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.
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     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/}
}
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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/