3 citations · 3 across the 6 of their papers we have counts for
6 papers
Solving a linear program via a single unconstrained minimization
Adilet Otemissov, Alina Abdikarimova
This paper proposes a novel approach for solving linear programs. We reformulate a primal-dual linear program as an unconstrained minimization of a convex and twice continuously di…
Learning the subspace of variation for global optimization of functions with low effective dimension
Coralia Cartis, Xinzhu Liang, Estelle Massart +1
We propose an algorithmic framework, that employs active subspace techniques, for scalable global optimization of functions with low effective dimension (also referred to as low-ra…
Global optimization using random embeddings
Coralia Cartis, Estelle Massart, Adilet Otemissov
We propose a random-subspace algorithmic framework for global optimization of Lipschitz-continuous objectives, and analyse its convergence using novel tools from conic integral geo…
Constrained global optimization of functions with low effective dimensionality using multiple random embeddings
Coralia Cartis, Estelle Massart, Adilet Otemissov
We consider the bound-constrained global optimization of functions with low effective dimensionality, that are constant along an (unknown) linear subspace and only vary over the ef…
A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality
Coralia Cartis, Adilet Otemissov
We investigate the unconstrained global optimization of functions with low effective dimensionality, that are constant along certain (unknown) linear subspaces. Extending the techn…
Optimal Design of Helical Springs of Power Law Materials
Dongming Wei, Marios Fyrillas, Adilet Otemissov +1
In this paper the geometric dimensions of a compressive helical spring made of power law materials are optimized to reduce the amount of material. The mechanical constraints are de…