, this kind of model has been applied to crowd dynamics. More precisely, in this talk we will be interested in modeling congestion effects: the agents move but try to avoid very crowded regions. One way to take into account such effects is to let the cost of displacement increase in the regions where the density of agents is large. The cost may depend on the density in a non-local or in a local way. We will present one class of models for each case and study the associated PDE systems. The first one has classical solutions whereas the second one has weak solutions. Numerical results based on the Newton algorithm and the Augmented Lagrangian method will be presented.
This is joint work with Yves Achdou.
The theory of mean field type control (or control of MacKean-Vlasov) aims at describing the behaviour of a large number of agents using a common feedback control and interacting through some mean field term. The solution to this type of control problem can be seen as a collaborative optimum. We will present the system of partial differential equations (PDE) arising in this setting: a forward Fokker-Planck equation and a backward Hamilto...

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## Diffusion redistanciation schemes, Willmore problem and red blood cells Maitre, Emmanuel | CIRM H

Multi angle

Research talks

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## Numerical methods for the three-dimensional shallow water equations on supercomputers Goede, de E. D. | Stichting Mathematisch Centrum 1993

Ouvrage

- 124 p.
ISBN 978-90-6196-417-9

CWI tract , 0088

Localisation : Collection 1er étage

méthode des différences finies # méthode des lignes # stabilité et convergence des méthodes numériques # superordinateur # équation des hauts fonds

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## Numerical methods for scientists and enginees Hamming, R. W. | McGraw-Hill Book Company 1962

Ouvrage

- 411 p.

International series in pure and applied mathematics

Localisation : Ouvrage RdC (HAMM)

algorithme # approximation de Fourier # approximation exponentielle # approximation polynômiale # bruit d'arrondi # calcul aux différences finies discrètes # calcul de sommation # intégrale de Fourier # méthode numérique # scientifique et ingénieur # singularité # série de Fourier finie # équation aux différences finies # évolution de séries infinies

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## Numerical methods for two-point boundary-value problems Keller, Herbert B. | Blaisdell publishing Co. 1968

Ouvrage

- 184 p.

A Blaisdell book in numerical analysis and computer science

Localisation : Ouvrage RdC (KELL)

analyse numérique # méthode des différences finies # problème aux limites # valeur propre # équation intégrale

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## Geometry, analysis and mechanics Rassias, John M. | World Scientific 1994

Ouvrage

- 376 p.
ISBN 978-981-02-0757-1

Localisation : Ouvrage RdC (Geom)

Archimède # algorithme # analyse # calcul de l'inverse de matrice # caractérisation des fonctions # complexité des problèmes continus # discrétisation des phénomènes # entier négatif # flux de surface libre # formule d'Euler # groupe d'homotopie # géométrie # mécanique # plan euclidien # polyèdre # problème bien posé # rhéologie # schéma aux différences finies # simplex à n dimension # théorie de l'homotopie # théorème des deux carrés # volume commun de cylindres # équation différentielle # équation fonctionnelle # équation intégrale stochastique quantique # équation non linéaire de diffusion multi- dimentionnelle Archimède # algorithme # analyse # calcul de l'inverse de matrice # caractérisation des fonctions # complexité des problèmes continus # discrétisation des phénomènes # entier négatif # flux de surface libre # formule d'Euler # groupe d'homotopie # géométrie # mécanique # plan euclidien # polyèdre # problème bien posé # rhéologie # schéma aux différences finies # simplex à n dimension # théorie de l'homotopie # théorème des deux carrés # volume ...

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## Konvergenz von differenzenverfahren für lineare und nichtlineare anfangswerteufgaben Ansorge, R. ; Hass, R. | Springer-Verlag 1970

Ouvrage

Lecture notes in mathematics , 0159

Localisation : Disparu

L-stabilité # approximation aux différences # convergence de méthode aux différences # espace de Banach # méthode aux différences finies # méthode de variable discrète # méthode des itérations # problème aux valeurs initiales linéaires ou non linéaires se # stabilité et convergence de méthode numérique # équation hyperbolique parabolique

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## Numerical solution of differential equations:introduction to finite difference and finite element methods Li, Zhilin ; Qiao, Zhonghua ; Tang, Tao | Cambridge University Press 2018

Ouvrage

- ix; 293 p.
ISBN 978-1-316-61510-2

Localisation : Ouvrage RdC (LI)

analyse numérique # équation différentielle # méthode des différences finies # méthode des éléments finis # Matlab

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## Approximate methods and numerical analysis for elliptic complex equations Wen, Guo-Chun | Gordon and Breach Sciences Publishers 1999

Ouvrage

- 235 p.
ISBN 978-90-5699-135-7

Asian mathematics series , 0002

Localisation : Ouvrage RdC (WEN)

analyse numérique # méthode aux différences finies # méthode d'approximation # méthode d'intégrale # méthode d'élément fini # méthode numérique # problème aux frontières # problème aux valeurs limites # équation elliptique complexe

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