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  • Monte Carlo  (2)
  • Chinese Cities  (1)
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  • 1
    facet.materialart.
    Unknown
    Springer Nature | Springer Nature Singapore
    Publication Date: 2023-08-16
    Description: To examine the origins, characteristics, and outcomes of resilient governance with Chinese characteristics, this open access book takes Guangzhou, a typical Chinese city from 1990 to 2015, as an example. Through participant observation, semi-structured interviews, and the collection of secondary data, this book finds that (1) the institutional context can be described as an authoritarian land-oriented pro-growth regime; (2) there are three phases with different patterns of governance: the Primitive Market Phase (1990–1998), the Pure Government Phase (1998–2006) and the Multiple Players Phase (2006–2015); (3) redevelopment can serve as a model of resilient governance because it changes in time in a dynamic environment to maximise economic growth; (4) an authoritarian land-oriented pro-growth regime is the key to support such a resilient governance model. This is an open access book.
    Keywords: Urban Redevelopment ; Urban Governance ; Authoritarian Resilience ; Urban Regeneration ; Urban Renewal ; Urban Reconstruction ; Urban Planning ; Urban Policy ; Resilient Governance ; Chinese Cities ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GT Interdisciplinary studies::GTF Development studies ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RNU Sustainability
    Language: English
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of statistical physics 80 (1995), S. 661-754 
    ISSN: 1572-9613
    Keywords: Self-avoiding walk ; polymer ; critical exponent ; hyperscaling ; universal amplitude ratio ; second virial coefficient ; interpenetration ratio ; renormalization group ; two-parameter theory ; Monte Carlo ; pivot algorithm ; Karp-Luby algorithm
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract We make a high-precision Monte Carlo study of two- and three-dimensional self-avoiding walks (SAWs) of length up to 80,000 steps, using the pivot algorithm and the Karp-Luby algorithm. We study the critical exponentsv and 2Δ 4 −γ as well as several universal amplitude ratios; in particular, we make an extremely sensitive test of the hyperscaling relationdv = 2Δ 4 −γ. In two dimensions, we confirm the predicted exponentv=3/4 and the hyperscaling relation; we estimate the universal ratios 〈R g 2 〉/〈R e 2 〉=0.14026±0.00007, 〈R m 2 〉/〈R e 2 〉=0.43961±0.00034, and Ψ*=0.66296±0.00043 (68% confidence limits). In three dimensions, we estimatev=0.5877±0.0006 with a correctionto-scaling exponentΔ 1=0.56±0.03 (subjective 68% confidence limits). This value forv agrees excellently with the field-theoretic renormalization-group prediction, but there is some discrepancy forΔ 1. Earlier Monte Carlo estimates ofv, which were ≈0.592, are now seen to be biased by corrections to scaling. We estimate the universal ratios 〈R g 2 〉/〈R e 2 〉=0.1599±0.0002 and Ψ*=0.2471±0.0003; since Ψ*〉0, hyperscaling holds. The approach to Ψ* is from above, contrary to the prediction of the two-parameter renormalization-group theory. We critically reexamine this theory, and explain where the error lies. In an appendix, we prove rigorously (modulo some standard scaling assumptions) the hyperscaling relationdv = 2Δ 4 −γ for two-dimensional SAWs.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of statistical physics 61 (1990), S. 723-748 
    ISSN: 1572-9613
    Keywords: Monte Carlo ; conformal invariance ; random walk ; mutually-avoiding walks ; self-avoiding walk ; maximum-likelihood estimation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract Let ζ l be the critical exponent associated with the probability thatl independentN-step ordinary random walks, starting at nearby points, are mutually avoiding. Using Monte Carlo methods combined with a maximum-likelihood data analysis, we find that in two dimensions ζ2=0.6240±0.0005±0.0011 and ζ3=1.4575±0.0030±0.0052, where the first error bar represents systematic error due to corrections to scaling (subjective 95% confidence limits) and the second error bar represents statistical error (classical 95% confidence limits). These results are in good agreement with the conformal-invariance predictions ζ2=5/8 and ζ3=35/24.
    Type of Medium: Electronic Resource
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