Übersetzung für 'Kuhn-Tucker conditions' von Englisch nach Deutsch

Kuhn-Tucker conditions

Kuhn-Tucker-Bedingungen {pl}math.

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Kuhn's white-eye [Zosterops kuehni]

Ambonbrillenvogel {m}orn.T

Werbung

tucker

Brusttuch {n}cloth.hist.

Tucker Glacier

Tucker-Gletscher {m}geogr.

bush tucker [Aus.] [coll.]

Nahrung {f} aus der Naturgastr.

tucker bag [Aus.] [coll.]

Proviantbeutel {m}

tucker [Aus.] [NZ] [coll.]

Nahrung {f}

Proviant {m}

Verpflegung {f}

to tucker sb. out [Am.] [coll.]

jdn. total fertigmachen [ugs.]

to tucker sb. (out) [Am.] [coll.] [to exhaust sb.]

jdn. fertigmachen [ugs.] [erschöpfen]

to don one's best bib and tucker

seine besten Kleider anlegencloth.idiom

Tucker: The Man and His Dream [Francis Ford Coppola]

TuckerfilmF

to put on one's best bib and tucker [Br.] [idiom] [dated] [hum.]

sich in Schale schmeißen [ugs.]

conditions

Konditionen {pl}

Umstände {pl}

Zustände {pl}

Geschäftsbedingungen {pl}

Abmachungen {pl}

Bedingungen {pl}

Verhältnisse {pl} [Bedingungen, Lebensumstände]

• Complementarity problems were originally studied because the Karush–Kuhn–Tucker conditions in linear programming and quadratic programming constitute a linear complementarity problem (LCP) or a mixed complementarity problem (MCP).
• If the problem has only equality constraints, then the method is equivalent to applying Newton's method to the first-order optimality conditions, or Karush–Kuhn–Tucker conditions, of the problem.
• With inequality constraints, the problem can be characterized in terms of the geometric optimality conditions, Fritz John conditions and Karush–Kuhn–Tucker conditions, under which simple problems may be solvable.
• This is the significance of the Karush–Kuhn–Tucker conditions.
• Common applications of Farkas' lemma include proving the strong duality theorem associated with linear programming and the Karush–Kuhn–Tucker conditions.

• In mathematical optimization, the Karush–Kuhn–Tucker (KKT) conditions, also known as the Kuhn–Tucker conditions, are first derivative tests (sometimes called first-order necessary conditions) for a solution in nonlinear programming to be optimal, provided that some regularity conditions are satisfied.
• Another approach is to use an interior-point method that uses Newton-like iterations to find a solution of the Karush–Kuhn–Tucker conditions of the primal and dual problems.
• He is also well known for the Karush–Kuhn–Tucker conditions, a basic result in non-linear programming, which was published in conference proceedings, rather than in a journal.
• The problem is solved as a constrained optimization problem and is converged when the solver satisfies Karush–Kuhn–Tucker conditions.
• , then the Karush–Kuhn–Tucker conditions are sufficient for a global minimum.

• Using the Karush–Kuhn–Tucker conditions, it can be shown that the optimization problem has a unique solution because the objective function in the optimization is concave in [...].
• The Fritz John conditions (abbr. FJ conditions), in mathematics, are a necessary condition for a solution in nonlinear programming to be optimal.