• 제목/요약/키워드: special class

검색결과 711건 처리시간 0.026초

GENERALIZED STRONGLY NONLINEAR QUASI-VARIATIONAL INEQUALITIES

  • Jeong, Jae-Ug
    • Journal of applied mathematics & informatics
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    • 제6권1호
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    • pp.253-264
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    • 1999
  • In this paper we introduce and study a new class of vari-ational inequalities which are called the generalized strongly nonlin-ear quasi-variational inequalities. An algorithm for finding the ap-proximate solution of generalized strongly nonlinear quasi-variational inequalities is also given. These variational inequalities include the previously known classes of variational inequalities as special cases.

RESOLVENT DYNAMICAL SYSTEMS FOR MIXED VARIATIONAL INEQUALITIES

  • Muhammad, Aslan-Noor
    • Journal of applied mathematics & informatics
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    • 제9권1호
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    • pp.15-26
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    • 2002
  • In this paper, we suggest and analyze a class of resolvent dynamical systems associated with mixed variational inequalities. We study the globally asymptotic stability of the solution of the resolvent dynamical systems for the pseudomonotone operators. We also discuss some special cases, which can be obtained from our main results.

On the Equivalance of Some Fixed Point Iterations

  • Ozdemir, Murat;Akbulut, Sezgin
    • Kyungpook Mathematical Journal
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    • 제46권2호
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    • pp.211-217
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    • 2006
  • In this paper, we have shown that the convergence of one-step, two-step and three-step iterations is equivalent, which are known as Mann, Ishikawa and Noor iteration procedures, for a special class of Lipschitzian operators defined in a closed, convex subset of an arbitrary Banach space.

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다집단 분류 인공신경망 모형의 아키텍쳐 튜닝 (Tuning the Architecture of Neural Networks for Multi-Class Classification)

  • 정철우;민재형
    • 한국경영과학회지
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    • 제38권1호
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    • pp.139-152
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    • 2013
  • The purpose of this study is to claim the validity of tuning the architecture of neural network models for multi-class classification. A neural network model for multi-class classification is basically constructed by building a series of neural network models for binary classification. Building a neural network model, we are required to set the values of parameters such as number of hidden nodes and weight decay parameter in advance, which draws special attention as the performance of the model can be quite different by the values of the parameters. For better performance of the model, it is absolutely necessary to have a prior process of tuning the parameters every time the neural network model is built. Nonetheless, previous studies have not mentioned the necessity of the tuning process or proved its validity. In this study, we claim that we should tune the parameters every time we build the neural network model for multi-class classification. Through empirical analysis using wine data, we show that the performance of the model with the tuned parameters is superior to those of untuned models.

방과후학교의 유형과 학습몰입 정도에 따른 중학생의 방과후학교 교육만족도 차이 (Differences in After School Education Satisfaction according to the Types and the Degree of Learning Flow of After School in Middle School Student)

  • 신현아;장윤옥
    • 한국콘텐츠학회논문지
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    • 제11권8호
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    • pp.499-511
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    • 2011
  • 본 논문은 방과후학교의 유형과 학습몰입 정도에 따른 중학생의 방과후학교 교육만족도의 차이를 분석하면서 방과후학교의 유형과 학습몰입 정도에 상호작용 효과가 있는지를 살펴보는데 그 목적이 있다. 연구의 대상은 중학교 1,2,3학년 382명이며, 조사도구로는 연구대상자의 일반적 특성, 수강한 방과후학교 수업의 일반적 특성, 그리고 학습몰입 척도와 방과후학교 교육만족도 척도로 구성된 질문지를 사용하였다. 구체적인 연구문제를 검증하기 위하여 다변량분산분석(MANOVA)을 사용한 결과 방과후학교 특기 적성수업을 수강한 중학생들이 교과수업을 수강한 중학생들보다 방과후학교 지도교사만족도가 높은 것으로 나타났으며, 학습몰입 정도가 높은 중학생들이 학습몰입 정도가 낮은 중학생들보다 방과후학교 교육과정, 지도교사, 교육시설만족도가 모두 높은 것으로 나타났다. 그리고 학습몰입 정도가 높은 중학생들에 있어서는 특기 적성수업을 수강한 중학생들이 교과수업을 수강한 학생들보다 방과후학교 교육과정과 교육시설만족도가 높았으며, 학습몰입 정도가 낮은 중학생들에 있어서는 교과수업을 수강한 학생들과 특기 적성수업을 수강한 중학생들 간에 방과후학교 교육과정과 교육시설만족도에 유의한 차이가 나타나지 않았다.

