Esteve C., Zuazua E.. Differentiability with respect to the initial condition for Hamilton-Jacobi equations (2021) Abstract. We prove that the viscosity solution to a Hamilton-Jacobi…
View More Differentiability with respect to the initial condition for Hamilton-Jacobi equationsAuthor: Darlis Bracho Tudares
Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua
On November 3-5, 2021 there will be a Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua on his 60th. Birthday.…
View More Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua
A mathematical model for civil wars: a new Lotka-Volterra competitive system
On October 27th, our Postdoctoral Researcher Elisa Affili will talk on “A mathematical model for civil wars: a new Lotka-Volterra competitive system” a webinar organized…
View More A mathematical model for civil wars: a new Lotka-Volterra competitive system
Postdoc at ERC DyCon project -Open position
Position: Postdoc (Ref. GA 694126) The European Research project DyCon: Dynamic Control led by Prof. Dr. Enrique Zuazua, is looking for a candidate to fill a…
View More Postdoc at ERC DyCon project -Open position
ERC DyCon project: PhD -Open position
Position: PhD (Ref. GA 694126) The European Research project DyCon: Dynamic Control led by Prof. Dr. Enrique Zuazua, is looking for a candidate to fill a…
View More ERC DyCon project: PhD -Open positionInterpolation and approximation via Momentum ResNets and Neural ODEs
Domènec Ruiz-Balet, Elisa Affili , Enrique Zuazua. Interpolation and approximation via Momentum ResNets and Neural ODEs (2021) Abstract. In this article, we explore the effects…
View More Interpolation and approximation via Momentum ResNets and Neural ODEsControl of certain parabolic models from biology and social sciences
Domènec Ruiz-Balet, , Enrique Zuazua. Control of certain parabolic models from biology and social sciences (2021) Abstract. These lecture notes address the controllability under state…
View More Control of certain parabolic models from biology and social sciencesControl and Numerical approximation of Fractional Diffusion Equations
Umberto Biccari, Mahamadi Warma, Enrique Zuazua. Control and Numerical approximation of Fractional Diffusion Equations (2021) Handb. Numer. Anal. Abstract. The aim of this work is to…
View More Control and Numerical approximation of Fractional Diffusion Equations
A Fisher-KPP model with a fast diffusion line in periodic media by E. Affili
This month, our Postdoctoral Researcher Elisa Affili will present the poster “A Fisher-KPP model with a fast diffusion line in periodic media” at the “Non-Local…
View More A Fisher-KPP model with a fast diffusion line in periodic media by E. AffiliSidewise control of 1-d waves
Yesim Sarac, Enrique Zuazua. Sidewise control of 1-d waves. (2021) Abstract. We analyze the sidewise controllability for the variable coefficients one-dimensional wave equation. The control…
View More Sidewise control of 1-d wavesA framework for randomized time-splitting in linear-quadratic optimal control
Daniël Veldman, Enrique Zuazua. A framework for randomized time-splitting in linear-quadratic optimal control (2021) Abstract. Inspired by the successes of stochastic algorithms in the training of…
View More A framework for randomized time-splitting in linear-quadratic optimal controlThe Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing Term
Shi Jin, Yuhua Zhu, Enrique Zuazua. The Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing Term (2021) Numer Math (Heidelb) Abstract. We consider the Vlasov-Fokker-Planck equation…
View More The Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing TermAveraged dynamics and control for heat equations with random diffusion
Bárcena J.A., Zuazua E.. Averaged dynamics and control for heat equations with random diffusion (2021) Syst. Control. Lett. Abstract. This paper deals with the averaged…
