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DNS of turbulence may be viewed as a target problem.
Both do quite well on the difficult target problem.
Several nondestructive testing techniques have been used according to their capabilities and the target problem.
It decomposes a target problem into a set of scalar sub-problems and optimizes them simultaneously.
We begin by defining the target problem representing the class of radiation transport problems that we are focused on.
These solutions are the basis for the definition of a computational method for approximately solving the target problem.
Experiment 4 generalized the finding to a non-analogous target problem that also benefitted from inhibiting maximizing moves.
Using the intrinsic information from the target problem, a new crossover approach is designed to further enhance the optimization performance.
The RCA method consists of three steps: target problem detection, root cause detection, and corrective action innovation.
The success of any CBR system is contingent on the retrieval of a case that can be successfully reused to solve the target problem.
We argue that similarity must be augmented by deeper, adaptation knowledge about whether a case can be easily modified to fit a target problem.
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CEO of Professional Science Editing for Scientists @ prosciediting.com