uniformly weighted estimate - definizione. Che cos'è uniformly weighted estimate
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Cosa (chi) è uniformly weighted estimate - definizione

SEQUENCE FUNCTION
Uniformly cauchy; Uniformly Cauchy

Uniformly convex space         
REFLEXIVE BANACH SPACE SUCH THAT THE CENTER OF A LINE SEGMENT INSIDE THE UNIT BALL MUST LIE DEEP INSIDE THE UNIT BALL UNLESS THE SEGMENT IS SHORT
Uniformly convex Banach space; Uniformly convex banach space; Uniform Convexity; Uniform convexity; Uniformly convex
In mathematics, uniformly convex spaces (or uniformly rotund spaces) are common examples of reflexive Banach spaces. The concept of uniform convexity was first introduced by James A.
Weighted-average life         
WEIGHTED AVERAGE OF THE TIMES OF THE PRINCIPAL REPAYMENTS; THE AVERAGE TIME UNTIL A DOLLAR OF PRINCIPAL IS REPAID
Weighted-Average Life; Weighted average life; Weighted Average Life
In finance, the weighted-average life (WAL) of an amortizing loan or amortizing bond, also called average life,PIMCO glossaryBloomberg Glossary is the weighted average of the times of the principal repayments: it's the average time until a dollar of principal is repaid.
Method of mean weighted residuals         
MEAN WEIGHTED RESIDUALS
Methods of Mean Weighted Residuals; Methods of mean weighted residuals
In applied mathematics, methods of mean weighted residuals (MWR) are methods for solving differential equations. The solutions of these differential equations are assumed to be well approximated by a finite sum of test functions \phi_i.

Wikipedia

Uniformly Cauchy sequence

In mathematics, a sequence of functions { f n } {\displaystyle \{f_{n}\}} from a set S to a metric space M is said to be uniformly Cauchy if:

  • For all ε > 0 {\displaystyle \varepsilon >0} , there exists N > 0 {\displaystyle N>0} such that for all x S {\displaystyle x\in S} : d ( f n ( x ) , f m ( x ) ) < ε {\displaystyle d(f_{n}(x),f_{m}(x))<\varepsilon } whenever m , n > N {\displaystyle m,n>N} .

Another way of saying this is that d u ( f n , f m ) 0 {\displaystyle d_{u}(f_{n},f_{m})\to 0} as m , n {\displaystyle m,n\to \infty } , where the uniform distance d u {\displaystyle d_{u}} between two functions is defined by

d u ( f , g ) := sup x S d ( f ( x ) , g ( x ) ) . {\displaystyle d_{u}(f,g):=\sup _{x\in S}d(f(x),g(x)).}