View More Averaged dynamics and control for heat equations with random diffusionFlow decomposition for heat equations with memory
G. Wang, Y. Zhang, E. Zuazua. Flow decomposition for heat equations with memory (2021) J. Math. Pures Appl. Abstract. We build up a decomposition for…
View More Flow decomposition for heat equations with memorySpecial issue in the honor of Enrique Zuazua’s 60th birthday
G. Buttazzo, E. Casas, L. de Teresa, R. Glowinski, G. Leugering, E. Trélat and X. Zhang (eds.). Special issue in the honor of Enrique Zuazua’s 60th…
View More Special issue in the honor of Enrique Zuazua’s 60th birthday
CIRM-FBK 2021: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
On Friday September 24, our Head Enrique Zuazua will talk on “Inverse design for conservation laws and Hamilton-Jacobi equations” at the CIRM-FBK event 2021 on…
View More CIRM-FBK 2021: Inverse design for conservation laws and Hamilton-Jacobi equations by E. ZuazuaMultilevel control by duality
Umberto Biccari, Enrique Zuazua. Multilevel control by duality (2021) Abstract. We discuss the multilevel control problem for linear dynamical systems, consisting in designing a piece-wise constant…
View More Multilevel control by duality
FBP2021 | Inverse design for Conservation laws and Hamilton-Jacobi equations by E. Zuazua
On Friday September 17, our Head Enrique Zuazua will give a plenary talk on “Inverse design for Conservation laws and Hamilton-Jacobi equations” on the FBP…
View More FBP2021 | Inverse design for Conservation laws and Hamilton-Jacobi equations by E. ZuazuaModel predictive control with random batch methods for a guiding problem
Ko Dongnam, Zuazua Enrique. Model predictive control with random batch methods for a guiding problem (2021). Math. Models Methods Appl. Sci., Vol. 31, No. 8,…
View More Model predictive control with random batch methods for a guiding problem
SHU Course: Principles of AI for Control and Optimization
From this month, September 07th. to November 11th., the Shanghai University (China) is hosting the short course on “Principles of AI for Control and Optimization”…
View More SHU Course: Principles of AI for Control and OptimizationClassical system theory revisited for Turnpike in standard state space systems and impulse controllable descriptor systems
Heiland J., Zuazua E. Classical system theory revisited for Turnpike in standard state space systems and impulse controllable descriptor systems (2021) SIAM J. Control Optim. Abstract.…
View More Classical system theory revisited for Turnpike in standard state space systems and impulse controllable descriptor systemsSlow decay and Turnpike for Infinite-horizon Hyperbolic LQ problems
Zhong-Jie Han, E. Zuazua, Slow decay and Turnpike for Infinite-horizon Hyperbolic LQ problems (2021) Abstract: This paper is devoted to analysing the explicit slow decay…
View More Slow decay and Turnpike for Infinite-horizon Hyperbolic LQ problemsOptimal actuator design via Brunovsky’s normal form
B. Geshkovski, E. Zuazua, Optimal actuator design via Brunovsky’s normal form (2021) Abstract: In this paper, by using the Brunovsky normal form, we provide a…
View More Optimal actuator design via Brunovsky’s normal form
Course on Spherical Geometry by Elisa Affili
This summer, on August 30-31, 2021 our Postdoctoral Researcher Elisa Affili gave a course on “Spherical Geometry” at the 3rd edition of the Summer STEM…
View More Course on Spherical Geometry by Elisa Affili
Summer course (China): Control, Machine Learning and Numerics by E. Zuazua
On July 09th. to July 26th., our Head Enrique Zuazua gave a course on “Control, Machine Learning and Numerics” organized by Tianyuan Mathematical Center in…
View More Summer course (China): Control, Machine Learning and Numerics by E. ZuazuaOptimal control for neural ODE in a long time horizon and applications to the classification and simultaneous controllability problems
