Results 61 to 70 of about 27,120 (203)
Consensus Acceleration in Multiagent Systems with the Chebyshev Semi-Iterative Method
, 2011 We consider the fundamental problem of reaching consensus in multiagent systems; an operation required in many applications such as, among others, vehicle formation and coordination, shape formation in modular robotics, distributed target tracking, and ...
Jennings, Nick +2 more
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Some results on generalization $\alpha-$Chebyshev wavelets [PDF]
Journal of Mahani Mathematical ResearchIn this paper, we introduce generalized formulae for well-known functions such as $\alpha$-Chebyshev functions. We define $\alpha-$Chebyshev wavelets approximation and generalization $\alpha-$wavelet coapproximation.
Hamid Mazaheri +2 more
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 +2 more
wiley +1 more source
Non-archimedean Chebyshev centers [PDF]
, 1987 In a recent paper, M.Z.M.C. Soares [3] introduced the concepts of Chebyshev radii and centers in a non-archimedean normed space E and posed some of the main problems in the non-archimedean theory of best simultaneous approximation. In this paper we prove,
Pellón, M.T., Martinez-Maurica, J.
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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 +4 more
wiley +1 more source
On Chebyshev Polynomials, Fibonacci Polynomials, and Their Derivatives
Journal of Applied Mathematics, 2014 We study the relationship of the Chebyshev polynomials, Fibonacci polynomials, and their rth derivatives. We get the formulas for the rth derivatives of Chebyshev polynomials being represented by Chebyshev polynomials and Fibonacci polynomials.
Yang Li
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Some results on complex $(p,q)-$extension $\alpha-$Chebyshev differential equation for $|x| \leq 1$ [PDF]
Journal of Mahani Mathematical ResearchIn this paper, we define complex $(p,q)-$extension $\alpha-$Chebyshev differential equations on $|x|\leq 1$. Our consideration is focused on determining properties of generalized Chebyshev polynomials of the first, second, third and Fourth kind, sparking
S. shojaeian, H. Mazaheri, T.S. Jesmani
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ANPGT: Towards Adaptive Node Property Extraction and Integration
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
wiley +1 more source
Fungsi pembangkit polinomial chebyshev jenis pertama [PDF]
, 2023 Polinomial Chebyshev merupakan polinomial orthogonal yang memiliki banyak jenis karena bentuknya rekursif. Salah satu dan paling mendasar adalah polinomial Chebyshev jenis pertama.
Rustam, Putri Anjani
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Advances in Mathematical Physics, 2017 The second-kind Chebyshev wavelets collocation method is applied for solving a class of time-fractional diffusion-wave equation. Fractional integral formula of a single Chebyshev wavelet in the Riemann-Liouville sense is derived by means of shifted ...
Fengying Zhou, Xiaoyong Xu
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