All Superlinear Inverse Schemes are coNP-Hard
Edith Hemaspaandra, Lane A. Hemaspaandra, Harald Hempel

TL;DR
This paper proves that inverting NP problems with superlinear certificates is coNP-hard, introducing a new proof technique that constructs diagonalizations within circuits to establish this complexity result.
Contribution
It establishes the coNP-hardness of all superlinear inverse schemes for NP problems using a novel diagonalization-based proof technique.
Findings
Superlinear inverse schemes are coNP-hard.
Introduces a new proof technique involving diagonalizations in circuits.
Provides a complexity classification for inverse problems of NP.
Abstract
How hard is it to invert NP-problems? We show that all superlinearly certified inverses of NP problems are coNP-hard. To do so, we develop a novel proof technique that builds diagonalizations against certificates directly into a circuit.
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Machine Learning and Algorithms · Advanced Graph Theory Research
