What are the advantages of using the Standard Form in Linear Programming, over the general form of a linear programming problem ?
2026-03-26 06:17:28.1774505848
Standard Form linear programming
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Standard form is important for historical algorithmic reasons. The simplex method assumes an LP in standard form (see for example this report from 1956 or any modern textbook). Nowadays we almost never directly interface with a simplex solver. Most linear optimization software accepts inequality constraints and internally reformulates them if the simplex method is used. Algebraic modeling languages such as AMPL also do not require a specific input format. Despite not having practical value to the average student, standard form remains a useful tool in teaching some basic reformulations of linear optimization problems.
Please allow me to dwell a bit in history. The term 'standard form' was already known in 1956, but very few papers use that term. This paper from 1969 mentions 'standard form' but has inequality constraints, whereas this paper from 1971 uses the form as we know it today:
The MFOR-360 solver was written by Joel Shwimer, who was a PhD student at MIT. This document from 1977 has a description and lists the system requirements of this solver:
MFOR-360 was not the only solver at athe time. This 1974 NASA report mentions LINPROG (1969) as an alternative, but I also found a solver called LPI (1974). Those solvers also required standard form as input.