Results 51 to 60 of about 808,313 (268)

Performance of Domain-Wall Encoding for Quantum Annealing

IEEE Transactions on Quantum Engineering, 2021
In this article, we experimentally test the performance of the recently proposed domain-wall encoding of discrete variables Chancellor, 2019, on Ising model flux qubit quantum annealers.
Jie Chen, Tobias Stollenwerk, Nicholas Chancellor   +2 more
doaj   +1 more source

On the optimal combination of tensor optimization methods

, 2020
Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Kamzolov, Dmitry, Gasnikov, Alexander, Dvurechensky, Pavel   +2 more
openaire   +2 more sources

Accelerated Methods for NonConvex Optimization [PDF]

SIAM Journal on Optimization, 2018
We present an accelerated gradient method for non-convex optimization problems with Lipschitz continuous first and second derivatives. The method requires time $O(ε^{-7/4} \log(1/ ε) )$ to find an $ε$-stationary point, meaning a point $x$ such that $\|\nabla f(x)\| \le ε$.
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford   +3 more
openaire   +2 more sources

Pre-Selection of the Optimal Sitting of Phase-Shifting Transformers Based on an Optimization Problem Solved within a Coordinated Cross-Border Congestion Management Process

Energies, 2020
The current European policy roadmap aims at forcing the TSOs to coordinate remedial actions used for relieving the congestions in the synchronous power system.
Endika Urresti-Padrón, Marcin Jakubek, Wojciech Jaworski, Michał Kłos   +3 more
doaj   +1 more source

SCATTERING BY CIRCULAR VOIDS WITH RIGID BOUNDARY: DIRECT AND INVERSE PROBLEMS FOR OPEN AND CLOSE DOMAINS

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2022
Problems with the accuracy of calculations by the Boundary Element Method of acoustic and ultrasonic problems formulated in the frequency domain were presented in this paper.
Tomasz Rymarczyk, Jan Sikora
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

On Covering Methods for D.C. Optimization [PDF]

Journal of Global Optimization, 2000
Covering methods constitute a broad class of algorithms for solving multivariate Global Optimization problems. In this note we show that, when the objective f is d.c. and a d.c. decomposition for f is known, the computational burden usually suffered by multivariate covering methods is significantly reduced.
Rafael Blanquero, Emilio Carrizosa
openaire   +3 more sources

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

One-Rank Linear Transformations and Fejer-Type Methods: An Overview

Mathematics
Subgradient methods are frequently used for optimization problems. However, subgradient techniques are characterized by slow convergence for minimizing ravine convex functions.
Volodymyr Semenov, Petro Stetsyuk, Viktor Stovba, José Manuel Velarde Cantú   +3 more
doaj   +1 more source

Generalized Adaptive Polynomial Window Function

IEEE Access, 2020
We present a novel method to design and optimize window functions based on combinations of linearly independent functions. These combinations can be performed using different strategies, such a sums of sines/cosines, series, or conveniently using a ...
Joao Francisco Justo, Wesley Beccaro
doaj   +1 more source