Crossword Solver > found answer > DANSKIN

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ANSWER

danskin

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The answer DANSKIN has 5 possible clue(s) in existing crosswords.

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The word DANSKIN is NOT valid in any word game. (Sorry, you cannot play DANSKIN in Scrabble, Words With Friends etc)

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Definitions of danskin in various dictionaries:

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Possible Crossword Clues
Workout wear brand for women
Women's workout wear brand

Last Seen in these Crosswords & Puzzles
Jun 2 2019 The Washington Post
Jun 2 2019 The Washington Post
Jun 2 2019 L.A. Times Daily
Jun 2 2019 L.A. Times Daily
Dec 9 2016 Wall Street Journal

Possible Jeopardy Clues
It's the brand of activewear & dancewear for women, whose logo is seen here
One slogan of this leotard & more line was "not just for dancing"
The name of this brand is an amalgam of "dance" and "skin"

Danskin might be related to
In convex analysis, Danskin's theorem is a theorem which provides information about the derivatives of a function of the form * * * * f * ( * x * ) * = * * max * * z * ∈ * Z * * * ϕ * ( * x * , * z * ) * . * * * {\displaystyle f(x)=\max _{z\in Z}\phi (x,z).} * The theorem has applications in optimization, where it sometimes is used to solve minimax problems. The original theorem by J. M. Danskin, given in his 1967, monograph "The Theory of Max-Min and its Applications to Weapons Allocation Problems," Springer, NY, provides a formula for the directional derivative of the maximum of a (not necessarily convex) directionally differentiable function. When adapted to the case of a convex function, this formula yields the following theorem given in somewhat more general form as Proposition A.22 in the 1971 Ph.D. Thesis by D. P. Bertsekas, "Control of Uncertain Systems with a Set-Membership Description of the Uncertainty". A proof of the following version can be found in the 1999 book "Nonlinear Programming" by Bertsekas (Section B.5).

Danskin might be related to

In convex analysis, Danskin's theorem is a theorem which provides information about the derivatives of a function of the form
*
*
*
* f
* (
* x
* )
* =
*
* max
*
* z
* ∈
* Z
*
*
* ϕ
* (
* x
* ,
* z
* )
* .
*
*
* {\displaystyle f(x)=\max _{z\in Z}\phi (x,z).}
* The theorem has applications in optimization, where it sometimes is used to solve minimax problems. The original theorem by J. M. Danskin, given in his 1967, monograph "The Theory of Max-Min and its Applications to Weapons Allocation Problems," Springer, NY, provides a formula for the directional derivative of the maximum of a (not necessarily convex) directionally differentiable function. When adapted to the case of a convex function, this formula yields the following theorem given in somewhat more general form as Proposition A.22 in the 1971 Ph.D. Thesis by D. P. Bertsekas, "Control of Uncertain Systems with a Set-Membership Description of the Uncertainty". A proof of the following version can be found in the 1999 book "Nonlinear Programming" by Bertsekas (Section B.5).

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