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Found 5 papers, 3 papers with code
Toeplitz Least Squares Problems, Fast Algorithms and Big Data
In time series analysis, when fitting an autoregressive model, one must solve a Toeplitz ordinary least squares problem numerous times to find an appropriate model, which can severely affect computational times with large data sets.
A Julia implementation of Algorithm NCL for constrained optimization
We give numerical results from a Julia implementation of Algorithm NCL on tax policy models that do not satisfy the LICQ, and on nonlinear least-squares problems and general problems from the CUTEst test set.
Optimization and Control Numerical Analysis Numerical Analysis
Estimating Cellular Goals from High-Dimensional Biological Data
The latter approach is important because often the known/observed biochemical reactions are not enough to explain observations, and hence there is a need to extend automatically the model complexity by learning new chemical reactions.
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
This protocol can be adapted for the generation and analysis of a constraint-based model in a wide variety of molecular systems biology scenarios.
Proximal Newton-type methods for minimizing composite functions
We generalize Newton-type methods for minimizing smooth functions to handle a sum of two convex functions: a smooth function and a nonsmooth function with a simple proximal mapping.
