Sisäpistemenetelmät lineaarisessa optimoinnissa
Abstract
Sisäpistemenetelmät ovat menetelmäluokka optimointiongelmien ratkaisemiseen.
Tässä tutkielmassa keskitytään sisäpistemenetelmiin lineaarisessa optimoinnissa ja käydään
läpi tiettyjen menetelmien idea. Käytetyin sisäpistemenetelmä on ei-sallittu primaali-duaalimenetelmä, joka voidaan toteuttaa erittäin tehokkaasti. Sisäpistemenetelmien lisäksi
lineaarinen optimointiongelma voidaan ratkaista Simplex-menetelmällä, ja molemmat tavat
ovat laajalti käytössä. Myös sisäpistemenetelmien tehokas toteutus ja niiden hyvät ja huonot puolet Simplex-menetelmään verrattuna ovat tutkielmassa käsiteltäviä aiheita.
Interior point methods are a class of methods for solving optimization problems. In this thesis we focus on interior point methods in linear programming and go through the ideas of certain methods. The most used interior point method is an infeasible primal-dual method, which can be implemented very efficiently. In addition to interior point methods, linear programs can be solved by the Simplex method, and both ways are widely used. Ef- ficient implementation of interior point methods and their pros and cons in comparison with the Simplex method are also topics covered in the thesis.
Interior point methods are a class of methods for solving optimization problems. In this thesis we focus on interior point methods in linear programming and go through the ideas of certain methods. The most used interior point method is an infeasible primal-dual method, which can be implemented very efficiently. In addition to interior point methods, linear programs can be solved by the Simplex method, and both ways are widely used. Ef- ficient implementation of interior point methods and their pros and cons in comparison with the Simplex method are also topics covered in the thesis.
Main Author
Format
Theses
Bachelor thesis
Published
2018
Subjects
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201805292867Use this for linking
Language
Finnish