"Good performance by an algorithm on one class of problems can be offset by poorer performance on another class."
Wolpert and Macready formally establish the no-free-lunch theorems for optimization, showing how algorithmic advantages depend on the distribution of problems being considered. This is the original mathematical foundation for the manuscript's discussion of trade-offs between general-purpose and specialized computational approaches.
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