A toy 2D optimization problem: geometric view via the epigraph form

Consider the toy problem

\min _x 0.9 x_1^2-0.4 x_1 x_2-0.6 x_2^2-6.4 x_1-0.8 x_2:-1 \leq x_1 \leq 2, \quad 0 \leq x_2 \leq 3 .

We can represent the problem in epigraph form, as

\min _{x,t} t \geq 0.9 x_1^2-0.4 x_1 x_2-0.6 x_2^2-6.4 x_1-0.8 x_2:-1 \leq x_1 \leq 2, \quad 0 \leq x_2 \leq 3 .
alt text Geometric view of the toy optimization problem above. The level curves (curves of constant value) of the objective function are shown. The problem amounts to find the smallest value of t such that t=f_0(x) for some feasible x. The plot also shows the unconstrained minimum of the objective function, located at \hat{x}=(4,2).

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Hyper-Textbook: Optimization Models and Applications Copyright © by L. El Ghaoui. All Rights Reserved.

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