Results 161 to 170 of about 15,466 (317)
Energy Science &Engineering, EarlyView.Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng +8 more
wiley +1 more source
MEASURES ORTHOGONAL TO POLYNOMIALS [PDF]
Proceedings of the National Academy of Sciences, 1958 openaire +3 more sources
Subspace Acceleration for Efficient Nonlinear Water Wave Simulation
International Journal for Numerical Methods in Fluids, EarlyView.We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen +3 more
wiley +1 more source
A Periodic Hexagon Tiling Model and Non-Hermitian Orthogonal Polynomials. [PDF]
Commun Math Phys, 2020 Charlier C +3 more
europepmc +1 more source
The Impact of Uncertainty on Forecasting the US Economy
Journal of Forecasting, EarlyView.ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley +1 more source
Applied Mathematics in Science and EngineeringOrthogonal q-polynomials, both new and old, have witnessed a huge and revived attention in recent years, because of their applications in many diverse areas of mathematics and other sciences. In Geometric Function Theory, different subclasses of analytic
Muhammad Uzair Shah +4 more
doaj +1 more source
Analyzing genomic data using tensor-based orthogonal polynomials with application to synthetic RNAs. [PDF]
NAR Genom Bioinform, 2020 Nafees S, Rice SH, Wakeman CA.
europepmc +1 more source
Industry Portfolio Volatility Connections and Industry Portfolio Returns
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source
Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries
InfoScience, EarlyView.Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang +6 more
wiley +1 more source
, 2012 This thesis will show work on Orthogonal Polynomials. In mathematics, the type of polynomials that are orthogonal to each other under inner product are called orthogonal polynomials.
Antashyan, George Gevork
core +1 more source