Results 111 to 120 of about 11,303,291 (302)
Adaptive stochastic Gauss-Newton method with optical Monte Carlo for quantitative photoacoustic tomography. [PDF]
J Biomed Opt, 2022 Hänninen N +3 more
europepmc +1 more source
Letter with attachment: Dorothy Newton Earp to Ida M. Tarbell, December 2
, 1900 Handwritten letter with account of Isaac Newton's friendship with Abraham ...
Earp, Dorothy Newton
core
Advanced Science, EarlyView.Glucocorticoids transcriptionally activate LCN2 expression via GR nuclear translocation. Secreted LCN2 binds MMP9 to degrade skeletal muscle ECM collagen, blocks integrin‐mediated mechanotransduction, bidirectionally disrupts muscle protein homeostasis, and reveals a novel target for steroid‐induced muscle atrophy.
Hongwei Shi +11 more
wiley +1 more source
Continuous Newton method for star-like functions
Electronic Journal of Differential Equations, 2005 We study a continuous analogue of Newton method for solving the nonlinear equation $$ varphi (z) =0, $$ where $varphi(z)$ holomorphic function and $0inoverline{varphi ( D)}$. It is proved that this method converges, to the solution for each initial data $
Yakov Lutsky
doaj
On the SCD semismooth* Newton method for generalized equations with application to a class of static contact problems with Coulomb friction. [PDF]
Comput Optim Appl, 2023 Gfrerer H +3 more
europepmc +1 more source
On the Convergence of Inexact Newton Methods
, 2014 The inexact Newton method is widely used to solve systems of non-linear equations. It is well-known that forcing terms should be chosen relatively large at the start of the process, and be made smaller during the iteration process. This paper explores the mechanics behind this behavior theoretically using a simplified problem, and presents theory that ...
Reijer Idema +2 more
openaire +4 more sources
A Stein variational Newton method
, 2019 Stein variational gradient descent (SVGD) was recently proposed as a general purpose nonparametric variational inference algorithm [Liu & Wang, NIPS 2016]: it minimizes the Kullback-Leibler divergence between the target distribution and its approximation
Spantini, Alessio, Marzouk, Youssef M
core
Advanced Science, EarlyView.Perception in robotic manipulation improves through the cooperative and complementary operation of biologically inspired multimodal tactile sensors. Receptor‐specific contribution analysis identifies which sensing modalities are required for specific tactile tasks.
Yu‐Jin Lee +4 more
wiley +1 more source
AdaCN: An Adaptive Cubic Newton Method for Nonconvex Stochastic Optimization. [PDF]
Comput Intell Neurosci, 2021 Liu Y, Zhang M, Zhong Z, Zeng X.
europepmc +1 more source
Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method
, 1974 To define a likelihood we have to specify the form of distribution of the observations, but to define a quasi-likelihood function we need only specify a relation between the mean and variance of the observations and the quasi-likelihood can then be used ...
Wedderburn, R. W. M.
core +1 more source