The Approximate Method of Quadratic Function With Mixed Constraint
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O221.2

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    Abstract:

    A reduced method to solve the problem with equality constraints is given. Based on the reference we use nonlinear equality constraints, the approximate algorithm is obtained. The nonlinear programming of quadratic function with equality and unequality constraints is discussed by Wang kairong. We transform unequality constraints into equality constraints by add to relaxation variable, the quadratic programming is obtained by linear approximation, and approximate calculation is done by means of reduced method. The result of numerical calculation shows the method is feasible.

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王开荣.具有混合约束二次函数的逼近方法[J].重庆大学学报,2004,27(1):131~134

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  • Received:
  • Revised:September 26,2003
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