• 제목/요약/키워드: Mathematical Programming

검색결과 533건 처리시간 0.031초

융합 수업 프로그램에서 나타나는 초등 수학 영재들의 수학적 창의성과 컴퓨팅 사고 분석 (An Analysis on the Mathematical Creativity and Computational Thinking of Elementary School Mathematical Gifted Students in the Convergence Class Programs)

  • 강주영;김동화;서혜애
    • East Asian mathematical journal
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    • 제38권4호
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    • pp.463-496
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    • 2022
  • The purpose of this study is to analyze the mathematical creativity and computational thinking of mathematically gifted elementary students through a convergence class using programming and to identify what it means to provide the convergence class using Python for the mathematical creativity and computational thinking of mathematically gifted elementary students. To this end, the content of the nine sessions of the Python-applied convergence programs were developed, exploratory and heuristic case study was conducted to observe and analyze the mathematical creativity and computational thinking of mathematically gifted elementary students. The subject of this study was a single group of sixteen students from the mathematics and science gifted class, and the content of the nine sessions of the Python convergence class was recorded on their tablets. Additional data was collected through audio recording, observation. In fact, in order to solve a given problem creatively, students not only naturally organized and formalized existing mathematical concepts, mathematical symbols, and programming instructions, but also showed divergent thinking to solve problems flexibly from various perspectives. In addition, students experienced abstraction, iterative thinking, and critical thinking through activities to remove unnecessary elements, extract key elements, analyze mathematical concepts, and decompose problems into small components, and math gifted students showed a sense of achievement and challenge.

ON SYMMETRIC DUALITY IN NONDIFFERENTIABLE MATHEMATICAL PROGRAMMING WITH F-CONVEXITY

  • AHMAD I.;HUSAIN Z.
    • Journal of applied mathematics & informatics
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    • 제19권1_2호
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    • pp.371-384
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    • 2005
  • Usual symmetric duality results are proved for Wolfe and Mond-Weir type nondifferentiable nonlinear symmetric dual programs under F-convexity F-concavity and F-pseudoconvexity F-pseudoconcavity assumptions. These duality results are then used to formulate Wolfe and Mond-Weir type nondifferentiable minimax mixed integer dual programs and symmetric duality theorems are established. Moreover, nondifferentiable fractional symmetric dual programs are studied by using the above programs.

Fuzzy Goal Programming을 이용한 최적 검사 정책 (Optimal Inspection Policy By Fuzzy Goal Programming)

  • 유정상
    • 산업경영시스템학회지
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    • 제18권34호
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    • pp.185-191
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    • 1995
  • In this research, a mathematical programming model is developed for the economic modeling of sampling plans based on two evaluation criteria : the outgoing quality and the average total inspection cost A fuzzy goal programming model and its solution procedure are proposed for the managers whose management objectives on the two evaluation criteria are not rigorous. To study the sensitivity of quality characteristic dependence on the resulting inspection plans, a numerical example is solved several times for a dependent model.

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LINEAR PROGRAMMING APPROACH IN COOPERATIVE GAMES

  • Victor V.Zakharov;Kwon, O-Hun
    • 대한수학회지
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    • 제34권2호
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    • pp.469-481
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    • 1997
  • In this paper we consider TU-cooperative games in the form of characteristic function. We notice that if one uses the necessary and sufficient condition for the core to be not empty in a dual form, it may be used for selecting the final outcome in the core. Using the linear programming approach for constructing the subcore, which is a subset of the core, we represent it in a simple form. We consider reduced games due to Davis-Mashler, Moulin and Funaki and formulate the sufficient conditions for the subcore to be S-consistent.

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NONDIFFERENTIABLE SECOND-ORDER MINIMAX MIXED INTEGER SYMMETRIC DUALITY

  • Gulati, Tilak Raj;Gupta, Shiv Kumar
    • 대한수학회지
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    • 제48권1호
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    • pp.13-21
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    • 2011
  • In this paper, a pair of Wolfe type nondifferentiable sec-ond order symmetric minimax mixed integer dual problems is formu-lated. Symmetric and self-duality theorems are established under $\eta_1$-bonvexity/$\eta_2$-boncavity assumptions. Several known results are obtained as special cases. Examples of such primal and dual problems are also given.

