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59,855
LowTemperature Series for Ising Model by FiniteLattice Method
, 1994
"... We have calculated the lowtemperature series for the second moment of the correlation function in d = 3 Ising model to order u 26 and for the free energy of Absolute Value SolidonSolid (ASOS) model to order u 23, using the finitelattice method. 1. ..."
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We have calculated the lowtemperature series for the second moment of the correlation function in d = 3 Ising model to order u 26 and for the free energy of Absolute Value SolidonSolid (ASOS) model to order u 23, using the finitelattice method. 1.
lattices: Lowtemperature series and partition function
, 1997
"... Study of the Potts model on the honeycomb and triangular ..."
LowTemperature Series for Renormalized Operators: the Ferromagnetic SquareLattice Ising Model
 J. Stat. Phys
, 1995
"... A method for computing lowtemperature series for renormalized operators in the twodimensional Ising model is proposed. Series for the renormalized magnetization and nearestneighbor correlation function are given for the majority rule transformation on 2 \Theta 2 blocks and random tiebreaker. ..."
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Cited by 10 (0 self)
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A method for computing lowtemperature series for renormalized operators in the twodimensional Ising model is proposed. Series for the renormalized magnetization and nearestneighbor correlation function are given for the majority rule transformation on 2 \Theta 2 blocks and random tie
LowTemperature Series Expansions for the Square Lattice Ising Model with Spin
 S
"... Abstract. We derive lowtemperature series (in the variable u = exp[−βJ/S2]) for the spontaneous magnetisation, susceptibility and specific heat of the spinS Ising model on the square lattice for S = 3 5 2, 2, 2, and 3. We determine the location of the physical critical point and nonphysical singu ..."
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Cited by 3 (0 self)
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Abstract. We derive lowtemperature series (in the variable u = exp[−βJ/S2]) for the spontaneous magnetisation, susceptibility and specific heat of the spinS Ising model on the square lattice for S = 3 5 2, 2, 2, and 3. We determine the location of the physical critical point and non
Lowtemperature series expansions for the spin1 Ising model
, 1994
"... Abstract. The finitelanice method of series expansion has been used to extend lowtemperature series for the padtion function, order parameter and susceptibility ofthe spin1!sing mofkl on Ihe s q m lattice. A new formalism is described which uses two distinct transfermatrix approaches in order Lo ..."
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Abstract. The finitelanice method of series expansion has been used to extend lowtemperature series for the padtion function, order parameter and susceptibility ofthe spin1!sing mofkl on Ihe s q m lattice. A new formalism is described which uses two distinct transfermatrix approaches in order
Guttmann A J Extrapolation procedure for lowtemperature series for the square lattice spin1 Ising model submitted to
"... Abstract. The finitelattice method of series expansions has been combined with a new extrapolation procedure to extend the lowtemperature series for the specific heat, spontaneous magnetization, and susceptibility of the spin1 Ising model on the square lattice. The extended series were derived by ..."
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Cited by 1 (1 self)
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Abstract. The finitelattice method of series expansions has been combined with a new extrapolation procedure to extend the lowtemperature series for the specific heat, spontaneous magnetization, and susceptibility of the spin1 Ising model on the square lattice. The extended series were derived
LowTemperature Series for the Square Lattice Potts Model by the Improved FiniteLattice Method
, 2008
"... The lowtemperature series are calculated for the free energy, magnetization and susceptibility in the Qstate Potts model on the square lattice, using the improved algorithm of the finite lattice method. The series are obtained to the order of z 41 for each of Q = 5 − 50, and the result of their Pa ..."
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The lowtemperature series are calculated for the free energy, magnetization and susceptibility in the Qstate Potts model on the square lattice, using the improved algorithm of the finite lattice method. The series are obtained to the order of z 41 for each of Q = 5 − 50, and the result
Spurious Regressions in Econometrics
 Journal of Econometrics
, 1974
"... It is very common to see reported in applied econometric literature time series regression equations with an apparently high degree of fit, as measured by the coefficient of multiple correlation R2 or the corrected coefficient R2, but with an extremely low value for the DurbinWatson statistic. We f ..."
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Cited by 800 (6 self)
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It is very common to see reported in applied econometric literature time series regression equations with an apparently high degree of fit, as measured by the coefficient of multiple correlation R2 or the corrected coefficient R2, but with an extremely low value for the DurbinWatson statistic. We
Climate and atmospheric history of the past 420,000 years from the Vostok ice core,
 Antarctica. Nature
, 1999
"... Antarctica has allowed the extension of the ice record of atmospheric composition and climate to the past four glacialinterglacial cycles. The succession of changes through each climate cycle and termination was similar, and atmospheric and climate properties oscillated between stable bounds. Inte ..."
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Cited by 716 (15 self)
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atmospheric greenhousegas concentrations and Antarctic temperature, as well as the strong imprint of obliquity and precession in most of the climate time series. Our records reveal both similarities and differences between the successive interglacial periods. They suggest the lead of Antarctic air
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images.
 IEEE Trans. Pattern Anal. Mach. Intell.
, 1984
"... AbstractWe make an analogy between images and statistical mechanics systems. Pixel gray levels and the presence and orientation of edges are viewed as states of atoms or molecules in a latticelike physical system. The assignment of an energy function in the physical system determines its Gibbs di ..."
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Cited by 5126 (1 self)
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mechanisms, including blurring, nonlinear deformations, and multiplicative or additive noise, the posterior distribution is an MRF with a structure akin to the image model. By the analogy, the posterior distribution defines another (imaginary) physical system. Gradual temperature reduction in the physical
Results 1  10
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59,855