A second-order cone program has a linear objective and affine constraints taking values in products of second-order cones and nonnegative orthants. Norm epigraphs have the form ; quadratic epigraphs admit the affine lift , equivalent to . Product-cone self-concordant barriers give interior-point methods.
The objective has the exact lift with , , and . Every lifted feasible value bounds the original objective, and choosing tight epigraph variables proves equality. The product-cone barrier parameter is : two for each Lorentz block and one for each orthant slack. The fidelity norm remains unsquared, and negative derivatives remain unpenalized.
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Second-order cone programming (SOCP) is a type of convex optimization problem that generalizes linear programming and is closely related to quadratic programming.