Simplex Computer Solutions Quiz Questions and Answers 79 PDF Download

Practice simplex computer solutions quiz, applied math quiz 79 for online learning. Free mathematics MCQs questions and answers to practice simplex computer solutions MCQs with answers. Practice MCQs to test knowledge on simplex computer solutions, types of matrices, simplex preliminaries, math: linear programming, matrix operations worksheets.

Free simplex computer solutions worksheet has multiple choice quiz question as in linear programming, phenomena such as alternative optimal solution, feasible and unbounded solutions are classified as, answer key with choices as special phenomena , classical phenomena , optimal phenomena and marginal phenomena problem solving to test study skills. For online learning, viva help and jobs' interview preparation tips, study simplex and computer solution method multiple choice questions based quiz question and answers.

Quiz on Simplex Computer Solutions Quiz PDF Download Worksheet 79

Simplex Computer Solutions Quiz

MCQ. 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

A

Types of Matrices Quiz

MCQ. 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

D

Simplex Preliminaries Quiz

MCQ. 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

C

Math: Linear Programming Quiz

MCQ. 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

D

Matrix Operations Quiz

MCQ. 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

B