Linear Programming - Graphical Method Flashcards

1
Q

Who invented the technique for optimizing shipping resources?

A

American mathematicians during World War 2.

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2
Q

What did George B. Dantzig develop from 1946 to 1947?

A

General linear programming formulation for planning problems in the US Air Force.

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3
Q

What significant method did Dantzig invent in 1947?

A

The simplex method.

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4
Q

What problem did the simplex method efficiently tackle?

A

Linear programming problem

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5
Q

When was linear programming published?

A

After WW2

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6
Q

Why was linear programming published after the war?

A

Due to the fear of Americans that other countries might take advantage of their method.

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7
Q

Main use of linear programming today?

A

Business models.

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8
Q

A method for solving problems in which a quantity is to be maximized or minimized when the quantity is subject to various restrictions or constraints.

A

Linear programming

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9
Q

When do linear programming problems arise?

A

In situations where available resources are limited or cannot be utilized completely.

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10
Q

When did George B. Dantzig develop general linear programming formulation

A

from 1946 to 1947

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11
Q

The optimal value of a linear function which defines the objectives of the problem subject to a set of linear constraints.

A

LP problem

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12
Q

The limit or decision environment of the problem.

A

Constraints

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13
Q

May mean maximizing profit or minimizing cost in a specific context.

A

Optimal

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14
Q

There must be a linear relationship between variables and constraints.

A

first property

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15
Q

The linear programming model should have an objective function.

A

second property

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16
Q

What is the third property of a linear programming model?

A

There must be structural constraints in the linear programming model.

17
Q

Non-negativity constraints must be present in the linear programming model.

A

fourth property

18
Q

There must be a _____ relationship between ____ and ____.

A

linear, variables, constraints

19
Q

The linear programming model should have an?

A

Objective function.

20
Q

There must be _______ in the linear programming model.

A

structural constraints

21
Q

________ must be present in the linear programming model.

A

Non-negativity constraints

22
Q

What are the 4 basic assumptions of a linear programming problem

A
  • Proportionality
  • Additivity
  • Divisibility
  • Certainty
23
Q

The contribution of individual variables in the
objective function is proportional to their value.

A

Proportionality

24
Q

The total value of the objective function and each
constraint is the sum of the individual contributions
from each variable.

A

Additivity

25
Q

The decision variables can take on any real
numerical values within a specified range.

A

Divisibility

26
Q

The parameters are known.

A

Certainty

27
Q

What are 2 ways of solving a linear programming problem

A
  • Graphical Method
  • Simplex Method
28
Q

The best used only for simple LP models involving two or three variables.

A

Graphical Method

29
Q

LP models involving several decision variables.

A

Simplex Method