Jon Asier Bárcena-Petisco. Optimal control for neural ODE in a long time horizon and applications to the classification (2021) Abstract. We study the optimal control…
View More Optimal control for neural ODE in a long time horizon and applications to the classification and simultaneous controllability problems
33rd. CBM – Brazilian Colloquium of Mathematics
Next month, on August 5th., our Postdoctoral Researcher Elisa Affili will talk on “A mathematical model for civil wars: a new Lotka-Volterra competitive system” at…
View More 33rd. CBM – Brazilian Colloquium of MathematicsThe turnpike property in nonlinear optimal control – A geometric approach
N. Sakamoto, E. Zuazua. The turnpike property in nonlinear optimal control – A geometric approach. (2021) Automatica. Abstract: This paper presents, using dynamical system theory,…
View More The turnpike property in nonlinear optimal control – A geometric approachInitial data identification for the one-dimensional Burgers equation
Thibault Liard, Enrique Zuazua. Initial data identification for the one-dimensional Burgers equation. (2021). IEEE T Automat. Contr. DOI: 10.1109/TAC.2021.3096921 Abstract. In this paper, we study…
View More Initial data identification for the one-dimensional Burgers equation
ERC researchers encounter at UAM
Last month, on June 25th our Head Enrique Zuazua, talked about at the special event organized by Prof. José Luis Pau from the Department of…
View More ERC researchers encounter at UAM
Summer short course (China): Control, Machine Learning and Numerics by E. Zuazua
This month, on July 09th. to July 26th., our Head Enrique Zuazua will give a course on “Summer short course (China): Control, Machine Learning and…
View More Summer short course (China): Control, Machine Learning and Numerics by E. Zuazua
Control of reaction-diffusion equation with state constraints -INdAM Workshop
Next Wednesday on July 7th., our team member Domènec Ruiz-Balet from UAM will talk about “Control of reaction-diffusion equation with state constraints” at the INdAM…
View More Control of reaction-diffusion equation with state constraints -INdAM WorkshopA quantitative analysis of Koopman operator methods for system identification and predictions
Christophe Zhang, Enrique Zuazua. A quantitative analysis of Koopman operator methods for system identification and predictions (2021) Abstract. We give convergence and cost estimates for…
View More A quantitative analysis of Koopman operator methods for system identification and predictionsOptimal control of linear non-local parabolic problems with an integral kernel
Umberto Biccari, Víctor Hernández-Santamaría, Loic Louison, Abdennebi Omrane. Optimal control of linear non-local parabolic problems with an integral kernel. (2021) Abstract. We consider a linear non-local…
View More Optimal control of linear non-local parabolic problems with an integral kernelBlow-up results for a logarithmic pseudo-parabolic p(.)-Laplacian type equation
Abita Rahmoune, Umberto Biccari. Blow-up results for a logarithmic pseudo-parabolic -Laplacian equation. (2021) Abstract. In this paper, we consider an initial-boundary value problem for the following…
View More Blow-up results for a logarithmic pseudo-parabolic p(.)-Laplacian type equation
Multilevel Selective Harmonic Modulation via Optimal Control -INdAM workshop
This month on July 2nd., our team member Umberto Biccari will talk about “Multilevel Selective Harmonic Modulation via Optimal Control” at the INdAM Workshop on…
View More Multilevel Selective Harmonic Modulation via Optimal Control -INdAM workshop
Jon Asier Bárcena-Petisco: Premio de Investigación Matemática Vicent Caselles 2021
Spain. 29.06.2021. The Chair of Computational Mathematics at University of Deusto is glad to announce our Postdoctoral Researcher Jon Asier Bárcena-Petisco has been awarded “Premio…
View More Jon Asier Bárcena-Petisco: Premio de Investigación Matemática Vicent Caselles 2021
