Results 101 to 110 of about 681,860 (297)
IEEE AccessChannel estimation and extrapolation are key challenges in massive multiple-input multiple-output communications. In this paper, we propose a quasi-Newton-based joint multipath optimization approach called Quasi-Newton Orthogonal Matching Pursuit (QNOMP)
Yi Zeng +3 more
doaj +1 more source
Multi-order analytical solving computation of rainstorm causal decomposition during typhoons using a designed key-lock quasi-Newton optimizing derivation. [PDF]
Heliyon, 2023 Huang CL, Hsu NS, Yao CH, Lo WC.
europepmc +1 more source
Action constrained quasi-Newton methods
CoRR, 2014 At the heart of Newton based optimization methods is a sequence of symmetric linear systems. Each consecutive system in this sequence is similar to the next, so solving them separately is a waste of computational effort. Here we describe automatic preconditioning techniques for iterative methods for solving such sequences of systems by maintaining an ...
Robert Mansel Gower, Jacek Gondzio
openaire +2 more sources
A Newton Collocation Method for Solving Dynamic Bargaining Games [PDF]
We develop and implement a collocation method to solve for an equilibrium in the dynamic legislative bargaining game of Duggan and Kalandrakis (2008). We formulate the collocation equations in a quasi-discrete version of the model, and we show that the ...
John Duggan, Tasos Kalandrakis
core
Small, EarlyView.TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah +4 more
wiley +1 more source
Results in Control and OptimizationThis paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems.
Vassilios Yfantis +2 more
doaj +1 more source
A Novel Approach to Energy Management in Electric Steelworks
steel research international, EarlyView.Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Asynchronous Parallel Stochastic Quasi-Newton Methods. [PDF]
Parallel Comput, 2021 Tong Q, Liang G, Cai X, Zhu C, Bi J.
europepmc +1 more source
steel research international, EarlyView.The in situ agglomeration behavior of semisolid Al–silicate inclusions in Si‐killed steel is studied using high‐temperature confocal scanning laser microscopy. Particle motion and interparticle forces at the steel/argon interface are quantified and compared with a modified capillary interaction model.
Suwam Kumar +4 more
wiley +1 more source
New Results on Superlinear Convergence of Classical Quasi-Newton Methods. [PDF]
J Optim Theory Appl, 2021 Rodomanov A, Nesterov Y.
europepmc +1 more source