The CVX Users’ Guide

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The CVX Users GuideRelease C. Grant, Stephen P. BoydCVX Research, 26, 2017CONTENTS1 is CVX? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . is disciplined convex programming? . . . . . . . . . . . . . . . . . . . . . . . . . . CVX isnot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .32 platforms.

9 Reference guide 51 ... (LPs/QPs), second-order cone programs (SOCPs), and semidefinite programs (SDPs). CVX can also solve much more complex ... and construction of optimization problems that the user intends from the outset to be convex.

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