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Simplex Computer Solutions Quiz Questions with Answers PDF Download - 79

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The Simplex Computer Solutions Trivia Questions and Answers PDF (Simplex Computer Solutions Quiz Answers PDF e-Book) download Ch. 10-79 to solve Business Mathematics Practice Tests. Learn Simplex and Computer Solution Method MCQ Questions PDF, Simplex Computer Solutions Multiple Choice Questions (MCQ Quiz) for online business masters programs. The Simplex Computer Solutions Trivia App Download: Free educational app for simplex computer solutions, types of matrices, simplex preliminaries, math: linear programming, matrix operations test prep for online degrees.

The Trivia MCQ: In linear programming, the phenomena such as alternative optimal solution, feasible and unbounded solutions are classified as; "Simplex Computer Solutions" App (iOS & Android) with answers: Classical phenomena; Special phenomena; Optimal phenomena; Marginal phenomena; for online degrees. Study Simplex and Computer Solution Method Questions and Answers, Google eBook to download free sample for accredited online schools for business management.

Simplex Computer Solutions Quiz with Answers : MCQs 79

MCQ 391:

In linear programming, the phenomena such as alternative optimal solution, feasible and unbounded solutions are classified as

1. special phenomena
2. classical phenomena
3. optimal phenomena
4. marginal phenomena
MCQ 392:

The dimension of matrix is (mxn) then the m = n is dimension of

1. rectangle matrix
2. circle matrix
3. triangle matrix
4. square matrix
MCQ 393:

On a region of feasible solution, the artificial variable for any corner point will

1. artificial region
2. real region
3. equal to zero
4. not equal to zero
MCQ 394:

The types of constraints to maximize or minimize linear objective function does not include

1. structural constraints
2. non-negativity constraints
3. proportional constraints
4. none of above
MCQ 395:

The another identified matrix for some matrices is classified as

1. additive inverse matrix
2. multiplicative inverse matrix
3. negative inverse matrix
4. coefficient inverse matrix

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