ERC DyCon Postdoctoral open position 2021-2022
This call is CLOSED! The Chair of Computational Mathematics at Fundación Deusto in Bilbao, Basque Country – Spain, led by Prof. Dr. Enrique Zuazua, is…
View More ERC DyCon Postdoctoral open position 2021-2022
INdNAM workshop: “Analysis and Numerics of Design, Control and Inverse Problems”
The next INdNAM workshop: “Analysis and Numerics of Design, Control and Inverse Problems” organized by the Scientific Committee by Giuseppe Floridia (Università Mediterranea di Reggio Calabria) in Rome, Italy and Enrique Zuazua…
View More INdNAM workshop: “Analysis and Numerics of Design, Control and Inverse Problems”
OCA’21 Online CIMPA School
On June 28th. to July 3rd., our Head Enrique Zuazua will talk on “Control, Numerics and Machine Learning” at the Online CIMPA School (OCA’21): Optimal…
View More OCA’21 Online CIMPA School
Borjan Geshkovski -PhD Thesis defense: “Control in Moving Interfaces and Deep Learning”
Last month, on May 14th, our team member Borjan Geshkovski at CCM – Chair of Computational Mathematics, Deusto Foundation – University of Deusto, defended his…
View More Borjan Geshkovski -PhD Thesis defense: “Control in Moving Interfaces and Deep Learning”Local null controllability of the penalized Boussinesq system with a reduced number of controls
J.A. Bárcena-Petisco, Kevin Le Balc’H. Local null controllability of the penalized Boussinesq system with a reduced number of controls (2021) Abstract. In this paper we consider…
View More Local null controllability of the penalized Boussinesq system with a reduced number of controls
Enrique Zuazua: TOP TALENT de la CIENCIA
Date: Wed. May 26, 2021 Organized by: Deia – Noticias de Bizkaia (Basque Country Media) Title: Deia Top Talent Sariak 2021 – Enrique Zuazua: TOP…
View More Enrique Zuazua: TOP TALENT de la CIENCIA
Networks, Waves and Control
On Wednesday June 9, our Head Enrique Zuazua will talk about “Networks, Waves and Control”, an Analysis Seminar of the Department “R. Caccioppoli” at Università…
View More Networks, Waves and ControlControl of Hyperbolic and Parabolic Equations on Networks and Singular limits
J.A. Bárcena-Petisco, M. Cavalcante, G.M. Coclite, N. de Nitti, Enrique Zuazua. Control of Hyperbolic and Parabolic Equations on Networks and Singular limits (2021) Abstract. We study…
View More Control of Hyperbolic and Parabolic Equations on Networks and Singular limits
StudOn AG Neural Differential Equations, Control and Machine Learning
On May 11th, our Head Enrique Zuazua talked about “Neural Differential Equations, Control and Machine Learning” at StudOn AG “Mathematics and Deep Learning”. Abstract. We…
View More StudOn AG Neural Differential Equations, Control and Machine LearningThe turnpike property and the long-time behavior of the Hamilton-Jacobi-Bellman equation
C. Esteve, H. Kouhkouh, D. Pighin, E. Zuazua. The turnpike property and the long-time behavior of the Hamilton-Jacobi-Bellman equation Abstract: In this work, we analyze the…
View More The turnpike property and the long-time behavior of the Hamilton-Jacobi-Bellman equationThe turnpike property in semilinear control
D. Pighin The turnpike property in semilinear control ESAIM Control Optim. Calc. Var (2021) Abstract.An exponential turnpike property for a semilinear control problem is proved.…
View More The turnpike property in semilinear controlNonuniqueness of minimizers for semilinear optimal control problems
D. Pighin. Nonuniqueness of minimizers for semilinear optimal control problems. J Eur. Math. Soc. (2021) Abstract. A counterexample to uniqueness of global minimizers of semilinear…
View More Nonuniqueness of minimizers for semilinear optimal control problems
Neural Differential Equations, Control and Machine Learning
Next Monday April 26, our Head Enrique Zuazua will be talking about “Neural Differential Equations, Control and Machine Learning” on the webinar by DSAD –…
