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Operations Research LP Solver screenshot 1 Operations Research LP Solver screenshot 2 Operations Research LP Solver screenshot 3 Operations Research LP Solver screenshot 4 Operations Research LP Solver screenshot 5 Operations Research LP Solver screenshot 6 Operations Research LP Solver screenshot 7 Operations Research LP Solver screenshot 8 Operations Research LP Solver screenshot 9 Operations Research LP Solver screenshot 10 Operations Research LP Solver screenshot 11 Operations Research LP Solver screenshot 12 Operations Research LP Solver screenshot 13 Operations Research LP Solver screenshot 14 Operations Research LP Solver screenshot 15 Operations Research LP Solver screenshot 16 Operations Research LP Solver screenshot 17 Operations Research LP Solver screenshot 18 Operations Research LP Solver screenshot 19 Operations Research LP Solver screenshot 20 Operations Research LP Solver screenshot 21

About this product

Need some Linear Programming problems solved? Then this is for you and it's FREE

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Operations Research LP Solver description

Linear Programming (LP) is a mathematical modelling technique useful for allocation of limited resources such as material, machines etc to several competing activities such as projects, services etc. A typical linear programming problem consists of a linear objective function which is to be maximized or minimized subject to a finite number of linear constraints. (Wiki)

The application will do the following for now:
• v1.0 - 1.2
• Simplex (2 phase and Dual Simplex Included)
1. Minimization
2. Maximization

• More to come:
• IP (integer problems) Branch and bound
• Sensitivity Analysis
• Graphical Solution
• = Sign restrictions

Sign Restriction supported at the moment:
<= and >=

Potentially unlimited number of constraints to add!

The application works as follows, each LP equations is represented by either 2 key words "min" & "max" (min for minimization and max for maximization). Followed by the objective function variables with each of the variables separated by 1 space, at the end of each equation no need to add any spaces just a return is enough:

max 4 3 <- Obj
1 2 <= 40 <- Constraint 1
2 1 <= 60 <- Constraint 2

Another example with decimals.

min 15 10 20
0.10 0.20 0.67 >= 30
0.45 0.25 0.30 >= 40

Credits to: http://graphicloads.com/ For providing free icons!
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