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Pardalos, P. M. , & Vavasis, S. A. . (1991). Quadratic programming with one negative eigenvalue is NP-hard. Journal of Global Optimization, 1, 15–22.

Example 8.10: Quadratic Programming. The quadratic program can be solved by solving an equivalent linear complementarity problem when H is positive semidefinite. The approach is outlined in the ...

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The analysis is then specialized to conic programming and further to quadratic programming (QP) and second-order cone programming (SOCP). A consequence of our analysis is that PDHG is able to diagnose ...

Abstract. Quadratic Programming (QP) is a mathematical modeling technique designed to optimize the usage of limited resources and has been widely applied to solve real world problems. In conventional ...

Mixed-integer quadratic programming (MIQP) is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral. In this paper, ...

The economic dispatch problem is formulated as a quadratic programming problem and solved using Wolfe's algorithm. The method is capable of handling both equality and inequality constraints on p, q, ...

Reactive kinematic control in velocity space is closely related to the Jacobian presented in the system. However, if the Jacobian is rank-deficient, certain task-space velocities become unachievable, ...