XT (overlapping term) - meaning and definition. What is XT (overlapping term)
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What (who) is XT (overlapping term) - definition

Overlapping subproblem

IBM PC XT         
  • IBM PC/XT 5160 dual floppy drives with 5153 Color Monitor
PERSONAL COMPUTER MODEL
IBM PC-XT; PC/XT; PC XT; PC-XT; IBM XT; XT class; IBM/XT; IBM 5160 Personal Computer XT; IBM 5160; IBM 5162 Personal Computer XT/286; IBM PC/XT; XT Computer; IBM XT 286; IBM PC XT; IBM model 5160; 286 XT; IBM PC 5160; IBM Personal Computer/XT; IBM 5162; XT clones
<computer> An IBM PC with a (slow) hard disk. The XT was released in March 1983. It had an Intel 8088 CPU. The XT/370, released in October 1983, added IBM 370 mainframe emulation, and the XT 286 followed in September 1986 with an Intel 80286 CPU [Why?]. (1996-05-21)
Term (logic)         
  • x*(y*z)}}
  • ''Left to right:'' tree structure of the term (''n''⋅(''n''+1))/2 and ''n''⋅((''n''+1)/2)
MATHEMATICAL EXPRESSION THAT MAY FORM A SEPARABLE PART OF AN EQUATION, A SERIES, OR ANOTHER EXPRESSION; USED IN IN MATHEMATICAL LOGIC, UNIVERSAL ALGEBRA, AND REWRITING SYSTEMS
Term (first-order logic); Logic term; Variant (logic); Term (term rewriting); Linear term; Context (term rewriting); Subterm; Finite terms; First-order terms; Subterms; Renamed copy
In mathematical logic, a term denotes a mathematical object while a formula denotes a mathematical fact. In particular, terms appear as components of a formula.
XT         
WIKIMEDIA DISAMBIGUATION PAGE
Xt; XT (disambiguation); X.T.; X.t.; Xt.; X T

Wikipedia

Overlapping subproblems

In computer science, a problem is said to have overlapping subproblems if the problem can be broken down into subproblems which are reused several times or a recursive algorithm for the problem solves the same subproblem over and over rather than always generating new subproblems.

For example, the problem of computing the Fibonacci sequence exhibits overlapping subproblems. The problem of computing the nth Fibonacci number F(n), can be broken down into the subproblems of computing F(n − 1) and F(n − 2), and then adding the two. The subproblem of computing F(n − 1) can itself be broken down into a subproblem that involves computing F(n − 2). Therefore, the computation of F(n − 2) is reused, and the Fibonacci sequence thus exhibits overlapping subproblems.

A naive recursive approach to such a problem generally fails due to an exponential complexity. If the problem also shares an optimal substructure property, dynamic programming is a good way to work it out.