View More Neural Differential Equations, Control and Machine Learning
CCM double-seminar: Research Topics: control questions in Lotka-Volterra and cross-diffusion models and Generative modelling and normalizing flows
On April 19th, our team members at CCMDeusto, Elisa Affili Postdoctoral Researcher and Pierre Mordant with an Internship from Ecole Polytechnique, will be talking in…
View More CCM double-seminar: Research Topics: control questions in Lotka-Volterra and cross-diffusion models and Generative modelling and normalizing flowsConstrained control of gene-flow models
Mazari I., Ruiz-Balet D., Zuazua E.. Constrained control of gene-flow models. (2021) ⟨hal-02373668⟩ Abstract. In ecology and population dynamics, gene-flow refers to the transfer of…
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Chaire Jean-Morlet 2021: Dynamics and Control of a guiding Model by E. Zuazua
On March 22nd, our Head Enrique Zuazua gave a talk about “Dynamics and Control of a guiding Model” at Kinetic Equations: from Modeling, Computation to…
View More Chaire Jean-Morlet 2021: Dynamics and Control of a guiding Model by E. Zuazua
DyCon blog: Multilevel Selective Harmonic Modulation via Optimal Control
Spain. 12.04.2021. Our team members Deyviss Jesús Oroya-Villalta, Carlos Esteve-Yagüe and Umberto Biccari, made a contribution to the DyCon Blog about “Multilevel Selective Harmonic Modulation via Optimal…
View More DyCon blog: Multilevel Selective Harmonic Modulation via Optimal ControlNeural ODE Control for Classification, Approximation and Transport
Ruiz-Balet D., Zuazua E. Neural ODE Control for Classification, Approximation and Transport (2021) Abstract. We analyze Neural Ordinary Differential Equations (NODEs) from a control theoretical…
View More Neural ODE Control for Classification, Approximation and Transport
Jornada de Primavera en EDPs
Next Friday April 9, our postdoctoral researchers Carlos Esteve Yagüe and Jon Asier Bárcena Petisco will be talking at the “Jornada de Primavera en EDPs”…
View More Jornada de Primavera en EDPsThe Finite-Time Turnpike Phenomenon for Optimal Control Problems: Stabilization by Non-smooth Tracking Terms
M. Gugat, M. Schuster, E. Zuazua. The Finite-Time Turnpike Phenomenon for Optimal Control Problems: Stabilization by Non-Smooth Tracking Terms, in “Stabilization of Distributed Parameter Systems:…
View More The Finite-Time Turnpike Phenomenon for Optimal Control Problems: Stabilization by Non-smooth Tracking TermsLarge-time asymptotics in deep learning
Esteve C., Geshkovski B., Pighin D., Zuazua E. Large-time asymptotics in deep learning (2021). hal-02912516 Abstract. It is by now well-known that practical deep supervised learning…
View More Large-time asymptotics in deep learningMultiplicity of solutions for fractional q(.)-Laplacian equations
Abita Rahmoune, Umberto Biccari. Multiplicity of solutions for fractional -Laplacian equations. (2021) Abstract. In this paper, we deal with the following elliptic type problem where is…
View More Multiplicity of solutions for fractional q(.)-Laplacian equationsMultilevel Selective Harmonic Modulation via Optimal Control
Deyviss Jesús Oroya-Villalta, Carlos Esteve-Yagüe Umberto Biccari. Multilevel Selective Harmonic Modulation via Optimal Control. (2021) Abstract. We consider the Selective Harmonic Modulation (SHM) problem, consisting in…
View More Multilevel Selective Harmonic Modulation via Optimal Control
Cafés Scientifique de la Culture: Engagez-moi, je suis mathématicien, by E. Zuazua
On Thursday March 25, our Head Enrique Zuazua gave the talk “Hire me, I’m a Mathematician”” at Cafés Scientifique de la Culture an online event organized…
View More Cafés Scientifique de la Culture: Engagez-moi, je suis mathématicien, by E. ZuazuaLocal null controllability of a model system for strong interaction between internal solitary waves
