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Volumn 21, Issue 5, 2005, Pages 740-756

Improved bounds on the randomized and quantum complexity of initial-value problems

Author keywords

Complexity; Initial value problems; Randomized and quantum algorithms

Indexed keywords

ALGORITHMS; COMPUTER SYSTEMS; INITIAL VALUE PROBLEMS; INTEGRATION; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 27144489692     PISSN: 0885064X     EISSN: 10902708     Source Type: Journal    
DOI: 10.1016/j.jco.2005.05.003     Document Type: Article
Times cited : (18)

References (12)
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    • Heinrich, S.1
  • 6
    • 0002121573 scopus 로고    scopus 로고
    • Optimal summation and integration by deterministic, randomized, and quantum algorithms
    • K.-T. Fang, F.J. Hickernell, H. Niederreiter (Eds.) Springer, Berlin
    • S. Heinrich, E. Novak, Optimal summation and integration by deterministic, randomized, and quantum algorithms, in: K.-T. Fang, F.J. Hickernell, H. Niederreiter (Eds.), Monte Carlo and Quasi-Monte Carlo Methods 2000, Springer, Berlin, 2002, pp. 50-62; see also http://arXiv.org/abs/quant-ph/ 0105114.
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    • Randomized and quantum algorithms yield a speed-up for initial-value problems
    • B. Kacewicz, Randomized and quantum algorithms yield a speed-up for initial-value problems, J. Complexity 20 (2004) 821-834; see also http://arXiv.org/abs/quant-ph/0311148.
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  • 10
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    • Deterministic and stochastic error bounds in numerical analysis
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    • Path integration on a quantum computer
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.