Results 181 to 190 of about 24,030 (229)

Computationally efficient whole-genome quantile regression at biobank scale. [PDF]

open access: yesProc Natl Acad Sci U S A
Wang F   +7 more
europepmc   +1 more source

RegularizedOptimization.jl: A julia framework for regularized and nonsmooth optimization

open access: green
Maxence Gollier   +6 more
openalex  

Nonsmooth Optimization Methods

2020
This chapter is devoted to the description of some general methods of nonsmooth optimization. The first two—the standard subgradient and the proximal bundle methods—form the basis for numerical nonsmooth optimization. In addition, we will focus on the methods that will be utilized in the clustering algorithms given in Part II of this book. They are the
Adil M. Bagirov   +2 more
openaire   +1 more source

Nonsmooth Optimization Algorithms

1996
Quasidifferentiable and codifferentiable optimization algorithms are based on gradientlike, descent, iterative techniques whereas gradient information is replaced by the setvalued quasidifferential or the codifferential. Then the steepest descent finding subproblems are appropriately replaced by quadratic programming subproblems with a polyhedral ...
Vladimir F. Dem’yanov   +3 more
openaire   +1 more source

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