Results 111 to 120 of about 463,836 (293)

Zeroth-Order Riemannian Adaptive Regularized Proximal Quasi-Newton Optimization Method

Axioms
Recently, the adaptive regularized proximal quasi-Newton (ARPQN) method has demonstrated a strong performance in solving composite optimization problems over the Stiefel manifold.
Yinpu Ma, Cunlin Li, Zhichao Wang, Qian Li   +3 more
doaj   +1 more source

Surface structure feature matching algorithm for cardiac motion estimation

BMC Medical Informatics and Decision Making, 2017
Background Cardiac diseases represent the leading cause of sudden death worldwide. During the development of cardiac diseases, the left ventricle (LV) changes obviously in structure and function. LV motion estimation plays an important role for diagnosis
Zhengrui Zhang, Xuan Yang, Cong Tan, Wei Guo, Guoliang Chen   +4 more
doaj   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

A New Sparse Quasi-Newton Update Method

Sultan Qaboos University Journal for Science [SQUJS], 2012
Based on the idea of maximum determinant positive definite matrix completion, Yamashita proposed a sparse quasi-Newton update, called MCQN, for unconstrained optimization problems with sparse Hessian structures. Such an MCQN update keeps the sparsity structure of the Hessian while relaxing the secant condition.
Minghou Cheng, Yu‐Hong Dai, Rui Diao
openaire   +2 more sources

Harvest increase and culling as tools for managing chronic wasting disease in white‐tailed deer

The Journal of Wildlife Management, EarlyView.
We used an agent‐based model to simulate the effect of CWD management on a white‐tailed deer population in northwest Indiana and northeast Illinois. Our results suggest that wildlife managers should reconsider how and if they should manage CWD. Abstract Chronic wasting disease (CWD), a transmissible spongiform encephalopathy that affects white‐tailed ...
Jonathan D. Brooks, Aniruddha V. Belsare, Joe N. Caudell, Patrick A. Zollner   +3 more
wiley   +1 more source

Quasi-Newton Based Preconditioning and Damped Quasi-Newton Schemes for Nonlinear Conjugate Gradient Methods [PDF]

, 2018
In this paper, we deal with matrix-free preconditioners for nonlinear conjugate gradient (NCG) methods. In particular, we review proposals based on quasi-Newton updates, and either satisfying the secant equation or a secant-like equation at some of the previous iterates.
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma   +3 more
openaire   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

On the high convergence orders of the Newton-GMBACK methods

Journal of Numerical Analysis and Approximation Theory, 1999
The high convergence orders of the Newton-GMBACK methods can be characterized applying three different existing results. In this note we show by some direct computations that these characterizations are equivalent.
Emil Cătinaş
doaj   +2 more sources

Attitude Estimation Fusing Quasi-Newton and Cubature Kalman Filtering for Inertial Navigation System Aided With Magnetic Sensors

IEEE Access, 2018
In the complex underwater environment, the performance of microelectro-mechanical system sensors is degraded sharply and the errors will become much larger.
Haoqian Huang, Jun Zhou, Jun Zhang, Yuan Yang, Rui Song, Jianfeng Chen, Jiajin Zhang   +6 more
doaj   +1 more source

On the Modifications of a Broyden's Single Parameter Rank-Two Quasi-Newton Method for Unconstrained Minimization [PDF]

, 1999
The thesis concerns mainly in finding the numerical solution of non-linear unconstrained problems. We consider a well-known class of optimization methods called the quasi-Newton methods, or variable metric methods.
Leong, Wah June
core