• 제목/요약/키워드: Quadratic function

검색결과 792건 처리시간 0.034초

On a pole assignment of linear discrete time system

  • Shin, Jae-Woong;Shimemura, Etsujiro;Kawasaki, Naoya
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.884-889
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    • 1989
  • In this paper, a new procedure for selecting weighting matrices in linear discrete time quadratic optimal control problem (LQ-problem) is proposed. In LQ-problems, the quadratic weighting matrices are usually decided on trial and error in order to get a good response. But using the proposed method, the quadratic weights are decided in such a way that all poles of the closed loop system are located in a desired region for good responses as well as for stability and values of the quadratic cost function are kept less then a specified value.

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A SOLVER FOR LARGE-SCALE INDEFINITE QUADRATIC PROGRAMS

  • Oh, Se-Young
    • Journal of applied mathematics & informatics
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    • 제6권3호
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    • pp.735-746
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    • 1999
  • Based on an active set strategy a method for solving lin-early constrained indefinite quadratic programs to solve the correspond-ing system of equations at each iteration is presented. The algorithm takes two descent directions to strictly decrease the value of objective function and obtains a suitable step to maintain feasibility. Computa-tional results on a range of quadratic test problems are given.

ON DUALITY FOR NONCONVEX QUADRATIC OPTIMIZATION PROBLEMS

  • Kim, Moon-Hee
    • East Asian mathematical journal
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    • 제27권5호
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    • pp.539-543
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    • 2011
  • In this paper, we consider an optimization problem which consists a nonconvex quadratic objective function and two nonconvex quadratic constraint functions. We formulate its dual problem with semidefinite constraints, and we establish weak and strong duality theorems which hold between these two problems. And we give an example to illustrate our duality results. It is worth while noticing that our weak and strong duality theorems hold without convexity assumptions.

A Study on the Multiresponse Robust Design using Loss Function

  • Kwon, Yong-Man;Chang, Duk-Joon
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2005년도 춘계학술대회
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    • pp.1-6
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    • 2005
  • In this paper we propose how to simultaneously optimize multiple responses for robust design when data are collected from a combined array. The proposed method is based on the quadratic loss function. An example is illustrated to show the proposed method.

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작업 완료시간의 2차벌과금함수를 최소화하는 알고리즘에 관한 연구 (Optimal Scheduling Algorithm for Minimizing the Quadratic Penalty Function of Completion Times)

  • 노인규;이정환
    • 산업경영시스템학회지
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    • 제13권22호
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    • pp.35-42
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    • 1990
  • This paper deals with a single machine scheduling problem with a quadratic penalty function of completion times. The objective is to find a optimal sequence which minimizes the total penalty. A new type of node elimination procedure and precedence relation is developed that determines the ordering between adjacent jobs and is incorporated into a branch and bound algorithm. In addition, modified penalty function is considered and numerical examples are provided to test the effectiveness of the optimum algorithm.

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Multiclass Support Vector Machines with SCAD

  • Jung, Kang-Mo
    • Communications for Statistical Applications and Methods
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    • 제19권5호
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    • pp.655-662
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    • 2012
  • Classification is an important research field in pattern recognition with high-dimensional predictors. The support vector machine(SVM) is a penalized feature selector and classifier. It is based on the hinge loss function, the non-convex penalty function, and the smoothly clipped absolute deviation(SCAD) suggested by Fan and Li (2001). We developed the algorithm for the multiclass SVM with the SCAD penalty function using the local quadratic approximation. For multiclass problems we compared the performance of the SVM with the $L_1$, $L_2$ penalty functions and the developed method.

Improved Estimation of Poisson Menas under Balanced Loss Function

  • Chung, Younshik
    • Communications for Statistical Applications and Methods
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    • 제7권3호
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    • pp.767-772
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    • 2000
  • Zellner(1994) introduced the notion of a balanced loss function in the context of a general liner model to reflect both goodness of fit and precision of estimation. We study the perspective of unifying a variety of results both frequentist and Bayesian from Poisson distributions. We show that frequentist and Bayesian results for balanced loss follow from and also imply related results for quadratic loss functions reflecting only precision of estimation. Several examples are given for Poisson distribution.

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Loss Function Approach to Multiresponse Robust Design

  • Chang, Duk-Joon;Kwon, Yong-Man
    • Journal of the Korean Data and Information Science Society
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    • 제16권2호
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    • pp.255-261
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    • 2005
  • Many designed experiments require the simultaneous optimization of multiple responses. In this paper, we propose how to simultaneously optimize multiple responses for robust design when data are collected from a combined array. The proposed method is based on the quadratic loss function. An example is illustrated to show the proposed method.

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고등학생의 이차함수 표상에서 나타난 그래프 사용 모드 및 표상의 유연성 분석 (An Analysis Modes Related to Use of Graph and Flexibility of Representation Shown in a Quadratic Function Representation of High School Students)

  • 이유빈;조정수
    • 대한수학교육학회지:학교수학
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    • 제18권1호
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    • pp.127-141
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    • 2016
  • 본 연구는 Chauvat의 그래프 사용 모드에 근거하여 고등학교 1학년 학생의 이차함수 문제해결에서 나타나는 그래프 표상의 사용 모드를 분석하고자 한다. 이 분석으로부터 Bannister (2014)의 표상의 유연성을 통해 연구 참여 학생들의 이차함수 이해 정도를 조사하였다. 그 결과 고등학교 1학년 학생들이 주로 사용하는 그래프 표상 모드는 계산 도표학적 모드이며, 조작적 모드를 사용할 경우에는 오류를 발생하는 것을 알 수 있었다. 그리고 함수의 이해를 대상과 과정 관점에서 표상의 사용으로 분류한 Bannister(2014)의 유연성의 분류에서는 과정 관점으로 함수를 이해하고 두 표상 사이에 조작이 일어나지 않는 경직된 형태를 보이는 것으로 나타났다. 이러한 결과를 바탕으로 교실에서 학생들을 위한 그래프 표상 사용에 대한 교육 및 다양한 관점으로 함수를 이해할 수 있는 교수 -학습 방법에 대한 연구가 필요할 것으로 보인다.