• Algebraic dependences of meromorphic mappings sharing moving hyperplanes without counting multiplicitiesAlgebraic dependences of meromorphic mappings sharing moving hyperplanes without counting multiplicities

    The above results are the best results on the algebraic dependences of meromorphic mappings sharing moving hyperplanes available at the present. Actually, there are many authors consider the multiple values for meromorphic mappings sharing hyperplanes, i.e., consider only the intersecting points of the mappings fi and the hyperplanes aj with the...

    pdf9 trang | Chia sẻ: thanhle95 | Ngày: 14/07/2021 | Lượt xem: 254 | Lượt tải: 0

  • Regularity of ideals associated with a complete graph in two weights (2,1)Regularity of ideals associated with a complete graph in two weights (2,1)

    Theorem 3.1. With the above notations, then we have the following assertions (1) If G is the empty set, then a2(R/I) = 0. (2) If G is a union of disjoint edges, then a2(R/I) = 1. (3) If G does not contain any triangles and G has at least two distinct edges which have a common vertex, then a2(R/I) = 2. (4) If G contains at least a triangle, the...

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  • Some runge-kutta algorithms with error control and variable stepsizes for solving a class of differentialalgebraic equationsSome runge-kutta algorithms with error control and variable stepsizes for solving a class of differentialalgebraic equations

    Abstract: In this paper, we propose and discuss numerical algorithms for solving a class of nonlinear differential-algebraic equations (DAEs). These algorithms are based on half-explicit Runge-Kutta methods (HERK) that have been studied recently for solving strangeness-free DAEs. The main idea of this work is to use the half-explicit variants of...

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  • A comparison theorem for stability of linear stochastic implicit difference equations of Index-1A comparison theorem for stability of linear stochastic implicit difference equations of Index-1

    LSIDEs is generalization of linear stochastic difference equations, which have been well investigated in the literature, see [1-4]. They arise as mathematical models in various fields such as population dynamics, economics, electronic circuit systems or multibody mechanism systems with random noise (see, e.g. [5-8]. They can also be obtained fro...

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  • ℋ∞ Finite-time boundedness for discrete-time delay neural networks via reciprocally convex approachℋ∞ Finite-time boundedness for discrete-time delay neural networks via reciprocally convex approach

    Abstract: This paper addresses the problem of ℋ∞ finite-time boundedness for discrete-time neural networks with interval-like time-varying delays. First, a delay-dependent finite-time boundedness criterion under the finite-time ℋ ∞ performance index for the system is given based on constructing a set of adjusted Lyapunov–Krasovskii functionals ...

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  • Existence and uniqueness of solutions of some general fuzzy partial hyperbolic functional differential equationsExistence and uniqueness of solutions of some general fuzzy partial hyperbolic functional differential equations

    Abstract. In this paper, we investigate the existence and uniqueness of fuzzy solution for a class of general hyperbolic equations with state-dependent delays. We will prove the well-posedness of problem doesn’t depend on the domain and boundary data as well as initial data. Our method is based on Banach fixed point theorem in completely new we...

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  • Optimization of laminated composite plates for maximum biaxial buckling loadOptimization of laminated composite plates for maximum biaxial buckling load

    Abstract: This paper proposes an optimization procedure for maximization of the biaxial buckling load of laminated composite plates using the gradient-based interior-point optimization algorithm. The fiber orientation angle and the thickness of each lamina are considered as continuous design variables of the problem. The effect of the number of ...

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  • Machine learning representation for atomic forces and energiesMachine learning representation for atomic forces and energies

    Abstract: We present machine learning models for fast estimating atomic forces and energies. In our method, the total energy of a system is approximated as the summation of atomic energy which is the interaction energy with its surrounding chemical environment within a certain cutoff radius. Atomic energy is decomposed into two-body terms which ...

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  • An efficient method for automatic recognizing text fields on identification cardAn efficient method for automatic recognizing text fields on identification card

    Abstract: The problem of optical character and handwriting recognition has been interested by researchers in long time ago. It has obtained great results in theory as well as practical applications. However, the accuracy of identification is still limited, especially in the case of low-quality input images. In this article, we propose an efficie...

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  • Optical back-propagation for nonlinear compensation in OFDM-based long range-passive optical networksOptical back-propagation for nonlinear compensation in OFDM-based long range-passive optical networks

    Abstract: In direct-detection optical OFDM system, the nonlinear impairment is the key factor that limits the system performance. The back-propagation techniques in digital and optical domains have been proposed to compensate the nonlinear effects, however they can be unsuitable for long-range passive optical networks (LR-PONs) due to their impl...

    pdf10 trang | Chia sẻ: thanhle95 | Ngày: 14/07/2021 | Lượt xem: 212 | Lượt tải: 0