An Optimal Scheme of Inclusion Probability Proportional to Size Sampling

  • Kim Sun Woong
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.181-189
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    • 2005
  • This paper suggest a method of inclusion probability proportional to size sampling that provides a non-negative and stable variance estimator. The sampling procedure is quite simple and flexible since a sampling design is easily obtained using mathematical programming. This scheme appears to be preferable to Nigam, Kumar and Gupta's (1984) method which uses a balanced incomplete block designs. A comparison is made with their method through an example in the literature.

SOME ALGORITHMS OF THE BEST SIMULTANEOUS APPROXIMATION

  • Rhee, Hyang J.
    • 충청수학회지
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    • 제22권2호
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    • pp.141-148
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    • 2009
  • We consider various algorithms calculating best onesided simultaneous approximations. We assume that X is a compact subset of $\mathbb{R}^{m}$ satisfying $X=\overline{intX}$, S is an n-dimensional subspace of C(X), and $\mu$ is any 'admissible' measure on X. For any l-tuple $f_1,\;{\cdots},\;f_{\ell}$ in C(X), we present various ideas for best approximation to F from S(F). The problem of best (both one and two-sided) approximation is a linear programming problem.

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OPTIMAL CONSUMPTION, PORTFOLIO, AND LIFE INSURANCE WITH BORROWING CONSTRAINT AND RISK AVERSION CHANGE

  • Lee, Ho-Seok
    • 충청수학회지
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    • 제29권2호
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    • pp.375-383
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    • 2016
  • This paper investigates an optimal consumption, portfolio, and life insurance strategies of a family when there is a borrowing constraint and risk aversion change at the time of death of the breadwinner. A CRRA utility is employed and by using the dynamic programming method, we obtain analytic expressions for the optimal strategies.

Solving a New Multi-Period Multi-Objective Multi-Product Aggregate Production Planning Problem Using Fuzzy Goal Programming

  • Khalili-Damghani, Kaveh;Shahrokh, Ayda
    • Industrial Engineering and Management Systems
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    • 제13권4호
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    • pp.369-382
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    • 2014
  • This paper introduces a new multi-product multi-period multi-objective aggregate production planning problem. The proposed problem is modeled using multi-objective mixed-integer mathematical programming. Three objective functions, including minimizing total cost, maximizing customer services level, and maximizing the quality of end-product, are considered, simultaneously. Several constraints such as quantity of production, available time, work force levels, inventory levels, backordering levels, machine capacity, warehouse space and available budget are also considered. Some parameters of the proposed model are assumed to be qualitative and modeled using fuzzy sets. Then, a fuzzy goal programming approach is proposed to solve the model. The proposed approach is applied on a real-world industrial case study of a color and resin production company called Teiph-Saipa. The approach is coded using LINGO software. The efficacy and applicability of the proposed approach are illustrated in the case study. The results of proposed approach are compared with those of the existing experimental methods used in the company. The relative dominance of the proposed approach is revealed in comparison with the experimental method. Finally, a data dictionary, including the way of gathering data for running the model, is proposed in order to facilitate the re-implementation of the model for future development and case studies.

설치비와 피해액의 정형화를 통한 화재 시뮬레이션 및 수리계획법에 기반을 한 스프링클러의 배치 최적화 (Sprinkler Layout Optimization Based on Fire Simulation and Mathematical Programming including Installation and Damage Costs)

  • 이기준;신영섭;홍기훈;주기돈;신동일;김태옥
    • 한국가스학회지
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    • 제16권2호
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    • pp.52-59
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    • 2012
  • 본 연구에서는 화재로부터 가장 효과적인 소화설비로 평가받고 있는 스프링클러 시스템에 대해 화재 시뮬레이션과 수리계획법에 기반을 한 최적 배치방법을 제안하였다. 사례연구로, $5.2m(L){\times}5.4m(W){\times}2.4m(H)$ 크기의 일반 주거지 형태를 대상공간으로 설정하고, 부주의로 폴리우레탄 소재의 소파에 불이 인화되어 화재가 전이되는 시나리오를 구성하였다. 그리고 스프링클러의 종류와 개수에 따른 소화속도, 온도변화, 표면 열방출률을 시뮬레이션을 통해 분석하고, 공간 균등배분 방법으로 설치된 스프링클러의 설치비와 화재 피해액의 정형화를 바탕으로, 수리계획법을 이용하여 최적 소화성능의 스프링클러 배치시스템을 얻을 수 있었다.