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An algorithm for the quadratic approximation [PDF]
Journal of Computational and Applied Mathematics, 1984 Given f, the polynomials \(p\in \Pi_{\ell}\), \(q\in \Pi_ m\), \(r\in \Pi_ n\) are called a quadratic approximation, if \(pf^ 2+qf+r=O(x^{\ell +m+n+2})\). This concept generalizes Padé approximation. Similar recursion formulas for the polynomials are established. Specifically, an analogue of the Mühlbach-Neville-Aitken scheme is discussed. An algorithm
McInnes, A. W., Loi, S.L.
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Approximation of the Quadratic Knapsack Problem [PDF]
Operations Research Letters, 2016 We study the approximability of the classical quadratic knapsack problem (QKP) on special graph classes. In this case the quadratic terms of the objective function are not given for each pair of knapsack items. Instead, an edge weighted graph, whose vertices represent the knapsack items, induces a quadratic profit for every pair of items, which is ...
Richard Taylor
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Approximation on the Quadratic Reciprocal Functional Equation [PDF]
Journal of Function Spaces, 2014 The quadratic reciprocal functional equation is introduced. The Ulam stability problem for an ϵ-quadratic reciprocal mapping f:X→Y between nonzero real numbers is solved.
Abasalt Bodaghi, Sang Og Kim
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Let Us Transform Traits Before Aggregating Them! [PDF]
Ecology and EvolutionTrait values are often log‐transformed during the analyses. When measurements are aggregated at the species level, it matters whether we transform the values before or after aggregation.
Zoltán Botta‐Dukát
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Universal approximation with quadratic deep networks
Neural Networks, 2020 Recently, deep learning has achieved huge successes in many important applications. In our previous studies, we proposed quadratic/second-order neurons and deep quadratic neural networks. In a quadratic neuron, the inner product of a vector of data and the corresponding weights in a conventional neuron is replaced with a quadratic function.
Fenglei Fan, Jinjun Xiong, Ge Wang
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Approximation of the Quadratic Set Covering problem
Discrete Optimization, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bruno Escoffier, Peter L Hammer
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IMPLEMENTATION OF QUADRATIC AXIAL TRIAL FUNCTIONS IN THE HIGH-FIDELITY TRANSPORT CODE PROTEUS-MOC [PDF]
EPJ Web of Conferences, 2021 PROTEUS-MOC is a pin-resolved high-fidelity transport code, in which the axial variation of angular flux is represented in terms of orthogonal polynomials.
Zhang Guangchun, Yang Won Sik
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Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness [PDF]
Computational Algorithms and Numerical Dimensions, 2023 The current study investigates a two-machine Flow Shop Scheduling (FSS) problem with piecewise quadratic fuzzy processing time. It is illogical to consider that the processing time is exact but uncertain because it varies due to human factors. One of the
Hamiden Khalifa
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Per-pixel displacement mapping using cone tracing with correct silhouette [PDF]
Journal of Graphic Engineering and Design, 2021 Per-pixel displacement mapping is a texture mapping technique that adds the microrelief effect to 3D surfaces without increasing the density of their corresponding meshes.
Adnane Ouazzani Chahdi +3 more
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Stability Analysis of Recurrent-Neural-Based Controllers Using Dissipativity Domain
Mathematics, 2023 This paper proposes a method for the stability analysis of dynamic neural networks. The stability analysis of dynamic neural networks is a challenging task due to internal feedback connections.
Reza Jafari
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