Jon Asier Bárcena-Petisco, Sergio Guerrero and Ademir F. Pazoto. Local null controllability of a model system for strong interaction between internal solitary waves. Commun. Contemp.…
View More Local null controllability of a model system for strong interaction between internal solitary waves
DyCon blog: Points of Interest Extraction and Prediction of Next Locations
Spain. 10.03.2021. Aicha Karite recent member from our team, made a contribution to the DyCon Blog about “Points of Interest Extraction and Prediction of Next…
View More DyCon blog: Points of Interest Extraction and Prediction of Next LocationsControl and Deep Learning: Some connections
B. Geshkovski, E. Zuazua. Control and Deep Learning: Some connections (2021) This note is an extended abstract for a talk given by the second author…
View More Control and Deep Learning: Some connectionsSparse approximation in learning via neural ODEs
Esteve C., Geshkovski B. Sparse approximation in learning via neural ODEs (2021) Abstract. We consider the continuous-time, neural ordinary differential equation (neural ODE) perspective of deep…
View More Sparse approximation in learning via neural ODEs
Open World PDE Seminar: Inverse design for conservation laws and Hamilton–Jacobi equations
Last Tuesday February 2nd, our Head Enrique Zuazua talked at One World PDE event about: Inverse design for conservation laws and Hamilton–Jacobi equations Abstract. We…
View More Open World PDE Seminar: Inverse design for conservation laws and Hamilton–Jacobi equations
Coloquio MTM UFSC: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
Next Friday March 5th, our Head Enrique Zuazua will talk about “Inverse design for conservation laws and Hamilton-Jacobi equations”, a lecture on the Colloquium organized…
View More Coloquio MTM UFSC: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
Research at service of Society
Last year the pandemic has been crucial on our lives. From University of Deusto, we can proudly say all our people, specially research staff have…
View More Research at service of SocietyNonnegative control of finite-dimensional linear systems
Lohéac J., Trélat E., Zuazua E. Nonnegative control of finite-dimensional linear systems. Ann. I. H. Poincare-An., Vol. 38, No. 2, pp. 301-346. (2021) DOI: https://doi.org/10.1016/j.anihpc.2020.07.004…
View More Nonnegative control of finite-dimensional linear systemsReachable subspaces, control regions and heat equations with memory
G. Wang, Y. Zhang, E. Zuazua. Reachable subspaces, control regions and heat equations with memory. (2021) Abstract. We study the controlled heat equations with analytic…
View More Reachable subspaces, control regions and heat equations with memory
ERC DyCon Postdoctoral position
The Chair of Computational Mathematics of Fundación Deusto in Bilbao, Basque Country – Spain, led by Prof. Dr. Enrique Zuazua, is looking for candidates to…
View More ERC DyCon Postdoctoral position
CCM – How we did it on 2020!
Spain. 31.12. 2020. In a very challenging year, the Chair of Computational Mathematics of Fundación Deusto at University of Deusto (Bilbao, Basque Country – Spain)…
View More CCM – How we did it on 2020!Analysis and numerics solvability of backward-forward conservation laws
Thibault Liard, Enrique Zuazua. Analysis and numerics solvability of backward-forward conservation laws. (2020) Abstract. In this paper, we study the problem of initial data identification…
View More Analysis and numerics solvability of backward-forward conservation laws
Turnpike Control and Deep Learning by Enrique Zuazua
Worldwide. On December 10th. our Head Enrique Zuazua talked about “Turnpike control and deep learning”, a seminar organized by the MOX Politecnico di Milano. The…
View More Turnpike Control and Deep Learning by Enrique Zuazua
The interplay of Deep Learning and Control Theory by Borjan Geshkovski
On December 09th our team member Borjan Geshkovski PhD student at DyCon ERC Project from UAM, will give a talk at “AG Mathematics of Deep…
