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  1. 1

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

    Publié 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

    Publié 1989
    Livre

    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. par Van Thoai, Nguyen

    Publié 1985
    Livre

    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

    Publié 1985
    Livre

    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 par Danao, Rolando A. 1938-

    Publié 1978
    Download the full-text here
    Livre

    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 par Danao, Rolando A. 1938-

    Publié 1978
    Livre

    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 par Danao, Rolando A.

    Publié 1978
    Livre

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

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