Results 161 to 170 of about 124,946 (301)
ABSTRACT Iterative solvers are advantageous for handling nonlinear structural analysis problems. The iterative solvers often require updating the stiffness matrix, which limits their application in static and pseudo‐dynamic hybrid simulations because: (1) updating the stiffness matrix of a system involving a physical specimen is challenging; (2 ...
Junyan Xiao, Oh‐Sung Kwon, Evan Bentz
wiley +1 more source
Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley +1 more source
Combining quasi-one-dimensional modeling with region-wise structure analysis for rapid technology computer-aided design simulations of gate-all-around MOSFETs. [PDF]
Lee KW +4 more
europepmc +1 more source
Nonlinear Schwarz Preconditioning for Quasi-Newton Methods
We propose the nonlinear restricted additive Schwarz (RAS) preconditioning strategy to improve the convergence speed of limited memory quasi-Newton (QN) methods. We consider both "left-preconditioning" and "right-preconditioning" strategies. As the application of the nonlinear preconditioning changes the standard gradients and Hessians to their ...
openaire +2 more sources
Sharpened Lazy Incremental Quasi-Newton Method
The problem of minimizing the sum of $n$ functions in $d$ dimensions is ubiquitous in machine learning and statistics. In many applications where the number of observations $n$ is large, it is necessary to use incremental or stochastic methods, as their ...
Rajawat, Ketan +3 more
core
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
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 +3 more
wiley +1 more source
GEORCE: a fast new control algorithm for computing geodesics. [PDF]
Rygaard FM, Hauberg S.
europepmc +1 more source
Health Preferences and Sorting in the City
ABSTRACT There are large health inequalities between neighborhoods in many cities of the world. This paper studies individuals' sorting based on health amenities and exposes an important connection between health preferences and the housing market. I estimate a neighborhood choice model using geolocated data from a health survey in New York City and ...
Manuela Puente‐Beccar
wiley +1 more source
Harvest increase and culling as tools for managing chronic wasting disease in white‐tailed deer
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 +3 more
wiley +1 more source
القیاس الذاتی للمتغیر المتری فی الأمثلیة المقیدة
Eman Hamed, Marwa W. Hamad
doaj +1 more source

