Categories: All - variables - objective

by Cindi Musto 1 year ago

147

Simplex Method

The simplex method is a systematic procedure for solving linear programming problems. Initially, the objective function is rewritten, ensuring it is positive and set to zero. Slack variables are introduced to transform inequalities into equalities, a necessary step since the method operates exclusively with less-than-or-equal inequalities.

Simplex Method

Simplex Method

Step Three

perform a pivot operation
perform row operations
the entering row will replace the exiting row
get the pivot element to 1 with everything above and below to a 0

Step Four

If any remaining negative numbers in the bottom row, CIRCLE BACK TO STEP ONE

Step Two

determine pivot element
where the pivot row and pivot column intersect is the pivot element
the variable to the left in the pivot row is the exiting variable
find the pivot row

the smallest quotient determines the pivot row

divide non-negative elements in pivot column by corresponding numbers in the far right row (the "answer" row)

the variable on top of the pivot column becomes the entering variable
look at the bottom row & find largest negative number (this is the pivot column)

Step One

the slack variables and the P variable equaling the solution constant are referred to as a "basic solution"
set up Simplex tableau
this is almost identical to an augmented matrix & manipulation is the same

PreStep

rewrite the objective function
equal everything to zero
P must be positive
use slack variables
one slack variable per equation
rewrite inequalities as equalities
this method ONLY works with less-than-or-equal sign
replace less-than-or-equal sign with equal sign