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REPORTS > KEYWORD > PARAMETERIZED INAPPROXIMABILITY HYPOTHESIS:
Reports tagged with Parameterized Inapproximability Hypothesis:
TR24-075 | 13th April 2024
Venkatesan Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun, Kewen Wu

Almost Optimal Time Lower Bound for Approximating Parameterized Clique, CSP, and More, under ETH

The Parameterized Inapproximability Hypothesis (PIH), which is an analog of the PCP theorem in parameterized complexity, asserts that, there is a constant $\varepsilon> 0$ such that for any computable function $f:\mathbb{N}\to\mathbb{N}$, no $f(k)\cdot n^{O(1)}$-time algorithm can, on input a $k$-variable CSP instance with domain size $n$, find an assignment satisfying ... more >>>




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