by Paul W. Bauer and Diana Hancock Paul W. Bauer is,an economic at)-, visor in the Financial Services Research Group at the Federal Reserve Bank of Cleveland, and Diana Hancock is an economist in the Division of Reserve Bank Operations and Payment Systems at the Federal Reserve Board of Governors. For helpful comments, the authors thank Allen Berger, David Humphrey, Jeffrey Marquardt, and Flore...

and 700K: Shear strength of argon at HP/HT H. Marquardt, S. Speziale, A. Gleason, S. Sinogeikin, I. Kantor, and V. B. Prakapenka German Research Center for Geosciences GFZ, Telegrafenberg, 14473 Potsdam, Germany Department of Geological & Environmental Sciences, Stanford University, California 94305, USA High Pressure Collaborative Access Team (HPCAT), Geophysical Laboratory, Carnegie Instituti...

We present a fast, accurate and robust parallel Levenberg-Marquardt minimization optimizer, GPU-LMFit, which is implemented on graphics processing unit for high performance scalable parallel model fitting processing. GPU-LMFit can provide a dramatic speed-up in massive model fitting analyses to enable real-time automated pixel-wise parametric imaging microscopy. We demonstrate the performance o...

In this paper, the feedforward neural network with Levenberg-Marquardt backpropagation training algorithm is used to predict the grasping forces according to the multisensory signals as training samples for specific design of underactuated multifingered hand to avoid the complexity of calculating the inverse kinematics which is appeared through the dynamic modeling of the robotic hand and prepa...

The aim of the study is to find right architecture NARX neural network, in order perform daily prediction maximum wind speed Laayoune city. We relied on Levenberg-Marquardt optimization algorithm. RMSE error metric showed that NARX-SP outperforms NARX-P.

Google Earth Engine (GEE) has been widely used to process geospatial data in recent years. Although the current GEE platform includes functions for fitting linear regression models, it does not have function fit nonlinear limiting platform’s capacity and application. To circumvent this limitation, work proposes a general adaptation of Levenberg–Marquardt (LM) method models parallel processing f...