View More The interplay of Deep Learning and Control Theory by Borjan Geshkovski
DyCon blog: Averaged dynamics and control for heat equations with random diffusion
Spain. 04.12.2020. Our team member Jon Asier Bárcena Petisco and our Head Enrique Zuazua made a contribution to the DyCon Blog about “Averaged dynamics and…
View More DyCon blog: Averaged dynamics and control for heat equations with random diffusion
Inverse design for conservation Laws and Hamilton-Jacobi equations
Next saturday December 05th. our Head Enrique Zuazua will be talking about Inverse design for conservation Laws and Hamilton-Jacobi equations organized by the School of…
View More Inverse design for conservation Laws and Hamilton-Jacobi equations
3rd BYMAT Session by Jon Asier Bárcena Petisco
Today December 3rd our Postdoctoral member Jon Asier Bárcena Petisco talked about “Some recent results about the controllability of the heat equation“ at the event…
View More 3rd BYMAT Session by Jon Asier Bárcena Petisco
PhD and Postdoc positions in Applied Mathematics at FAU
The Chair in Applied Analysis – Alexander von Humboldt Professorship led by Enrique Zuazua at FAU Erlangen-Nürnberg is looking for outstanding candidates to fill several…
View More PhD and Postdoc positions in Applied Mathematics at FAU
HKSIAM Seminar by E. Zuazua: Turnpike control and deep learning
Worldwide. This wednesday November 25th. our Head Enrique Zuazua will be talking about “Turnpike control and deep learning” in the Applied Mathematics Seminars for HKSIAM…
View More HKSIAM Seminar by E. Zuazua: Turnpike control and deep learningTurnpike in Lipschitz-nonlinear optimal control
Esteve C., Geshkovski G., Pighin D., Zuazua E. . Turnpike in Lipschitz-nonlinear optimal control (2020) Abstract. We present a new proof of the turnpike property…
View More Turnpike in Lipschitz-nonlinear optimal controlThe Inverse Problem for Hamilton-Jacobi equations and Semiconcave Envelopes
Esteve C., Zuazua E.. The Inverse Problem for Hamilton-Jacobi equations and Semiconcave Envelopes SIAM J. Math. Anal., Vol. 52, No. 6, pp. 5627–5657 (2020). https://doi.org/10.1137/20M1330130…
View More The Inverse Problem for Hamilton-Jacobi equations and Semiconcave Envelopes
The Fields Institute 2nd Symposium on Machine Learning and Dynamical Systems
Worldwide. 12.11.2020. The Fields Institute for Research in Mathematical Sciences (Toronto, Canada) organized the 2nd Symposium on Machine Learning and Dynamical Systems, a virtual event…
View More The Fields Institute 2nd Symposium on Machine Learning and Dynamical Systems
Averaged dynamics and control for heat equations with random diffusion by Jon Asier Bárcena Petisco
Yesterday November 10th, our Postdoctoral researcher Jon Asier Bárcena Petisco gave a talk in the “Control in Times of Crisis” Seminar about: “Averaged dynamics and…
View More Averaged dynamics and control for heat equations with random diffusion by Jon Asier Bárcena Petisco
Hire me! I’m a Mathematician – by Enrique Zuazua
This Friday November 6th our Head Enrique Zuazua will be giving the workshop “Hire me, I’m a Mathematician“ at the “XX Semana de la Ciencia”…
View More Hire me! I’m a Mathematician – by Enrique Zuazua
DyCon blog: Q-learning for finite-dimensional problems
Spain. 29.10.2020. Our team member Carlos Esteve made a contribution to the DyCon Blog about “Q-learning for finite-dimensional problems“: Reinforcement Learning (RL) is, together with…
View More DyCon blog: Q-learning for finite-dimensional problems
Reaction-diffusion in Social and Biological Sciences: Dynamics and ResNet Control by Enrique Zuazua
Yesterday November 3rd our Head Enrique Zuazua (FAU-AvH, Germany | Deusto Fundation, Bilbao | UAM, Madrid) gave a talk at the DynamIC Seminar – MA…
View More Reaction-diffusion in Social and Biological Sciences: Dynamics and ResNet Control by Enrique Zuazua
XX Semana de la Ciencia
