Adapting Behavioral Interventions for a Changing Public Health Context: A Worked Example of Implementing a Digital Intervention During a Global Pandemic Using Rapid Optimisation Me... by Katherine Morton, Ben Ainsworth, Ben Ainsworth, Sascha Miller, Cathy Rice, Jennifer Bostock, Jennifer Bostock, James Denison-Day, Lauren Towler, Julia Groot, Michael Moore, Merlin Willcox, Tim Chadborn, Richard Amlot, Natalie Gold, Paul Little, Lucy Yardley, Lucy Yardley

“…This paper provides a set of iterative methods to rapidly adapt and optimize an intervention during implementation. …”
Get full text

The Essential Role of Taxonomic Expertise in the Creation of DNA Databases for the Identification and Delimitation of Southeast Asian Ambrosia Beetle Species (Curculionidae: Scolyt... by Anthony I. Cognato, Gina Sari, Sarah M. Smith, Roger A. Beaver, You Li, Jiri Hulcr, Bjarte H. Jordal, Hisashi Kajimura, Ching-Shan Lin, Thai Hong Pham, Sudhir Singh, Wisut Sittichaya

“…Tree, distance, and iterative methods were used to assess the identification and delimitation of species. …”
Get full text

Improving thermodynamic profile retrievals from microwave radiometers by including radio acoustic sounding system (RASS) observations by I. V. Djalalova, I. V. Djalalova, D. D. Turner, L. Bianco, L. Bianco, J. M. Wilczak, J. Duncan, J. Duncan, J. Duncan, B. Adler, B. Adler, D. Gottas

“…<p>Thermodynamic profiles are often retrieved from the multi-wavelength brightness temperature observations made by microwave radiometers (MWRs) using regression methods (linear, quadratic approaches), artificial intelligence (neural networks), or physical iterative methods. Regression and neural network methods are tuned to mean conditions derived from a climatological dataset of thermodynamic profiles collected nearby. …”
Get full text

The Functional Relationship of Sediment Transport under Various Simulated Rainfall Conditions by Hanna Mariana Henorman, Duratul Ain Tholibon, Masyitah Md Nujid, Hamizah Mokhtar, Jamilah Abd Rahim, Azlinda Saadon

“…The relationship indicates that 63.6% to 72.44% of the variance in the independent parameters is in relation to the dependent parameter. From the iteration method, the estimation of constant and regression coefficient values is presented in the form of the general formula for linear and nonlinear model equations. …”
Get full text

Using Deep Learning to Understand and Design Heterogeneous Materials by Yang, Zhenze

“…We introduce a framework that integrates multiple deep learning (DL) models to tackle a typical inverse problem efficiently, circumventing the need for costly iterative methods and provides new solutions to addressing ill-posed inverse problem where multiple solutions may exist for a single observation. …”
Get full text

Pragmatic solvers for 3D Stokes and elasticity problems with heterogeneous coefficients: evaluating modern incomplete LDL^<i>T</i> preconditioners by P. Sanan, D. A. May, M. Bollhöfer, O. Schenk

“…Incomplete LDL<span class="inline-formula">^<i>T</i></span> (ILDL) factorizations, with symmetric maximum weighted-matching preprocessing, used as preconditioners for Krylov (iterative) methods, have emerged as an efficient means to solve indefinite systems. …”
Get full text

Essays on economic theory by Dai, Tianjiao,Ph.D.Massachusetts Institute of Technology.

Get full text

Experimental study of a 1.5-MW, 110-GHz gyrotron oscillator by Anderson, James P. (James Paul), 1972-

Get full text

Introduction to numerical and analytical methods with MATLAB for engineers and scientists / by Bober, William, 1930-

Study of Time-Fractional Nonlinear Model Governing Unsteady Flow of Polytropic Gas by Brajesh K. Singh, Haci Mehmet Baskonus, Neetu Singh, Mukesh Gupta, D. G. Prakasha

“…The _<i>O</i>HA<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="double-struck">J</mi></semantics></math></inline-formula>TM is the hybrid method, where optimal-homotopy analysis method (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mi>O</mi></msub></semantics></math></inline-formula>HAM) is utilized after implementing the properties of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="double-struck">J</mi></semantics></math></inline-formula>-transform (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="double-struck">J</mi></semantics></math></inline-formula>T), and in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="double-struck">J</mi></semantics></math></inline-formula>-VITM is the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="double-struck">J</mi></semantics></math></inline-formula>-transform-based variational iteration method. Banach’s fixed point approach is adopted to analyze the convergence of these methods. …”
Get full text

The Smallest Singular Value Anomaly and the Condition Number Anomaly by Achiya Dax

“…The practical importance of these phenomena lies in the use of iterative methods for solving large linear systems, since several iterative solvers have the property that a large condition number results in a slow rate of convergence, while a small condition number yields fast convergence. …”
Get full text

Form Follows Force: A theoretical framework for Structural Morphology, and Form-Finding research on shell structures by Qingpeng Li

“…Two Form-Control strategies are developed by combining two simple optimisation algorithms (the Newton-Raphson method and the inverse iteration method) with the VFIFE method. These strategies can help designers determine the structurally efficient forms more easily and more efficiently than some relatively complicated and time-consuming optimisation algorithms (Chapter 6)…”
Get full text