A SMOOTHING NEWTON METHOD FOR NCP BASED ON A NEW CLASS OF SMOOTHING FUNCTIONS

  • Zhu, Jianguang;Hao, Binbin
    • Journal of applied mathematics & informatics
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    • 제32권1_2호
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    • pp.211-225
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    • 2014
  • A new class of smoothing functions is introduced in this paper, which includes some important smoothing complementarity functions as its special cases. Based on this new smoothing function, we proposed a smoothing Newton method. Our algorithm needs only to solve one linear system of equations. Without requiring the nonemptyness and boundedness of the solution set, the proposed algorithm is proved to be globally convergent. Numerical results indicate that the smoothing Newton method based on the new proposed class of smoothing functions with ${\theta}{\in}(0,1)$ seems to have better numerical performance than those based on some other important smoothing functions, which also demonstrate that our algorithm is promising.

{M_1},{M_2}/M/1$ RETRIAL QUEUEING SYSTEMS WITH TWO CLASSES OF CUSTOMERS AND SMART MACHINE

  • Han, Dong-Hwan;Park, Chul-Geun
    • 대한수학회논문집
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    • 제13권2호
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    • pp.393-403
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    • 1998
  • We consider $M_1,M_2/M/1$ retrial queues with two classes of customers in which the service rates depend on the total number or the customers served since the beginning of the current busy period. In the case that arriving customers are bloced due to the channel being busy, the class 1 customers are queued in the priority group and are served as soon as the channel is free, whereas the class 2 customers enter the retrical group in order to try service again after a random amount of time. For the first $N(N \geq 1)$ exceptional services model which is a special case of our model, we derive the joint generating function of the numbers of customers in the two groups. When N = 1 i.e., the first exceptional service model, we obtain the joint generating function explicitly and if the arrival rate of class 2 customers is 0, we show that the results for our model coincide with known results for the M/M/1 queues with smart machine.

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홍정하의 구일집의 저술에 관하여 - 홍정하 탄생 330주년을 기념하며 - (On the publication of Hong JeongHa's GuIlJib)

  • 이상욱;고영미
    • 한국수학사학회지
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    • 제28권5호
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    • pp.233-248
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    • 2015
  • Year 2014 was very special to Korean mathematical society. Year 2014 was the Mathematical Year of Korea, and the International Congress of Mathematicians "ICM 2014" was held in Seoul, Korea. The year 2014 was also the 330th anniversary year of the birth of Joseon mathematician Hong JeongHa. He is one of the best, in fact the best, of Joseon mathematicians. So it is worth celebrating his birth. Joseon dynasty adopted a caste system, according to which Hong JeongHa was not in the higher class, but in the lower class of the Joseon society. In fact, he was a mathematician, a middle class member, called Jungin, of the society. We think over how Hong JeongHa was able to write his mathematical book GuIlJib in Joseon dynasty.

중형 컨테이너선의 선형 및 추진기 개발 사례 (Development of Hull Form and Propeller for Medium Class Container Vessel)

  • 이창훈;정승규;최영달;임효관
    • 대한조선학회 특별논문집
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    • 대한조선학회 2005년도 특별논문집
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    • pp.57-62
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    • 2005
  • STX shipbuilding Co,. Ltd. has been developed a hull form and propeller of medium class container vessel. The present paper deals with numerical calculations and experimental tests for the investigation of wave resistance, viscous resistance and propeller. The characteristics of wave resistance and self propulsion factors are varied in order to find an optimized hull form. The measured results have been compared with computed results by 'WAVIS' The prediction of the caviation occurrence was predicted by 'Opti-pro' and measurement is performed in KRISO.

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