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In [[mathematical optimization]], [[linear-fractional programming|linear–fractional program]]s have pseudolinear [[objective function]]s and [[linear programming|linear–inequality constraints]]: These properties allow linear-fractional problems to be solved by a variant of the [[simplex algorithm]] (of [[George B. Dantzig]]).<ref>
Chapter five: {{cite book| last=Craven|first=B. D.|title=Fractional programming|series=Sigma Series in Applied Mathematics|volume=4|publisher=Heldermann Verlag|___location=Berlin|year=1988|pages=145|isbn=3-88538-404-3 |id={{MR|949209}}| }}</ref><ref>{{cite article | last1=Kruk | first1=Serge|last2=Wolkowicz|first2=Henry|title=Pseudolinear programming | url=http://www.jstor.org/stable/2653207 |journal=[[SIAM Review]]|volume=41 |year=1999 |number=4 |pages=795-805 |id={{MR|1723002}}.{{jstor|2653207}}.{{doi|10.1137/S0036144598335259}}| }}
</ref><ref>{{cite article | last1=Mathis|first1=Frank H.|last2=Mathis|first2=Lenora Jane|title=A nonlinear programming algorithm for hospital management |url=http://www.jstor.org/stable/2132826|journal=[[SIAM Review]]|volume=37 |year=1995 |number=2 |pages=230-234|id={{MR|1343214}}.{{jstor|2132826}}.{{doi|
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