Articles tagged with Stochastic Programming
The SAGEST Predictive Simulation Center will develop simulation tools to give scientists confidence in exploring extreme physical conditions. The center, led by UVA's Xinfeng Gao, will use high-fidelity and low-fidelity solvers to balance accuracy and efficiency in predictions.
Scientists have discovered that aging clocks measure stochastic changes in cells, rather than damage accumulation. This finding suggests that aging can be predicted using the variation in cellular processes.
Researchers have identified a genetic program controlling aging, which accumulates over time through stochastic physiological damage. This new understanding opens up possibilities for developing remedies to combat aging.