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COALESCE aims to develop a comprehensive theory for solving complex search tasks by breaking them into manageable subtasks. It combines combinatorial and algebraic methods to enhance our understanding of search space decomposition, which is crucial for improving algorithm efficiency in computational tasks.
Search tasks are computational tasks with a curious property: while their solutions are easily verifiable when given, finding those solutions from scratch appears much more arduous. A central algorithmic paradigm to solve such tasks is that of search space decomposition.
This paradigm solves a search task by breaking it up in subtasks such that a solution to the original problem can be quickly recovered from solutions of the subtasks.
Despite its basic nature and its ubiquitous use, it still hol…
UNIVERSITEIT UTRECHT
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