Linear Programming (LP) is a mathematical modelling techniqueuseful 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 alinear objective function which is to be maximized or minimizedsubject to a finite number of linear constraints. (Wiki) Theapplication 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 restrictionsSign Restriction supported at the moment: <= and >=Potentially unlimited number of constraints to add! The applicationworks as follows, each LP equations is represented by either 2 keywords "min" & "max" (min for minimization and max formaximization). Followed by the objective function variables witheach of the variables separated by 1 space, at the end of eachequation 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 0.200.67 >= 30 0.45 0.25 0.30 >= 40 Credits to:http://graphicloads.com/ For providing free icons!

Converts short codes, emoticons, html entities, emoticons to emoji& vice-versa

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