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Preface
1 Introduction I Theory 2 Convex sets 3 Convex functions 4 Convex optimization problems 5 Duality II Applications 6 Approximation and fitting 7 Statistical estimation 8 Geometric problems III Algorithms 9 Unconstrained minimization 10 Equality constrained minimization 11 Interior-point methods App. A: Mathematical background App. B Problems involving two quadratic functions App. C Numerical linear algebra background References Notation Index |