PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: stock market

R Solution. R - Stanford Engineering Everywhere

EE364a, Winter 2007-08 Prof. S. BoydEE364a Homework 4 involving 1- and -norms. Formulate the following problems as LPs. Ex-plain in detail the relation between the optimal solution of each problem and thesolution of its equivalent LP.(a) MinimizekAx bk ( - norm approximation).(b) MinimizekAx bk1( 1- norm approximation).(c) MinimizekAx bk1subject tokxk 1.(d) Minimizekxk1subject tokAx bk 1.(e) MinimizekAx bk1+kxk .In each problem,A Rm nandb Rmare given. (See for more problemsinvolving approximation and constrained approximation.)Solution.(a) Equivalent to the LPminimizetsubject toAx b t1Ax b the variablesx Rn,t R. To see the equivalence, assumexis fixed in thisproblem, and we optimize only overt. The constraints say that t aTkx bk tfor eachk, ,t |aTkx bk|, ,t maxk|aTkx bk|=kAx bk.

EE364a Homework 4 solutions 4.11 Problems involving ℓ1- and ℓ∞-norms. Formulate the following problems as LPs. Ex-plain in detail the relation between the optimal solution of each problem and the solution of its equivalent LP. (a) Minimize kAx−bk∞ (ℓ∞-norm approximation). (b) Minimize kAx−bk1 (ℓ1-norm approximation).

Loading..

Tags:

  Solutions, Norm

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of R Solution. R - Stanford Engineering Everywhere

Related search queries