
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 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 solutal convection in porous media, challenging conventional theories with experimental findings and numerical simulations to understand flux patterns and mixing processes.

Explores recent advances in rational approximation theory for numerical computation, focusing on "AAA" and "lightning" algorithms for solving PDEs in complex domains with singularities.

Explore machine learning's decision-making aspects, focusing on statistical and economic challenges in multiple decision-making, scarcity, and competition through dynamical systems perspectives.

Explore reduced models for porous media flow, focusing on simple models, interfaces, and intersection fractions with practical examples and applications.

Explore multi-scale approaches to global ocean climate modeling, focusing on mimetic methods, Voronoi tessellations, and simulations of ocean systems like the North Atlantic.

Explore advanced techniques for simulating fractured reservoirs, including dual-porosity models, unstructured grids, and probabilistic approaches to enhance flow prediction and reservoir management.

Explore seismic inverse problems, wave propagation, and modern exploration methods. Learn about FWI, wave bath tomography, and extended Born operators for improved subsurface imaging.

Explore optimization models for efficient healthcare resource management and network coordination, featuring insights from MIT's Retsef Levi on industry challenges and opportunities.

Explore mathematical framework for analyzing and controlling hybrid systems with continuous and impulsive dynamics. Learn tools for stability, invariance, and applications in genetics and power systems.

Explore efficient matrix factorization techniques for differential and integral operators, focusing on interpolative decomposition and its applications in various dimensions and problem types.

Explore biomimicry in engineering through examples of snails, clams, and microorganisms. Learn how mathematical analysis of natural systems leads to innovative robotic designs and optimization techniques.

Explore multiplex PCR and metagenomic sequencing for detecting pathogens in periprosthetic joint infections, comparing their effectiveness to traditional culture methods.

Debunks common microbiology misconceptions, covering topics from household cleaning to personal hygiene and health beliefs. Provides scientific explanations to dispel widespread myths about germs, infections, and everyday practices.

Explore the mathematics behind pinhole cameras, from historical context to modern applications in reconstruction and invariant theory, with insights into projective geometry and cubic surfaces.

Explore sharp inequalities in probability and harmonic analysis, covering motivations, history, proofs, and applications in stochastic integrals and numerical approximations.