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अंग्रेजी-हिंदी > linear programming problem उदाहरण वाक्य

linear programming problem उदाहरण वाक्य

उदाहरण वाक्य
31.The founders of this subject are Leonid Kantorovich, a Russian mathematician who developed linear programming problems in 1939, Dantzig, who published the duality in the same year.

32.You could try to " minimize " these differences over all six teams, but that is a linear programming problem and might require special software to compute.

33.The first linear programming formulation of a problem that is equivalent to the general linear programming problem was given by Leonid Kantorovich in 1939, who also proposed a method for solving it.

34.It turns out that any linear programming problem can be reduced to a linear feasibility problem ( e . g . minimize the zero function subject to some linear inequality and equality constraints ).

35.The Simplex algorithm and its variants fall in the family of edge-following algorithms, so named because they solve linear programming problems by moving from vertex to vertex along edges of a polytope.

36.:A linear programming problem is to minimize ( maximize ) a linear " objective function " in one or more variables, with the variables subject to linear equality or inequality constraints.

37.In linear programming, a discipline within applied mathematics, a "'basic "'solution "'is any solution of a linear programming problem satisfying certain specified technical conditions.

38.A large family of algorithms concerning 3-manifolds revolve around normal surface theory, which is a phrase that encompasses several techniques to turn problems in 3-manifold theory into integer linear programming problems.

39.However, the simplex algorithm has poor worst-case behavior : Klee and Minty constructed a family of linear programming problems for which the simplex method takes a number of steps exponential in the problem size.

40.If P is not a finite set, then this problem is a linear semi-infinite programming problem, namely a linear programming problem with finitely many ( 2 ) decision variables and infinitely many constraints.

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