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Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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
Transcribed Image Text:E Consider the following statements.
(i) The feasibility set of a linear programming problem always contains the origin.
(ii) If a set of vectors X spans a vector space V then X is a basis for V.
(iii) The columnspace of a matrix is always the same as the columnspace of its row-reduced form.
(iv) Every linear programming problem with a non-empty feasibility set has a solution.
(v) The number of slack variables introduced to solve a linear programming problem via the simplex method is
equal to the number of constraints.
Determine which of the above statements are True (1) or False (2).
So, for example, if you think that the answers, in the above order, are True,False,False, True, False then you would
enter '1,2,2,1,2' into the answer box below (without the quotes).
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