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UCF QMB 3200 FINAL EXAM QUESTIONS WITH COMPLETE SOLUTIONS GRADED A+ $12.99
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UCF QMB 3200 FINAL EXAM QUESTIONS WITH COMPLETE SOLUTIONS GRADED A+

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UCF QMB 3200 FINAL EXAM QUESTIONS WITH COMPLETE SOLUTIONS GRADED A+

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  • May 10, 2024
  • 9
  • 2023/2024
  • Exam (elaborations)
  • Questions & answers
  • UCF QMB 3200
  • UCF QMB 3200
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UCF QMB 3200 FINAL EXAM QUESTIONS WITH
COMPLETE SOLUTIONS GRADED A+

Constrains (correct answer) Floor: >=
Ceiling: <=


Decision variables (correct answer) Must be taken to power.
ex. x1^2 + x2^1/2


sin x2 (correct answer) sin makes it linear only if sin'd or cos'd or taken to
power is equation nonlinear


3 properties of linear models (correct answer) 1. additive– usually either +1
between pieces
ex.c1x1+ c2x2 (constraint, varlable, plus sign) pattern


2. Proportionality– every difference in decision variable variable is the same no
matter where it falls


3. Divisiblility– variables can go into decimals and fractions


Array 1 and array 2 (correct answer) array 1: c1 c2 c3 c4
array 2: x1 x2 x3 x4


Network Representation (correct answer) .56 etc. is representative of how
much it costs to move from one Node to another

, at least, most, and exactly (correct answer) at least m...
at most n...
exactly k,..


Optimization (correct answer) the process of finding the best set of decisions
for a particular measure of performance


algorithm (correct answer) a set of procedures that accomplish the goal of
finding the best values of the decision variables


Nonlinear: decsion variables (correct answer) What must be decided?
Go in the “changing” cells


Nonlinear: Constraints (correct answer) What restrictions limit our choice of
decision variables?


Nonlinear: Objective function (correct answer) Our decision criterion
It goes in the “target” cell


Linear Model Classification (correct answer) Linear optimization or linear
programming
Objective and all constraints are linear functions of the decision variables
Techniques for solving linear models are more powerful
Use wherever possible
Linear functions have the form

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