New linearization and reweighting for simulations of string sigma-model on the lattice
Sign Up to like & getrecommendations! Published in 2020 at "Journal of High Energy Physics"
DOI: 10.1007/jhep01(2020)174
Abstract: We study the discretized worldsheet of Type IIB strings in the Gubser-Klebanov-Polyakov background in a new setup, which eliminates a complex phase previously detected in the fermionic determinant. A sign ambiguity remains, which a study… read more here.
Keywords: new linearization; simulations string; linearization reweighting; reweighting simulations ... See more keywords
A Linearization Method in the “Attack–Defense” Game with Nonhomogeneous Opponent Resources
Sign Up to like & getrecommendations! Published in 2020 at "Computational Mathematics and Modeling"
DOI: 10.1007/s10598-020-09479-7
Abstract: A nonhomogeneous generalization of the “attack–defense” game is considered. A linearization method is proposed to determine the best guaranteed outcome (BGO) of defense. The linearization utilizes a decomposition of the solution in a small parameter… read more here.
Keywords: attack defense; linearization method; defense; linearization ... See more keywords
Linearization criteria for two-dimensional systems of third-order ordinary differential equations by complex approach
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal of Mathematics"
DOI: 10.1007/s40065-019-0238-8
Abstract: Linearization criteria for two-dimensional systems of second-order ordinary differential equations (ODEs) have been derived earlier using complex symmetry analysis. For such systems, the linearizable form, linearization criteria and symmetry group classification are presented. In this… read more here.
Keywords: linearization; order; dimensional systems; linearization criteria ... See more keywords
Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Economic Dynamics and Control"
DOI: 10.1016/j.jedc.2018.01.002
Abstract: We propose a new method for computing equilibria in heterogeneous-agent models with aggregate uncertainty. The idea relies on an assumption that linearization offers a good approximation; we share this assumption with existing linearization methods. However,… read more here.
Keywords: impulse response; numerical derivative; response; linearization ... See more keywords
Operator-based linearization for general purpose reservoir simulation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.08.009
Abstract: Abstract General purpose reservoir simulation is based on the solution of governing equations describing mass and energy transfer in the subsurface. The solution process requires the linearization of strongly nonlinear governing equations. Usually, a Newton-based… read more here.
Keywords: general purpose; linearization; purpose reservoir; simulation ... See more keywords
A Characterization of Linearizability for Holomorphic ℂ*-Actions
Sign Up to like & getrecommendations! Published in 2021 at "International Mathematics Research Notices"
DOI: 10.1093/imrn/rnab070
Abstract: Let $G$ be a reductive complex Lie group acting holomorphically on $X=\mathbb{C}^n$. The (holomorphic) Linearization Problem asks if there is a holomorphic change of coordinates on $\mathbb{C}^n$ such that the $G$-action becomes linear. Equivalently, is… read more here.
Keywords: characterization linearizability; holomorphic actions; linearization; linearizability holomorphic ... See more keywords
Linearization of Recurrent-Neural-Network- Based Models for Predictive Control of Nano-Positioning Systems Using Data-Driven Koopman Operators
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013935
Abstract: Recent studies have shown that the nonlinear dynamics of nano-positioning systems (e.g., piezo-electric actuators (PEAs)) can be accurately captured by recurrent neural networks (RNNs). One direct application of this technique is PEA system control for… read more here.
Keywords: linearization; control; predictive control; recurrent neural ... See more keywords
Enhanced MPC for Omnidirectional Robot Motion Tracking Using Laguerre Functions and Non-Iterative Linearization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3220240
Abstract: To cope with the computational complexity of the traditional model predictive control, and to reduce the error of the linearization and prediction processes, this paper presents an improved model predictive control algorithm, based on Laguerre… read more here.
Keywords: laguerre functions; linearization; non iterative; robot ... See more keywords
Lower Bound for the Normalized Mean Square Error in Power Amplifier Linearization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Microwave and Wireless Components Letters"
DOI: 10.1109/lmwc.2018.2817021
Abstract: The normalized mean square error (NMSE) is a performance criteria commonly used in power amplifier (PA) linearization to quantify the amount of in-band distortion encountered at the output of a PA. This letter presents a… read more here.
Keywords: normalized mean; amplifier linearization; power amplifier; mean square ... See more keywords
Model Predictive Control and Transfer Learning of Hybrid Systems Using Lifting Linearization Applied to Cable Suspension Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3131750
Abstract: Model Predictive Control (MPC) of nonlinear hybrid systems using lifting linearization underpinned by Koopman Operator is presented. Unlike standard linearization, which is valid only locally, lifting linearization provides a global linear representation of a nonlinear… read more here.
Keywords: linearization; cable; control; lifting linearization ... See more keywords
Gaussian Process Classification Using Posterior Linearization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2906929
Abstract: This letter proposes a new algorithm for Gaussian process classification based on posterior linearization (PL). In PL, a Gaussian approximation to the posterior density is obtained iteratively using the best possible linearization of the conditional… read more here.
Keywords: gaussian process; linearization; process classification; posterior linearization ... See more keywords