Results 51 to 60 of about 80,472 (232)

An Extension of the Chebyshev Polynomials [PDF]

open access: yesComplex Analysis and Operator Theory, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

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

Chebyshev's Problem

open access: yesJournal of Numerical Analysis and Approximation Theory, 2001
The Chebyshev approximation problem is usually described as to find the polynomial (or the element of an Haar subspace) which uniformly best approximates a given continuous function. Most of the theoretical results forming the basis of this theory have not been explored by members of the St Petersburg Mathematical School, founded by P. L.
openaire   +4 more sources

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

Image Encryption Algorithm Using Multi-Level Permutation and Improved Logistic–Chebyshev Coupled Map

open access: yesInformation, 2023
To improve the randomness of the Chebyshev chaotic sequences by coupling the Logistic map and the Chebyshev map, a new one-dimensional Logistic–Chebyshev chaotic map (LCCM) is first presented in this paper.
Mingfang Jiang, Hengfu Yang
doaj   +1 more source

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

Resultants of Chebyshev Polynomials

open access: yesZeitschrift für Analysis und ihre Anwendungen, 2008
Recently, K. Dillcher and K. B. Stolarsky [ Trans. Amer. Math. Soc. 357 (2004), 965–981] used algebraic methods to evaluate the resultant of two linear combinations of Chebyshev polynomials of the second kind.
Jemal Gishe, Mourad E. H. Ismail
openaire   +4 more sources

Arbitrary Orthogonal Polarization Decomposition and Routing With Complex Amplitude Modulation via Wheel‐of‐Fortune‐Inspired Metasurfaces

open access: yesAdvanced Science, EarlyView.
This work demonstrates a receiver‐transmitter‐integrated metasurface that decomposes an incident wave into orthogonal components and routes them into separate channels. Inspired by a “Wheel‐of‐Fortune” mechanism, it enables independent control over the amplitude, phase, and polarization of the transmitted wave.
Tong Liu   +8 more
wiley   +1 more source

Comparison of Chebyshev and Legendre Polynomial Expansion of Phase Function of Cloud and Aerosol Particles

open access: yesAdvances in Meteorology, 2017
Chebyshev and Legendre polynomial expansion is used to reconstruct the Henyey-Greenstein phase function and the phase functions of spherical and nonspherical particles.
Feng Zhang   +4 more
doaj   +1 more source

Best approximation in Chebyshev subspaces of L(l_{1}^{n},l_{1}^{n}) [PDF]

open access: yesOpuscula Mathematica, 2009
Chebyshev subspaces of \(\mathcal{L}(l_1^n,l_1^n)\) are studied. A construction of a \(k\)-dimensional Chebyshev (not interpolating) subspace is given.
Joanna Kowynia
doaj   +1 more source

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