Results 41 to 50 of about 17,709,774 (182)

Chebfun Solutions to a Class of 1D Singular and Nonlinear Boundary Value Problems

Computation, 2022
The Chebyshev collocation method implemented in Chebfun is used in order to solve a class of second order one-dimensional singular and genuinely nonlinear boundary value problems.
Călin-Ioan Gheorghiu
doaj   +1 more source

Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods

Sustainable Development, EarlyView.
ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz, Pedro Gómez‐Gasquet, Francisco Fraile   +2 more
wiley   +1 more source

(Beta, Gamma) - Chebyshev functions and theirs application to the Gibbs and Runge phenomenons

, 2022
openIn questo elaborato presentiamo le (β, γ)-funzioni di Chebyshev e i corrispondenti (β, γ)-punti di Chebyshev. Mostriamo che possono essere considerati come una gene- ralizzazione dei polinomi di Chebyshev, analizzando le loro proprietà piu ...
MARIETHOZ, JEAN-ZACHARIE
core  

Modelling of natural convection flows with large temperature differences : a benchmark problem for low Mach number solvers. Part 1, Reference solutions [PDF]

, 2005
There are very few reference solutions in the literature on non-Boussinesq natural convection flows. We propose here a test case problem which extends the well-known De Vahl Davis differentially heated square cavity problem to the case of large ...
Catherine Weisman, Roland Becker, PAILLERE, H, BECKER, R, Henri Paillère, Patrick Le Quéré, Weisman, Catherine, Paillère, Henri, Becker, Roland, Locke, James C. W., LOCKE, J, Malte Braack, James Locke, Dick, Erik, WEISMAN, C, Jan Vierendeels, Vierendeels, Jan, Braack, Malte, BRAACK, M, Le Quéré, Patrick, Locke, James, LE QUERE, P, Erik Dick   +22 more
core   +1 more source

Chebyshev nets from commuting PolyVector fields [PDF]

, 2019
We propose a method for computing global Chebyshev nets on triangular meshes. We formulate the corresponding global parameterization problem in terms of commuting PolyVector fields, and design an efficient optimization method to solve it. We compute, for
Sageman-Furnas, Andrew O., Chern, Albert, Vaxman, Amir, Geometric Computing, Ben-Chen, Mirela, Sub Geometric Computing   +5 more
core   +2 more sources

A Novel Orthogonal TU¯ Chebyshev Polynomial Basis for High-Accuracy Solution of Fractional Integro-Differential Equations

Journal of Mathematics
The main question addressed in this study is whether a newly constructed orthogonal basis, which is a combination of first- and second-kind Chebyshev polynomials, can provide a more accurate and efficient numerical method for solving fractional integro ...
Samiye Akhlaghi, Maryam Bahmanpour, Majid Tavassoli Kajani   +2 more
doaj   +1 more source

Novel Numerical Investigation of Reaction Diffusion Equation Arising in Oil Price Modeling

Mathematics
Consideration is given to a reaction–diffusion free boundary value problem with one or two turning points arising in oil price modeling. First, an exact (analytical) solution to the reduced problem (i.e., no diffusion term) was obtained for some given ...
Fehaid Salem Alshammari
doaj   +1 more source

Numerical Solution of a Free Boundary Problem from Heat Transfer by the Second Kind Chebyshev Wavelets [PDF]

Journal of Sciences, Islamic Republic of Iran, 2019
In this paper we reduce a free boundary problem from heat transfer to a weakly Singular Volterra  integral equation of the first kind. Since the first kind integral equation is ill posed, and an appropriate method for such ill posed problems is based on ...
Bahman Babayar-Razlighi
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Application of the Chebyshev collocation method to solve boundary value problems of heat conduction

Discrete and Continuous Models and Applied Computational Science
For one-dimensional inhomogeneous (with respect to the spatial variable) linear parabolic equations, a combined approach is used, dividing the original problem into two subproblems.
Konstantin P. Lovetskiy, Stepan V. Sergeev, Dmitry S. Kulyabov, Leonid A. Sevastianov   +3 more
doaj   +1 more source