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Our proposed approach is a classic N^2 search problem.
Classic Pacman is modeled as both an adversarial and a stochastic search problem.
The real power of A* will only be apparent with a more challenging search problem.
Strategic behavior subsumes issues such as search, problem restructuring, and process management.
When m= 1, our problem reduces to the d-dimensional orthogonal search problem.
In this paper we examine the search problem in autotuning from a mathematical optimization perspective.
They are used to accelerate the search process to approximate the nearest neighbour search problem.
The core of the search problem is the inversion set of the optimal filter.
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There are a few ways computers can tackle the name-search problem.
Solve the line-search problem to find (10).
The signal detection can also be transformed into a tree-search problem [9-13].
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