A synthesis of simplex and linear correction methods for linear optimization problems with unformalized restrictions
Numerical methods and programming, Tome 6 (2005) no. 1, pp. 226-238
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This paper is devoted to solving the linear optimization problems with unformalized restrictions. We propose a method
based on a synthesis of simplex and linear correction methods. Our method demands an expert capable to find out
whether a point satisfies the unformalized restriction under consideration. The paper describes an implementation of
our method in the form of a program package in the C language. Some results of computing experiments confirming
the efficiency of our approach are discussed.
@misc{VMP_2005_6_1_a20,
title = {A synthesis of simplex and linear correction methods for linear optimization problems with unformalized restrictions},
journal = {Numerical methods and programming},
pages = {226--238},
publisher = {mathdoc},
volume = {6},
number = {1},
year = {2005},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VMP_2005_6_1_a20/}
}
TY - JOUR TI - A synthesis of simplex and linear correction methods for linear optimization problems with unformalized restrictions JO - Numerical methods and programming PY - 2005 SP - 226 EP - 238 VL - 6 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/VMP_2005_6_1_a20/ LA - ru ID - VMP_2005_6_1_a20 ER -
A synthesis of simplex and linear correction methods for linear optimization problems with unformalized restrictions. Numerical methods and programming, Tome 6 (2005) no. 1, pp. 226-238. http://geodesic.mathdoc.fr/item/VMP_2005_6_1_a20/