Welcome to Anagrammer Crossword Genius! Keep reading below to see if iteratively is an answer to any crossword puzzle or word game (Scrabble, Words With Friends etc). Scroll down to see all the info we have compiled on iteratively.
iteratively
Searching in Crosswords ...
The answer ITERATIVELY has 0 possible clue(s) in existing crosswords.
Searching in Word Games ...
The word ITERATIVELY is VALID in some board games. Check ITERATIVELY in word games in Scrabble, Words With Friends, see scores, anagrams etc.
Searching in Dictionaries ...
Definitions of iteratively in various dictionaries:
ITERATIVELY - The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form of a p-...
Word Research / Anagrams and more ...
Keep reading for additional results and analysis below.
Possible Dictionary Clues |
---|
In an iterative manner using iteration |
Iteratively description |
---|
The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form of a p-norm:* * * * * * * a * r * g * * m * i * n * * β * * * * ∑ * * i * = * 1 * * * n * * * * * | * * * * y * * i * * * − * * f * * i * * * ( * * β * * ) * * * * | * * * * p * * * , * * * {\displaystyle {\underset {\boldsymbol {\beta }}{\operatorname {arg\,min} }}\sum _{i=1}^{n}{\big |}y_{i}-f_{i}({\boldsymbol {\beta }}){\big |}^{p},} * by an iterative method in which each step involves solving a weighted least squares problem of the form: * * * * * * * β * * * ( * t * + * 1 * ) * * * = * * * * a * r * g * * m * i * n * * β * * * * ∑ * * i * = * 1 * * * n * * * * w * * i * * * ( * * * β * * * ( * t * ) * * * ) * * * | * * * * y * * i * * * − * * f * * i * * * ( * * β * * ) * * * * | * * * * 2 * * * . * * * {\displaystyle {\boldsymbol {\beta }}^{(t+1)}={\underset {\boldsymbol {\beta }}{\operatorname {arg\,min} }}\sum _{i=1}^{n}w_{i}({\boldsymbol {\beta }}^{(t)}){\big |}y_{i}-f_{i}({\boldsymbol {\beta }}){\big |}^{2}.} * IRLS is used to find the maximum likelihood estimates of a generalized linear model, and in robust regression to find an M-estimator, as a way of mitigating the influence of outliers in an otherwise normally-distributed data set. For example, by minimizing the least absolute errors rather than the least square errors. * Although not a linear regression problem, Weiszfeld's algorithm for approximating the geometric median can also be viewed as a special case of IRLS, in which the objective function is the sum of distances of the es... |