overlapping mutliprocessor - significado y definición. Qué es overlapping mutliprocessor
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Qué (quién) es overlapping mutliprocessor - definición

Overlapping subproblem

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.Introduction to Algorithms, 2nd ed.
Overlapping generations model         
  • Convergence of OLG Economy to Steady State
  • Generational Shifts in OLG Models
ECONOMIC MODEL
Overlapping generations models; Overlapping generations (economics)
The overlapping generations (OLG) model is one of the dominating frameworks of analysis in the study of macroeconomic dynamics and economic growth. In contrast, to the  Ramsey–Cass–Koopmans neoclassical growth model in which individuals are infinitely-lived, in the OLG model individuals live a finite length of time, long enough to overlap with at least one period of another agent's life.
Non-overlapping magisteria         
VIEW THAT SCIENCE AND RELIGION HAVE SEPARATE, NON-OVERLAPPING DOMAINS OF VALIDITY
Non-overlapping magisterium; Nonoverlapping magisteria; Nonoverlapping magisterium; Non-Overlapping Magisteria; Non Overlapping Magisteria
Non-overlapping magisteria (NOMA) is the view, advocated by Stephen Jay Gould, that science and religion each represent different areas of inquiry, fact vs. values, so there is a difference between the "nets" over which they have "a legitimate magisterium, or domain of teaching authority", and the two domains do not overlap.

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.