UC Applied Mathematics blends analysis, numerical methods, and data science to solve problems in engineering, finance, and biology.
Finite-element simulation of stress in 3-D-printed aerospace components
Neural-ODE model forecasting COVID-19 variant spread
GPU-accelerated solver for Navier-Stokes equations in coastal flooding
Monte-Carlo pricing of exotic derivatives under stochastic volatility
Policy brief translating math of risk pooling for climate insurance
Optimization of battery-charging schedules using linear programming
Mathematical art visualization of fractal geometry in VR
Bayesian inference on earthquake aftershock sequences
Graph-theory analysis of power-grid resilience to cascading failures
Machine-learning surrogate models for aerodynamic drag reduction
Data-driven R0 estimation for vector-borne diseases under climate change
Interactive Jupyter notebook teaching chaotic dynamical systems
Eigenvalue study of network controllability in social media graphs
Compressed-sensing reconstruction for medical MRI acceleration
Game-theory model of vaccine allocation among regions
Stochastic differential-equation model of stock-market microstructure
Workshop series on algorithmic fairness metrics and proofs
Crowdsourced citizen-science project modeling urban heat flow
VR demonstration of high-dimensional optimization landscapes
Textbook chapter draft on PDEs for environmental modeling
Model, compute, and innovate with UC’s Applied Mathematics powerhouse.
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