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For the standard transportation linear program with m sources and n destinations and total supply equaling total demand, an optimal solution (lowest cost) with the smallest number of non-zero xij values (amounts from source i to destination j) is desired. The best upper bound for this number is[2008]a)m nb)2(m + n)c)m + n .d)m + n – 1Correct answer is option 'C'. Can you explain this answer? for Mechanical Engineering 2024 is part of Mechanical Engineering preparation. The Question and answers have been prepared
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the Mechanical Engineering exam syllabus. Information about For the standard transportation linear program with m sources and n destinations and total supply equaling total demand, an optimal solution (lowest cost) with the smallest number of non-zero xij values (amounts from source i to destination j) is desired. The best upper bound for this number is[2008]a)m nb)2(m + n)c)m + n .d)m + n – 1Correct answer is option 'C'. Can you explain this answer? covers all topics & solutions for Mechanical Engineering 2024 Exam.
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For the standard transportation linear program with m sources and n destinations and total supply equaling total demand, an optimal solution (lowest cost) with the smallest number of non-zero xij values (amounts from source i to destination j) is desired. The best upper bound for this number is[2008]a)m nb)2(m + n)c)m + n .d)m + n – 1Correct answer is option 'C'. Can you explain this answer?, a detailed solution for For the standard transportation linear program with m sources and n destinations and total supply equaling total demand, an optimal solution (lowest cost) with the smallest number of non-zero xij values (amounts from source i to destination j) is desired. The best upper bound for this number is[2008]a)m nb)2(m + n)c)m + n .d)m + n – 1Correct answer is option 'C'. Can you explain this answer? has been provided alongside types of For the standard transportation linear program with m sources and n destinations and total supply equaling total demand, an optimal solution (lowest cost) with the smallest number of non-zero xij values (amounts from source i to destination j) is desired. The best upper bound for this number is[2008]a)m nb)2(m + n)c)m + n .d)m + n – 1Correct answer is option 'C'. Can you explain this answer? theory, EduRev gives you an
ample number of questions to practice For the standard transportation linear program with m sources and n destinations and total supply equaling total demand, an optimal solution (lowest cost) with the smallest number of non-zero xij values (amounts from source i to destination j) is desired. The best upper bound for this number is[2008]a)m nb)2(m + n)c)m + n .d)m + n – 1Correct answer is option 'C'. Can you explain this answer? tests, examples and also practice Mechanical Engineering tests.