On November 3, 4, 6, 10 and 12 the Department of Mathematics of the UAM – Universidad Autónoma de Madrid organized the “XX Semana de…
View More XX Semana de la Ciencia
Large-time asymptotics in Deep Learning by Borjan Geshkovski
Last Friday October 23rd our team member Borjan Geshkovski PhD student at DyCon ERC Project from UAM, gave a talk at “Seminario de estadística” organized…
View More Large-time asymptotics in Deep Learning by Borjan Geshkovski
PhD for Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks at TRR 154
Open position for a doctoral candidate at FAU Erlangen-Nürnberg to work on the dynamics, control and of partial differential equations motivated by gas network dynamics.…
View More PhD for Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks at TRR 154
CCM Seminar: Averaged dynamics and control for heat equations with random diffusion
Spain. 23.10.2020. Last Tuesday on October 20th, 2020, our team member Jon Asier Bárcena Petisco Postdoctoral researcher from UAM will be talking about “Averaged dynamics…
View More CCM Seminar: Averaged dynamics and control for heat equations with random diffusionControl under constraints for multi-dimensional reaction-diffusion monostable and bistable equations
Ruiz-Balet D., Zuazua E.. Control under constraints for multi-dimensional reaction-diffusion monostable and bistable equations. J. Math. Pures Appl, vol. 143, pp. 345-375 (2020) https://doi.org/10.1016/j.matpur.2020.08.006 Abstract.…
View More Control under constraints for multi-dimensional reaction-diffusion monostable and bistable equations
Optimal Control and Design of Structures and Fluids by Enrique Zuazua
Worldwide. 02.10.2020. Yesterday October 1st. our Head Enrique Zuazua presented “Control y Diseño Óptimo de Estructuras y Fluidos” (Optimal Control and Design of Structures and…
View More Optimal Control and Design of Structures and Fluids by Enrique Zuazua
Enrique Zuazua – Seminar on PDE and Applied Mathematics, Brazil
Worldwide. 29.09.2020. Last Wednesday September 23rd. the UFF – Fluminense Federal University (Universidade Federal Fluminense) and the UFRJ – University of Brazil (Federal University of…
View More Enrique Zuazua – Seminar on PDE and Applied Mathematics, Brazil
Turnpike Control and Deep Learning by Enrique Zuazua at IITK
Worldwide. 08.09.2020. Yesterday, our Head Enrique Zuazua gave a talk about “Turnpike Control and Deep Learning” hosted by IITK – Indian Institute of Technology, Kampur…
View More Turnpike Control and Deep Learning by Enrique Zuazua at IITK
An Introduction to Reinforcement Learning and Optimal Control Theory
Organized by CCM – Chair of Computational Mathematics Speaker: Carlos Esteve Yague, Postdoctoral Researcher at CCM From September 8th. to October 1st, 2020 Sessions: 4,…
View More An Introduction to Reinforcement Learning and Optimal Control Theory
Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems
Worldwide. 01.09.2020. The Fields Institute for Research in Mathematical Sciences at the University of Toronto, Canada organized the Second Simposium on Machine Learning and Dynamical…
View More Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems
CMAI Colloquium Fall 2020 – 1st session by Enrique Zuazua
Worldwide. 28.08.2020. Last friday August 28th, 2020 our Head Enrique Zuazua gave the first lecture of the Center for Mathematics and Artificial Intelligence (CMAI) Colloquium…
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Tips for a good SyG interview
Worldwide. 29.07.2020. Last Tuesday July 21st, 2020, Enrique Zuazua Head of CCM – Chair of Computational Mathematics gave a talk about: “Tips for a good…
View More Tips for a good SyG interviewThe turnpike with lack of observability
Pighin D., Sakamoto N. The turnpike with lack of observability (2020) Abstract: We obtain turnpike results for optimal control problems with lack of stabilizability in the…
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