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How Things Work: An Introduction to Physics
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Applied mathematicians share their journeys to entrepreneurship, offering insights on career paths, challenges, and advice for aspiring math entrepreneurs in various industries.
Explore signal demixing using polar deconvolution, a novel approach for separating mixed signals with high efficiency and stability, presented by Michael Friedlander from UBC.
Explore fluctuation theory in the Boltzmann-Grad limit for hard-sphere gases, examining dynamical correlations and their implications for the kinetic Boltzmann equation and large deviation asymptotics.
Contract theory and mean field games applied to epidemic control: exploring models with one principal and multiple agents to inform regulatory decisions in continuous and discrete state spaces.
Explore a microstructural model explaining price impact concavity in financial markets, with insights on order flow, fundamental pricing, and meta-order execution dynamics.
Lightning Network channels: costs, optimization, and network structure implications. Explores conditions for channel establishment, cost formulas, and potential centralization in bitcoin payment networks.
Explore energy minimization in liquid crystals through probability density, tensor averages, and molecular orientation theories with Sir John Ball.
Explore multiphase models of living tissues, focusing on mechanical modeling for tissue repair and tumor growth. Discover mathematical analysis techniques and incompressible limit cases in this advanced PDE seminar.
Explore deep fictitious play in stochastic differential games and discrete dividend payments in continuous time with experts from UCSB and Boston University.
New framework for accelerated methods in convex programming using approximations of high-order proximal points. Presents second-order method with O(k^(-4)) convergence rate, surpassing traditional complexity limits.
Explore the intersection of deep learning and applied mathematics, focusing on advancements in signal processing, optimization, and self-supervised learning for predictive modeling.
Explora los fundamentos de los modelos matemáticos para enfermedades infecciosas, su construcción y aplicación en la toma de decisiones de salud pública durante la pandemia de COVID-19.
Explore sparsity, compressive sensing, and l1 optimization's impact on science, technology, and machine learning. Learn fast algorithms and applications in PDE, data collection, and image processing.
Explore advanced mathematical concepts in finance with talks on Stackelberg Mean Field Games and Ergodic Robust Maximization, presented by experts from leading institutions.
Explore the physics behind "tears of wine" phenomenon, examining undercompressive shocks in thin films and their role in the formation of wine tears using mathematical modeling and analysis.
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