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v2009.01.01 - Convex Optimization

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210 CHAPTER 3. GEOMETRY OF CONVEX FUNCTIONS<br />

f(z)<br />

A<br />

z 2<br />

z 1<br />

C<br />

H−<br />

H+<br />

a<br />

{z ∈ R 2 | a T z = κ1 }<br />

{z ∈ R 2 | a T z = κ2 }<br />

{z ∈ R 2 | a T z = κ3 }<br />

Figure 63: Cartesian axes in R 3 and three hyperplanes intersecting convex set<br />

C ⊂ R 2 reproduced from Figure 24. Plotted with third dimension is affine set<br />

A = f(R 2 ) a plane. Sequence of hyperplanes, w.r.t domain R 2 of an affine<br />

function f(z)= a T z + b : R 2 → R , is increasing in direction of gradient a<br />

(3.1.8.0.3) because affine function increases in normal direction (Figure 22).

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