The paper is an extension to another paper recently published in this same journal by Harvie (1990a). In that paper he developed a simple model to try to identify the possible macroeconomic adjustment processes arisin...
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The paper is an extension to another paper recently published in this same journal by Harvie (1990a). In that paper he developed a simple model to try to identify the possible macroeconomic adjustment processes arising in an economy experiencing a temporary period of oil production, under alternative wage adjustment assumptions, namely nominal and real wage rigidity. Certain assumptions were made regarding the characteristics of actual oil production, the permanent revenues generated from that oil production, and the net exports/imports of oil. The role of the price of oil, and possible changes in that price, was essentially ignored, which was equivalent there to setting it to a value of zero. Hence Harvie (1990a) was effectively concerned with analysing the economic effects arising from the production of oil alone. Here we attempt to overcome this deficiency by incorporating the price of oil, as well as changes in that price, in conjunction with the production of oil, the objective being to identify the contribution which the price of oil, and changes in it, make to the adjustment process itself. As in Harvie (1990a), the emphasis in this paper is not given to a mathematical derivation and analysis of the model's dynamics of adjustment or its comparative statics. But rather to the derivation of simulation results from the model, for a specific assumed case, using a numerical algorithm program, conducive to the type of theoretical framework utilized here. The results presented suggest that although the adjustment profiles of the macroeconomic variables of interest, for either wage adjustment assumption, remain fundamentally the same, the magnitude of these adjustments is increased. Hence, to derive a more accurate picture of the dimensions of adjustment of these macroeconomic variables, it is essential to include the price of oil as well as changes in that price.
A pseudo-spectral method for a solution of the equations of dynamic elasticity in cylindrical coordinates is based on the Chebychev expansion in the radial direction and the Fourier expansion in the angular direction ...
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A pseudo-spectral method for a solution of the equations of dynamic elasticity in cylindrical coordinates is based on the Chebychev expansion in the radial direction and the Fourier expansion in the angular direction and is suitable for simulating wave propagation in the vicinity of cylindrical objects. The numerical grid consists of a series of concentric rings, each one with a separate Chebychev-Fourier mesh. One numerical grid is defined for the cylindrical cavity and another grid for the medium around the cavity. Combining these two numerical grids allows reduction of the number of grid points in the angular direction in the interior grid and thus increases the time step. This makes the use of polar coordinates much more economic. The numerical algorithm is applicable to any arbitrary heterogeneous medium.
An algorithm for the solution of branching one-dimensional cable neuron models is presented. The algorithm is based on solving the finite-difference approximations to a cable or compartmental model of a neuron with a ...
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An algorithm for the solution of branching one-dimensional cable neuron models is presented. The algorithm is based on solving the finite-difference approximations to a cable or compartmental model of a neuron with a time implicit integration scheme. The algorithm solves the linear system of equations that must be solved at each time step with implicit algorithms via an "exact domain decomposition". This domain decomposition allows the solution of the unbranched and branching regions of the neuron to be done separately and permits a wide variety of possible implementations on parallel computers. Similarly, the separation of the straight and branched regions allows the solution of these two problems to be accomplished with linear system algorithms optimized for each class of problems. In contrast to other widely used methods (Hines, M. (1984) Int. J. Biomed. Comput., 15: 69-75), this algorithm can be used with arbitrary branching geometries, even those which contain closed loops.
The paper analyses the dynamic performance of polyphase reluctance motors using damping and synchronising torques. A numerical algorithm has been applied to obtain these torque components in the time domain using deta...
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The paper analyses the dynamic performance of polyphase reluctance motors using damping and synchronising torques. A numerical algorithm has been applied to obtain these torque components in the time domain using detailed nonlinear models of reluctance motors. The effects of all electrical motor parameters have been examined and the optimum values of parameters, which give maximum damping of hunting oscillations, have been obtained. It has also been demonstrated that these optimum parameters substantially improve the dynamic performance of reluctance motors. The presented results form a guide to the production of reluctance motors with well-damped oscillations and improved dynamic performance.
A new form of the degenerate perturbation series is proposed. Its construction is inspired by the standard numerical algorithm of inverse iterations: As input, we only assume knowledge of an approximate non-diagonal p...
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A new form of the degenerate perturbation series is proposed. Its construction is inspired by the standard numerical algorithm of inverse iterations: As input, we only assume knowledge of an approximate non-diagonal propagator matrix at some trial zero-order energy. The convergence and a few other technicalities are illustrated by the anharmonic oscillator.
The paper deals with the problem of optimum experimental design for estimation of parameters, which appear in the kernel of an integral equation describing a physical process. The autocorrelation function of a spatial...
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The paper deals with the problem of optimum experimental design for estimation of parameters, which appear in the kernel of an integral equation describing a physical process. The autocorrelation function of a spatial random field acting as an input (stimulus) is the decision variable in the considered problem. Under integral constraints imposed on decision variables results parallel to the optimum experiment design theory of Kiefer and Wolfowitz are presented. In particular, necessary and sufficient optimality conditions are derived and a computational algorithm is proposed.
Introduces a statistical quantity, termed the extended Hadamard variance, for the spectral analysis of the frequency fluctuations nu (t) of an oscillator. The samples of the time series nu (t) are the gated averages n...
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Introduces a statistical quantity, termed the extended Hadamard variance, for the spectral analysis of the frequency fluctuations nu (t) of an oscillator. The samples of the time series nu (t) are the gated averages nu tau or counts of a digital frequency counter spaced by the dead time tau d. The analysis technique and the numerical algorithm combine the flexibility of the extended two-sample variance with a much higher resolution spectral analysis capability, as shown by experimental results. The limitations are also indicated.
In this paper, an iterative algorithm to estimate para meters of ARMA models with missing observations is given. Furthermore, the convergence of the algorithm is proved. A example based in simulation of time series wi...
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Under a constant drift, the linear kriging estimator is considered as a weighted average ofn available sample values. Kriging weights are determined such that the estimator is unbiased and optimal. To meet these requi...
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Under a constant drift, the linear kriging estimator is considered as a weighted average ofn available sample values. Kriging weights are determined such that the estimator is unbiased and optimal. To meet these requirements, negative kriging weights are sometimes found. Use of negative weights can produce negative block grades, which makes no practical sense. In some applications, all kriging weights may be required to be nonnegative. In this paper, a derivation of a set of nonlinear equations with the nonnegative constraint is presented. A numerical algorithm also is developed for the solution of the new set of kriging equations.
A survey of all global time-dependent MHD simulations is presented. The survey includes a discussion of the physical situations simulated by the respective authors as well as the numerical algorithms employed. Finally...
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A survey of all global time-dependent MHD simulations is presented. The survey includes a discussion of the physical situations simulated by the respective authors as well as the numerical algorithms employed. Finally a discussion of the advantages enjoyed by certain numerical schemes and the problems that a researcher will very likely encounter if he should undertake construction of such codes is presented.
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