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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Learn data analysis techniques using MATLAB and Excel, covering SI models, plotting, data importing, and problem-solving with real-world examples from mathematical modeling challenges.
Explore polynomial optimization complexity, local minima, stable sets, and sum of squares polynomials. Uncover connections between graph theory and algebra in this advanced mathematical presentation.
Learn essential MATLAB programming concepts for mathematical modeling, including variables, data types, loops, and functions. Practice with real-world problem-solving using the M3 Challenge 2019 submission analysis.
Explore stochastic games on large graphs, focusing on mean field and sparse regimes. Learn about linear-quadratic models, graph-based player interactions, and large-scale asymptotics in dense and sparse scenarios.
Comprehensive overview of mathematical modeling process, covering problem definition, assumptions, variables, solution building, analysis, and result reporting. Includes hands-on problem-solving sessions.
Explore genomic data analysis at scale, covering parallel algorithms, architectures, and programming models for efficient processing of large-scale genomic datasets on advanced computing systems.
Explore infinite-dimensional inverse problems with finite measurements, focusing on uniqueness, stability, and reconstruction. Learn about applied harmonic analysis, compressed sensing, and inverse problems in PDEs.
Exploring polynomial systems in biochemical reaction networks, focusing on computational techniques for analyzing families of polynomials with combinatorial structures derived from reaction digraphs.
Explore cutting-edge mathematical finance topics with expert speakers in this virtual talk series, covering policy gradient methods, sequential testing, and trading strategies.
Explore methods for image restoration and regression using $\ell_p$-$\ell_q$ minimization, covering problem formulation, solution techniques, and applications in this advanced mathematical seminar.
Explore homotopy continuation in numerical algebraic geometry and its applications in chemistry, mechanical engineering, and biological modeling. Learn about tracking solutions to parameterized nonlinear equations.
Exploring compressible fluid equations, entropy hierarchies, and flocking dynamics. Covers Navier-Stokes models, nonlocal collective dynamics, and mathematical proofs for fluid behavior and emergent organization.
Explore efficient numerical methods for solving phase-field models in pore-scale flows, focusing on bound-preserving solutions and applications in energy and environmental sciences.
Explore efficient optimization of wave transmission in cavities through boundary condition adjustments, using spectral analysis and layer potential methods for accurate eigenvalue calculations.
Explore solutal convection in porous media, challenging conventional theories with experimental findings and numerical simulations to understand flux patterns and mixing processes.
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