artificial variable
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2018 ◽  
Vol 49 (3) ◽  
pp. 321-331
Author(s):  
Dawid Olewnicki ◽  
Marzena Iwańska ◽  
Zbigniew Laudański

The purpose of this study is to evaluate the longterm changes in total fruit consumption in Poland from 1965 to 2014, and to test the impact of developing trends and the effects of the economic situation on fruit consumption in that period. The analysis suggests that changes in fruit consumption in Poland over the last half century correlate with the characteristics of the economic cycle. Two phases of growth in consumption and two phases representing a downward trend may be identified. The artificial variable (the increase or decrease value) allowed to confirm the existence of cyclical factors. The two methods (HP and MLS) used to assess the changes provided a picture of the activity of these factors. It should be noted that the coefficient of the regression function calculated with the HP is very similar to the one calculate with the MLS, and is R2 = 0.645. These methods may therefore be useful in predicting short-term changes in consumption levels





PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0116156 ◽  
Author(s):  
Syed Inayatullah ◽  
Nasir Touheed ◽  
Muhammad Imtiaz


Author(s):  
Y. Wang ◽  
E. Sandgren

Abstract A new linear programming algorithm is proposed which has significant advantages compared to the traditional simplex method. The search direction generated which is always along a common edge of the active constraint set, is used to locate candidate constraints, and can be used to modify the current basis. The dimension of the basis begins at one and dynamically increases but remains less than or equal to the number of design variables. This is true regardless of the number of inequality constraints present including upper and lower bounds. The proposed method can operate equally well from a feasible or infeasible point. The pivot operation and artificial variable strategy of the simplex method are not used. Examples are presented and results are compared with a traditional revised simplex method.





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