cyclical decomposition - meaning and definition. What is cyclical decomposition
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What (who) is cyclical decomposition - definition

THEOREM
Lebesgue decomposition theorem; Lebesgue decomposition

Lossless join decomposition         
DECOMPOSITION OF A DATABASE RELATION SUCH THAT A NATURAL JOIN OF THE RESULTING RELATIONS YIELDS BACK THE ORIGINAL RELATION
Lossless-join decomposition; Lossless-Join Decomposition
In database design, a lossless join decomposition is a decomposition of a relation R into relations R_1, R_2 such that a natural join of the two smaller relations yields back the original relation. This is central in removing redundancy safely from databases while preserving the original data.
Chemical decomposition         
  • An experiment describing catalytic decomposition of hydrogen peroxide. A concentrated hydrogen peroxide solution can be easily decomposed to water and oxygen.
BREAKDOWN OF A SINGLE ENTITY (NORMAL MOLECULE, REACTION INTERMEDIATE, ETC.) INTO TWO OR MORE FRAGMENTS; OPPOSITE OR REVERSE PROCESS OF A SYNTHESIS REACTION
Decomposition reaction; Decompose (chemistry); Chemical degradation; Chemical breakdown; Decomposition product; Decomposition (chemistry)
Chemical decomposition, or chemical breakdown, is the process or effect of simplifying a single chemical entity (normal molecule, reaction intermediate, etc.) into two or more fragments.
Decomposition (computer science)         
  • Decomposition Structure
  • Negative Node-Numbered Context
  • Static, Dynamic, and Requirements Models for Systems Partition
  • Functions and Use Scenarios Mapping to Requirements and Goals
BREAKING A COMPLEX PROBLEM OR SYSTEM INTO PARTS THAT ARE EASIER TO CONCEIVE, UNDERSTAND, PROGRAM, AND MAINTAIN
Decomposition paradigm; Decomposition in programming; Algorithmic decomposition; Decomposition diagram; Factoring (computer science); Functional decomposition (computer science)
Decomposition in computer science, also known as factoring, is breaking a complex problem or system into parts that are easier to conceive, understand, program, and maintain.

Wikipedia

Lebesgue's decomposition theorem

In mathematics, more precisely in measure theory, Lebesgue's decomposition theorem states that for every two σ-finite signed measures μ {\displaystyle \mu } and ν {\displaystyle \nu } on a measurable space ( Ω , Σ ) , {\displaystyle (\Omega ,\Sigma ),} there exist two σ-finite signed measures ν 0 {\displaystyle \nu _{0}} and ν 1 {\displaystyle \nu _{1}} such that:

  • ν = ν 0 + ν 1 {\displaystyle \nu =\nu _{0}+\nu _{1}\,}
  • ν 0 μ {\displaystyle \nu _{0}\ll \mu } (that is, ν 0 {\displaystyle \nu _{0}} is absolutely continuous with respect to μ {\displaystyle \mu } )
  • ν 1 μ {\displaystyle \nu _{1}\perp \mu } (that is, ν 1 {\displaystyle \nu _{1}} and μ {\displaystyle \mu } are singular).

These two measures are uniquely determined by μ {\displaystyle \mu } and ν . {\displaystyle \nu .}