Results 11 to 20 of about 427,151 (188)

Symmetrized semi-discrete optimal transport

open access: yes, 2022
Interpolating between measures supported by polygonal or polyhedral domains is a problem that has been recently addressed by the semi-discrete optimal transport framework. Within this framework, one of the domains is discretized with a set of samples, while the other one remains continuous.
Herrou, Agathe   +4 more
openaire   +2 more sources

Optimizing the HSX stellarator for microinstability by coil-current adjustments

open access: yesNuclear Fusion, 2023
The optimization of helically symmetric experiment (HSX) for reduced microinstability has been achieved by examining a large set of configurations within a neighborhood of the standard operating configuration.
M.J. Gerard   +8 more
doaj   +1 more source

Optimizing Gershgorin for symmetric matrices [PDF]

open access: yesLinear Algebra and its Applications, 2019
The Gershgorin Circle Theorem is a well-known and efficient method for bounding the eigenvalues of a matrix in terms of its entries. If $A$ is a symmetric matrix, by writing $A = B + x{\bf 1}$, where ${\bf 1}$ is the matrix with unit entries, we consider the problem of choosing $x$ to give the optimal Gershgorin bound on the eigenvalues of $B$, which ...
openaire   +2 more sources

Optimal Symmetric Ratcheting for Secure Communication [PDF]

open access: yesThe Computer Journal, 2022
AbstractTo mitigate state exposure threats to long-lived instant messaging sessions, ratcheting was introduced, which is used in practice in protocols like Signal. However, existing ratcheting protocols generally come with a high cost. Recently, Caforio et al.
Hailun Yan   +3 more
openaire   +1 more source

Periodic Layout Optimization of Cyclic Symmetric Structure

open access: yesIEEE Access, 2019
This paper proposes a new optimization method to solve periodic layout optimization of a cyclic symmetric structure by means of the guide-weight method.
Hong-Yu Jiao, Ying Li, Lan-Yu Yang
doaj   +1 more source

Analytical beampattern synthesis for symmetric nonuniform linear array based on superposition principle

open access: yesElectronics Letters, 2023
In this letter, an analytical method for the beampattern synthesis of symmetric nonuniform array is proposed. This method consists of two steps. In the first step, it acquires a real symmetric excitation by the convex optimization method to attain a ...
Fei Shi, Mengkai Hu, Xiuquan Dou
doaj   +1 more source

Hahn's Symmetric Quantum Variational Calculus [PDF]

open access: yes, 2012
We introduce and develop the Hahn symmetric quantum calculus with applications to the calculus of variations. Namely, we obtain a necessary optimality condition of Euler-Lagrange type and a sufficient optimality condition for variational problems within ...
A. B. Malinowska   +28 more
core   +2 more sources

Symmetric Constrained Optimal Control

open access: yesIFAC-PapersOnLine, 2015
Abstract This paper extends previous results on symmetry in strictly convex linear model predictive control to non-strictly convex and nonlinear model predictive control. We define symmetry for constrained systems, controllers, and model predictive control problems.
Claus Danielson, Francesco Borrelli
openaire   +1 more source

Generalized symmetric ADMM for separable convex optimization [PDF]

open access: yesComputational Optimization and Applications, 2017
The Alternating Direction Method of Multipliers (ADMM) has been proved to be effective for solving separable convex optimization subject to linear constraints. In this paper, we propose a Generalized Symmetric ADMM (GS-ADMM), which updates the Lagrange multiplier twice with suitable stepsizes, to solve the multi-block separable convex programming. This
Bai, Jianchao   +3 more
openaire   +2 more sources

Numerical optimization for symmetric tensor decomposition [PDF]

open access: yesMathematical Programming, 2015
We consider the problem of decomposing a real-valued symmetric tensor as the sum of outer products of real-valued vectors. Algebraic methods exist for computing complex-valued decompositions of symmetric tensors, but here we focus on real-valued decompositions, both unconstrained and nonnegative, for problems with low-rank structure.
openaire   +3 more sources

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