Quadratic Programming
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High Quality Content by WIKIPEDIA articles! Quadratic programming (QP) is a special type of mathematical optimization problem. It is the problem of optimizing (minimizing or maximizing) a quadratic function of several variables subject to linear constraints on these variables. The quadratic programming problem can be formulated as: Assume x belongs to mathbb{R}^{n} space. The n×n matrix Q is symmetric, and c is any n×1 vector. Minimize (with respect to x) f(mathbf{x}) = tfrac{1}{2} mathbf{x}^T Qmathbf{x} + mathbf{c}^T mathbf{x}

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High Quality Content by WIKIPEDIA articles! Quadratic programming (QP) is a special type of mathematical optimization problem. It is the problem of optimizing (minimizing or maximizing) a quadratic function of several variables subject to linear constraints on these variables. The quadratic programming problem can be formulated as: Assume x belongs to mathbb{R}^{n} space. The n×n matrix Q is symmetric, and c is any n×1 vector. Minimize (with respect to x) f(mathbf{x}) = tfrac{1}{2} mathbf{x}^T Qmathbf{x} + mathbf{c}^T mathbf{x}