iteratively's Usage Examples:

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:.

initiating a creative collaboration between technical and domain experts to iteratively refine a conceptual model that addresses particular domain problems.

The discrete difference equations may then be solved iteratively to calculate a price for the option.

out digitally (by methods of triangulation and projective geometry or iteratively (repeated angle corrections by congruent rays).

Affine shape adaptation is a methodology for iteratively adapting the shape of the smoothing kernels in an affine group of smoothing kernels to the local.

A hexaflake or Lindstrøm Snowflake is a fractal constructed by iteratively exchanging hexagons by a flake of seven hexagons; it is a special case of the.

They proposed an iteratively reweighted least squares method for maximum likelihood estimation of.

constructed as a tree from an entry atom where each next atom is built iteratively from the preceding three atoms via three internal variables.

RO works by iteratively moving to better positions in the search-space which are sampled using.

differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure.

encryption and decryption are very similar operations, and both consist of iteratively running a function called a "round function" a fixed number of times.

It can also be applied to a cluster iteratively to identify multiple sub-surface layers.

computation, an initial set of candidate solutions is generated and iteratively updated.

This algorithm is critical to modern iteratively-decoded error-correcting codes including turbo codes and low-density.

The merging of vertices is done iteratively: of a graph a new coarser graph is created and of this new coarser graph.

is a generalization of the k-means clustering method, and it works by iteratively alternating between sparse coding the input data based on the current.

Similar in spirit to evolution strategies, they iteratively update the (continuous) parameters of a search distribution by following.

designed experiment is performed, linear regression is used, sometimes iteratively, to obtain results.

The matching is constructed by iteratively improving an initial empty matching along augmenting paths in the graph.

read "log star"), is the number of times the logarithm function must be iteratively applied before the result is less than or equal to 1 {\displaystyle 1}.