Symbolic emulators approximate key Lambda CDM functions to 0.001-0.05% accuracy across relevant redshifts and Omega_m values, enabling faster 3x2pt inference with consistent results.
2002 Combining Convergence and Diversity in Evolutionary Multiobjective Optimization.Evol
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A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.
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Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision
Symbolic emulators approximate key Lambda CDM functions to 0.001-0.05% accuracy across relevant redshifts and Omega_m values, enabling faster 3x2pt inference with consistent results.
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Optimising Urban Flood Resilience
A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.