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Second-order cone programming : ウィキペディア英語版 | Second-order cone programming
A second-order cone program (SOCP) is a convex optimization problem of the form :minimize :subject to :: :: where the problem parameters are , and . Here is the optimization variable. 〔}〕 When for , the SOCP reduces to a linear program. When for , the SOCP is equivalent to a convex quadratically constrained linear program. Quadratically constrained quadratic programs can also be formulated as SOCPs by reformulating the objective function as a constraint. Semidefinite programming subsumes SOCPs as the SOCP constraints can be written as linear matrix inequalities (LMI) and can be reformulated as an instance of semi definite program. SOCPs can be solved with great efficiency by interior point methods. ==Example: Quadratic constraint== Consider a quadratic constraint of the form : This is equivalent to the SOC constraint :
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