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Algebraic Geometry
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Project Management: The Basics for Success
Sustainable Tourism: Society & Environmental Aspects
Introducción a los encofrados y las cimbras en obra civil y edificación
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Explore the stochastic version of the box-ball system and its convergence to semi-martingale reflecting Brownian motion in this mathematical presentation on discrete-time dynamical systems.
Exploration of rotational invariance in planar random cluster models, discussing its applications and potential for new insights into critical models on Z^2.
Explore vertex model proof of q-Whittaker polynomials correspondence, examining lattice path partition functions and their connection to Imamura-Mucciconi-Sasamoto's match between q-Whittaker and periodic Schur measures.
Explore the scaling limit of colored ASEP using Yang-Baxter equation and Gibbs line ensemble techniques, revealing connections to the KPZ universality class and related probabilistic objects.
Richard Kenyon explores the higher-rank dimer model, discussing GL(n) local systems, Kasteleyn operators, and n-multiwebs. He presents scaling limit results for SL(3) and their conformal invariance in this advanced mathematics talk.
Explore the polynuclear growth model, its connection to KPZ universality, and a probabilistic approach to deriving its multipoint distributions, leading to insights in crystal growth and random matrices.
Exploring the geometry of meandric systems, focusing on a century-old question about loop crossings. Presents a conjecture on large-scale geometry and related rigorous results.
Explore tensor network applications in quantum computing, including optimized contraction schemes for NISQ experiments and a maximum-likelihood decoder for quantum error correction benchmarking.
Explore geometric aspects of tensor networks and invariants, focusing on their applications in mathematics and theoretical physics.
Explores discreteness in asymptotic tensor parameters, proving general theorems and new lower bounds for asymptotic subrank of tensors, with applications in algebraic complexity and quantum information.
Explore numerical analysis for Hamiltonian simulation and learning, covering accuracy measures, semiclassical Schrödinger equation, and efficient algorithms for learning interacting N-qubit local Hamiltonians.
Explore low-rank time integrators for PDEs, including explicit and implicit schemes, with applications to Vlasov, heat, Fokker-Planck, and advection-diffusion equations.
Explore arbitrary tensor network algorithms for complex systems modeling, covering theory, methods, and applications in probabilistic graphical models and quantum circuit simulations.
Exploring hybrid classical-quantum variational algorithms for complex systems, focusing on QAOA applications in NISQ era. Discusses implementations on classical emulators and Rydberg atom quantum machines.
Explore the unique energy spectrum of approximate matrix product ground states in DMRG, including variance sampling techniques and extrapolation methods for improved accuracy in quantum simulations.
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