Results 151 to 160 of about 1,596 (244)
An introduction to orthogonal polynomials
Assuming no further prerequisites than a first undergraduate course in real analysis, this concise introduction covers general elementary theory related to orthogonal polynomials. It includes necessary background material of the type not usually found in
Chihara, Theodore S
core
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili +3 more
wiley +1 more source
Coefficient Estimates for New Subclasses of Bi-Univalent Functions Involving Generalized Bivariate Fibonacci-like Polynomials. [PDF]
Husseinu M, H Saloomi M.
europepmc +1 more source
ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini +5 more
wiley +1 more source
Regularization of electromagnetic scattering problems via the Abel integral transform. [PDF]
Vinogradova E, Smith P.
europepmc +1 more source
Out of Sight, Out of Mind: Digitalization's Double Role in Driving Sustainable Transition
ABSTRACT This paper investigates the role of digitalization in overcoming organizational barriers to sustainability. Drawing on the attention‐based view (ABV) theory, the study examines how digitalization, as a contextual condition, shapes the allocation of managerial attention, influences the perception of sustainability barriers, and ultimately ...
Zahra Ahmadi‐Gh +1 more
wiley +1 more source
Supershift properties for nonanalytic signals. [PDF]
Colombo F +3 more
europepmc +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]
Su Z +7 more
europepmc +1 more source
Higher spin generalisation of the Gegenbauer polynomials
: In this paper we generalise the harmonic Gegenbauer polynomials to the higher spin setting. To do so we will consider the space of simplicial harmonics and look for polynomials that are invariant with respect to a particular subalgebra of the ...
Eelbode, David, Janssens, Tim
core

