On Linear-Time Deterministic Algorithms
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Bernard Chazelle; JiΕΔ±Μ MatouΕ‘ek
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Article
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1996
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Elsevier Science
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English
β 208 KB
We show that with recently developed derandomization techniques, one can convert Clarkson's randomized algorithm for linear programming in fixed dimension into a linear-time deterministic algorithm. The constant of proportionality is d O Ε½ d . , which is better than those for previously known algori