Results 51 to 60 of about 24,811,169 (263)

Numerical solution for generalized nonlinear fractional integro-differential equations with linear functional arguments using Chebyshev series

open access: yes, 2020
In the present work, a numerical technique for solving a general form of nonlinear fractional order integro-differential equations (GNFIDEs) with linear functional arguments using Chebyshev series is presented.
K. Ali   +5 more
semanticscholar   +1 more source

Spectral Methods for Numerical Relativity. The Initial Data Problem [PDF]

open access: yes, 1999
Numerical relativity has traditionally been pursued via finite differencing. Here we explore pseudospectral collocation (PSC) as an alternative to finite differencing, focusing particularly on the solution of the Hamiltonian constraint (an elliptic ...
Finn, Lee Samuel, Kidder, Lawrence E.
core   +2 more sources

Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

open access: yesAdvanced Materials, EarlyView.
A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad   +6 more
wiley   +1 more source

Application of Rational Second Kind Chebyshev Functions for System of Integrodifferential Equations on Semi-Infinite Intervals

open access: yesJournal of Applied Mathematics, 2012
Rational Chebyshev bases and Galerkin method are used to obtain the approximate solution of a system of high-order integro-differential equations on the interval [0,∞).
M. Tavassoli Kajani   +3 more
doaj   +1 more source

Automatic Target Classification in GMTI Airborne Scenario

open access: yesInternational Journal of Technology, 2016
Ground moving radar target classification is one of the recent research issues that has arisen in an airborne ground moving target indicator (GMTI) scenario. This work presents a novel technique for classifying individual targets depending on their radar
Mousumi Gupta   +2 more
doaj   +1 more source

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

open access: yesAdvanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid   +7 more
wiley   +1 more source

A New Numerical Approach for Solving Fractional Optimal Control Problems with the Caputo–Fabrizio Fractional Operator

open access: yesJournal of Mathematics, 2022
In this study, the necessary optimality conditions are achieved for a class of fractional optimal control problems (FOCPs) involving the Caputo–Fabrizio (CF) fractional derivative. We offer a new numerical method based on the Chebyshev cardinal functions
Sara Ghaderi   +2 more
doaj   +1 more source

A New Template Family For The Detection Of Gravitational Waves From Comparable Mass Black Hole Binaries

open access: yes, 2007
In order to improve the phasing of the comparable-mass waveform as we approach the last stable orbit for a system, various re-summation methods have been used to improve the standard post-Newtonian waveforms.
C. W. Helstrom   +6 more
core   +1 more source

Preconditioned Chebyshev BiCG for parameterized linear systems

open access: yes, 2022
We consider the problem of approximating the solution to $A(μ) x(μ) = b$ for many different values of the parameter $μ$. Here we assume $A(μ)$ is large, sparse, and nonsingular with a nonlinear dependence on $μ$. Our method is based on a companion linearization derived from an accurate Chebyshev interpolation of $A(μ)$ on the interval $[-a,a]$, $a \in \
Correnty, Siobhán   +2 more
openaire   +2 more sources

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy