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Γραμμικός Προγραμματισμός×Ακέραιος Προγραμματισμός×
ΠεδίοΒελτιστοποίησηΒελτιστοποίηση
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης19471958
ΔημιουργόςGeorge B. DantzigRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
ΤύποςMathematical programming / continuous optimizationMathematical optimisation — exact combinatorial method
Θεμελιώδης πηγήDantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
Εναλλακτικές ονομασίεςLP, linear optimization, Doğrusal Programlama (LP)IP, MIP, mixed-integer programming, mixed-integer linear programming
Συναφείς44
ΣύνοψηLinear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences.Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.
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ScholarGateΣύγκριση μεθόδων: Linear Programming · Integer Programming. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare