• 제목/요약/키워드: exponent of convergence

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Γ-CONVERGENCE FOR AN OPTIMAL DESIGN PROBLEM WITH VARIABLE EXPONENT

  • HAMDI ZORGATI
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제27권4호
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    • pp.296-310
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    • 2023
  • In this paper, we derive the Γ-limit of functionals pertaining to some optimal material distribution problems that involve a variable exponent, as the exponent goes to infinity. In addition, we prove a relaxation result for supremal optimal design functionals with respect to the weak-∗ L(Ω; [0, 1])× W1,p0 (Ω;ℝm) weak topology.

ANGULAR DISTRIBUTION OF SOLUTIONS OF HIGHER ORDER LINEAR DIFFERENTIAL EQUATIONS

  • Wu, Zhaojun;Sun, Daochun
    • 대한수학회지
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    • 제44권6호
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    • pp.1329-1338
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    • 2007
  • In this paper, we study the location of zeros and Borel direction for the solutions of linear homogeneous differential equations $$f^{(n)}+A_{n-1}(z)f^{(n-1)}+{\cdots}+A_1(z)f#+A_0(z)f=0$$ with entire coefficients. Results are obtained concerning the rays near which the exponent of convergence of zeros of the solutions attains its Borel direction. This paper extends previous results due to S. J. Wu and other authors.

ON ZEROS AND GROWTH OF SOLUTIONS OF SECOND ORDER LINEAR DIFFERENTIAL EQUATIONS

  • Kumar, Sanjay;Saini, Manisha
    • 대한수학회논문집
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    • 제35권1호
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    • pp.229-241
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    • 2020
  • For a second order linear differential equation f" + A(z)f' + B(z)f = 0, with A(z) and B(z) being transcendental entire functions under some restrictions, we have established that all non-trivial solutions are of infinite order. In addition, we have proved that these solutions, with a condition, have exponent of convergence of zeros equal to infinity. Also, we have extended these results to higher order linear differential equations.

Chaotic Predictability for Time Series Forecasts of Maximum Electrical Power using the Lyapunov Exponent

  • Park, Jae-Hyeon;Kim, Young-Il;Choo, Yeon-Gyu
    • Journal of information and communication convergence engineering
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    • 제9권4호
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    • pp.369-374
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    • 2011
  • Generally the neural network and the Fuzzy compensative algorithms are applied to forecast the time series for power demand with the characteristics of a nonlinear dynamic system, but, relatively, they have a few prediction errors. They also make long term forecasts difficult because of sensitivity to the initial conditions. In this paper, we evaluate the chaotic characteristic of electrical power demand with qualitative and quantitative analysis methods and perform a forecast simulation of electrical power demand in regular sequence, attractor reconstruction and a time series forecast for multi dimension using Lyapunov Exponent (L.E.) quantitatively. We compare simulated results with previous methods and verify that the present method is more practical and effective than the previous methods. We also obtain the hourly predictability of time series for power demand using the L.E. and evaluate its accuracy.

LOCAL HOLDER PROPERTY AND ASYMPTOTIC SELF-SIMILAR PROCESS

  • Kim, Joo-Mok
    • Journal of applied mathematics & informatics
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    • 제12권1_2호
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    • pp.385-393
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    • 2003
  • Let Y(t) be a stochastic integral process represented by Brownian motion. We show that YHt (t) is continuous in t with probability one for Molder function Ht of exponent ${\beta}$ and finally we derive asymptotic self-similar process YM (t) which converges to Yw (t).

Passive Millimeter-Wave Image Deblurring Using Adaptively Accelerated Maximum Entropy Method

  • Singh, Manoj Kumar;Kim, Sung-Hyun;Kim, Yong-Hoon;Tiwary, U.S.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.414-417
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    • 2007
  • In this paper we present an adaptive method for accelerating conventional Maximum Entropy Method (MEM) for restoration of Passive Millimeter-Wave (PMMW) image from its blurred and noisy version. MEM is nonlinear and its convergence is very slow. We present a new method to accelerate the MEM by using an exponent on the correction ratio. In this method the exponent is computed adaptively in each iteration, using first-order derivatives of deblurred image in previous two iterations. Using this exponent the accelerated MEM emphasizes speed at the beginning stages and stability at later stages. In accelerated MEM the non-negativity is automatically ensured and also conservation of flux without additional computation. Simulation study shows that the accelerated MEM gives better results in terms of RMSE, SNR, moreover, it takes only about 46% lesser iterations than conventional MEM. This is also confirmed by applying this algorithm on actual PMMW image captured by 94 GHz mechanically scanned radiometer.

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두 개의 balanced subset을 이용한 효율성 개선 (Efficiency Improvement Using Two Balanced Subsets)

  • 김홍태
    • 융합보안논문지
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    • 제18권1호
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    • pp.13-18
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    • 2018
  • 암호시스템에서 효율성은 매우 중요한 요소 중의 하나이다. 천정희 외 3인은 이산대수 문제에 기반하는 암호 시스템에서 지수승 연산 속도를 높이기 위해 새로운 지수 형태를 제안하였다. 제안된 변형은 고정된 원소 ${\alpha}$와 작은 해밍 웨이트를 가지는 두 원소 $e_1$, $e_2$에 대해 $e_1+{\alpha}e_2$로 표현되며 스플릿 지수라 불린다. 그들은 $e_1$, $e_2$를 각각 $Z_p$의 부분집합이면서 언밸런스드 부분집합인 $S_1$, $S_2$에서 선택하였다. 본 논문에서는 $S_1$, $S_2$$Z_p$의 부분집합이면서 밸런스드 부분집합이 되도록 하여 효율성을 개선한다. 결과적으로, 이진 유한체에서의 지수승 연산 속도는 9.1%, 코블리츠 곡선에서의 스칼라 곱셈 연산 속도는 12.1% 빨라진다.

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RADIAL OSCILLATION OF LINEAR DIFFERENTIAL EQUATION

  • Wu, Zhaojun
    • 대한수학회보
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    • 제49권5호
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    • pp.911-921
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    • 2012
  • In this paper, the radial oscillation of the solutions of higher order homogeneous linear differential equation $$f^{(k)}+A_{n-2}(z)f^{(k-2)}+{\cdots}+A_1(z)f^{\prime}+A_0(z)f=0$$ with transcendental entire function coefficients is studied. Results are obtained to extend some results in [Z. Wu and D. Sun, Angular distribution of solutions of higher order linear differential equations, J. Korean Math. Soc. 44 (2007), no. 6, 1329-1338].

A NOTE ON MEROMORPHIC SOLUTIONS OF COMPLEX DIFFERENTIAL-DIFFERENCE EQUATIONS

  • Qi, Xiaoguang;Yang, Lianzhong
    • 대한수학회보
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    • 제56권3호
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    • pp.597-607
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    • 2019
  • In this article, we consider properties of transcendental meromorphic solutions of the complex differential-difference equation $$P_n(z)f^{(n)}(2+{\eta}_n)+{\cdots}+P_1(z)f^{\prime}(z+{\eta}_1)+P_0(z)f(z+{\eta}_0)=0$$, and its non-homogeneous equation. Our results extend earlier results by Liu et al. [9].