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  1. 1

    Convex optimization of power systems по Taylor, Joshua Adam 1983-

    Опубликовано 2018
    Available for University of the Philippines Diliman College of Engineering via eTextbooks under Cambridge Platform. Click here to access
    Electronic Resource

    Convex optimization of power systems
  2. 2

    Optimization proceedings of the Fifth French-German Conference held in Castel-Novel (Varetz), France, Oct. 3-8, 1988

    Опубликовано 1989
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    Optimization proceedings of the Fifth French-German Conference held in Castel-Novel (Varetz), France, Oct. 3-8, 1988
  3. 3

    On convex programming problems with additional constraint of complementarity type. по Van Thoai, Nguyen

    Опубликовано 1985
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    On convex programming problems with additional constraint of complementarity type.
  4. 4

    Convexity and duality in optimization proceedings of the Symposium on Convexity and Duality in Optimization held at the University of Groningen, the Netherlands, June 22, 1984

    Опубликовано 1985
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    Convexity and duality in optimization proceedings of the Symposium on Convexity and Duality in Optimization held at the University of Groningen, the Netherlands, June 22, 1984
  5. 5

    The linear complementarity problem solving linear and convex quadratic programming problems by Lemke's algorithm по Danao, Rolando A. 1938-

    Опубликовано 1978
    Download the full-text here
    ‌

    The linear complementarity problem solving linear and convex quadratic programming problems by Lemke's algorithm
  6. 6

    The linear complementarity problem solving linear and convex quadratic programming problems by Lemke's algorithm по Danao, Rolando A. 1938-

    Опубликовано 1978
    ‌

    The linear complementarity problem solving linear and convex quadratic programming problems by Lemke's algorithm
  7. 7

    The linear complementarity problem solving linear and convex quadratic programming problems by Lemke's algorithm по Danao, Rolando A.

    Опубликовано 1978
    ‌

    The linear complementarity problem solving linear and convex quadratic programming problems by Lemke's algorithm

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