Search alternatives:
action optimization » reaction optimization (Expand Search), function optimization (Expand Search), codon optimization (Expand Search)
based optimization » whale optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based action » based motion (Expand Search), based active (Expand Search), based fusion (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
action optimization » reaction optimization (Expand Search), function optimization (Expand Search), codon optimization (Expand Search)
based optimization » whale optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based action » based motion (Expand Search), based active (Expand Search), based fusion (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
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221
SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
Published 2020“…MUQ provides a spectrum of powerful Bayesian inversion models and algorithms, but expects forward models to come equipped with gradients/Hessians to permit large-scale solution. hIPPYlib implements powerful large-scale gradient/Hessian-based solvers in an environment that can automatically generate needed derivatives, but it lacks full Bayesian capabilities. …”
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222
SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
Published 2020“…MUQ provides a spectrum of powerful Bayesian inversion models and algorithms, but expects forward models to come equipped with gradients/Hessians to permit large-scale solution. hIPPYlib implements powerful large-scale gradient/Hessian-based solvers in an environment that can automatically generate needed derivatives, but it lacks full Bayesian capabilities. …”
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223
LinearSolve.jl: because A\b is not good enough
Published 2022“…No, get outta here, the libraries don't support that. And even if they did, this still isn't as efficient as... you get the point.…”