Results 31 to 40 of about 1,976,299 (274)
On Iterative Methods for Solving Nonlinear Equations in Quantum Calculus
Quantum calculus (also known as the q-calculus) is a technique that is similar to traditional calculus, but focuses on the concept of deriving q-analogous results without the use of the limits.
Gul Sana +4 more
doaj +1 more source
Convergence Analysis of the FOCUSS Algorithm
FOCal Underdetermined System Solver (FOCUSS) is a powerful tool for sparse representation and underdetermined inverse problems, which is extremely easy to implement. In this paper, we give a comprehensive convergence analysis on the FOCUSS algorithm towards establishing a systematic convergence theory by providing three primary contributions as follows.
He, Zhaoshui +2 more
openaire +3 more sources
Chaos and Stability in a New Iterative Family for Solving Nonlinear Equations
In this paper, we present a new parametric family of three-step iterative for solving nonlinear equations. First, we design a fourth-order triparametric family that, by holding only one of its parameters, we get to accelerate its convergence and finally ...
Alicia Cordero +2 more
doaj +1 more source
Study of the derivative expansions for the nuclear structure functions [PDF]
We study the convergence of the series expansions sometimes used in the analysis of the nuclear effects in Deep Inelastic Scattering (DIS) proccesses induced by leptons.
Armesto N +2 more
core +4 more sources
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Convergence Analysis of Butterfly Optimization Algorithm
Abstract Convergence analysis of any random search algorithm helps to verify whether and how quickly the algorithm guarantees convergence to the point of interest. Butterfly optimization algorithm (BOA) is a popular population-based stochastic optimizer introduced by mimicking the foraging behaviors of butterflies in nature.
Prasanjit Chakraborty +2 more
openaire +1 more source
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
Convergence analysis of some decentralized parameter estimators [PDF]
Parameter estimators based upon standard estimation techniques, viz, least squares (LS) methods, instrumental variable methods, etc. may occasionally have difficulties with systems having a somewhat ill-conditioned nature, e.g., stiff systems.
Rolf Henriksen
doaj +1 more source
Sectoral Convergence in Output Per Worker Between Portuguese Regions [PDF]
The aim of this paper is to present a further contribution to the analysis of absolute convergence (and), associated with the neoclassical theory, and conditional, associated with endogenous growth theory, of the sectoral productivity at regional level ...
Martinho, Vitor Joao Pereira Domingues
core +1 more source
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source

