TL;DR: In many fields using empirical areal data there arises a need for interpolating from irregularly-spaced data to produce a continuous surface as discussed by the authors, and it is assumed that a unique number (such as rainfall in meteorology, or altitude in geography) is associated with each data point.
Abstract: In many fields using empirical areal data there arises a need for interpolating from irregularly-spaced data to produce a continuous surface. These irregularly-spaced locations, hence referred to as “data points,” may have diverse meanings: in meterology, weather observation stations; in geography, surveyed locations; in city and regional planning, centers of data-collection zones; in biology, observation locations. It is assumed that a unique number (such as rainfall in meteorology, or altitude in geography) is associated with each data point. In order to display these data in some type of contour map or perspective view, to compare them with data for the same region based on other data points, or to analyze them for extremes, gradients, or other purposes, it is extremely useful, if not essential, to define a continuous function fitting the given values exactly. Interpolated values over a fine grid may then be evaluated. In using such a function it is assumed that the original data are without error, or that compensation for error will be made after interpolation.
TL;DR: Cubic splines are employed, experimentally, to approximate to the solution of a simple two-point boundary value problem for a linear ordinary differential equation, and results are encouraging.
Abstract: Cubic splines are employed, experimentally, to approximate to the solution of a simple two-point boundary value problem for a linear ordinary differential equation. Checked by comparison with the analytical solution, the results are encouraging. Comparison is also made with the application of Hermite interpolation, which gives results of the same order of accuracy—but, generally, involves the solution of many more linear equations for the same number of nodes.
TL;DR: In this article, a method was devised to interpolate any single-valued function of one independent variable with special emphasis on oceanographic parameters, and an effort was made to minimize spurious extrema in the interpolated values.
TL;DR: A generalized logistic equation for the mathematical representation of batch culture kinetic data is proposed in this paper, and a computer program is used to fit the generalized equation to both artificial and actual batch culture data.
Abstract: A generalized logistic equation is proposed for the mathematical representation of batch culture kinetic data. Properties of the equation are discussed. A computer program is used to fit the generalized equation to both artificial and actual batch culture data. The equation is shown to be capable of fitting data exhibiting lag, exponential, deceleration, stationary, and death phases, as well as diauxic growth. The fitted equation is useful for differentiation, interpolation, and other manipulations of the data, and it is a convenient means of data storage.
TL;DR: It is shown that the class of compression methods considered may or may not perform well depending on the data and, thus, that in some cases more complex techniques, including possibly adaptive methods, might be used,depending on the knowledge of the data statistical model.
Abstract: One simple method of data compression relies on the approximation of the source output by polynomial segments or "interpolators." The parameters of each polynomial are transmitted in place of the original data. This paper presents a method of theoretically analyzing such techniques. Straight line interpolation is considered specifically although the ideas can he readily generalized. It is shown that the class of compression methods considered may or may not perform well depending on the data and, thus, that in some cases more complex techniques, including possibly adaptive methods, might he used, depending on the knowledge of the data statistical model.
TL;DR: In this article, the dependence of the LCAO parameters on structure and volume can be described to a good approximation by simple structure-independent functions, and the accuracy of the description for the fcc and bcc phases of Fe is about 0.01 Ry.
Abstract: The object is to provide a simple scheme for calculating the dependence of the $d$-band structure on the position of the atoms in the crystal. The Korringa-Kohn-Rostoker method in the narrow-band approximation has been used to calculate the nonhybridizing $d$ bands for different crystal structures and for various values of volume/atom, in terms of the position and width of the $d$-scattering resonance. These bands have been fitted by near-neighbor linear combination of atomic orbitals (LCAO) parameters, as in the interpolation schemes of Hodges, Ehrenreich, and Lang, and of Mueller. It is shown that the dependence of the LCAO parameters on structure and volume can be described to a good approximation by simple structure-independent functions. The accuracy of the description for the $d$ bands of the fcc and bcc phases of Fe is about 0.01 Ry. The results are discussed in relation to recent developments in transition-metal band theory.
TL;DR: In this article, a method is devised for obtaining equations applying to more general cases, where the requirement is the existence of analytic properties of the wavefunctions corresponding to special classes of potentials, enabling one to construct interpolation formulas of the Lagrange form.
Abstract: In many problems of potential scattering, and particularly in the inverse‐scattering problem, two equations prove to be of essential interest: the Gel'fand‐Levitan equation and the Regge‐Newton equation. These and their generalizations apply, respectively, to energy‐independent and to λ‐independent potentials. In this paper, a method is devised for obtaining equations applying to more general cases. The requirement is the existence of analytic properties of the wavefunctions corresponding to special classes of potentials, enabling one to construct interpolation formulas of the Lagrange form. From these formulas, it is possible to derive integral equations which may then be generalizable to much larger classes of potentials. This method is fully developed in the case of potentials depending linearly on λ. Interpolation formulas and analytic properties of the wavefunctions in the λ plane are exhibited. Integral equations are given and proved to apply to very large classes of potentials. Existence, uniqueness, and analytic properties of their solutions are thoroughly studied. An example is given for which all the wavefunctions are calculated exactly. Application of the method to the inverse scattering problem in the presence of a spin‐orbit potential will be the object of a forthcoming paper.
TL;DR: In this article, a complete set of two-body and three-body effective interaction parameters between 3D electrons was introduced, and they obtained a mean error of ±192 cm−1.
Abstract: 650 levels belonging to the configurations (3d + 4s)n of all second spectra of the iron group were calculated, and 472 observed levels were fitted to them. In addition to the usually used approximation, a complete set of two-body and three-body effective-interaction parameters between 3d electrons was also introduced. Using only two-body effective interactions, we obtained a mean error of ±192 cm−1; while the addition of three-body effective interactions reduced the mean error to ±87 cm−1.
TL;DR: This paper discusses the problems in analyzing data compression by theoretical means, presents some approximate and exact solutions, and suggests areas where further work is needed.
Abstract: The concept of reducing the required transmission rate for a given system through prediction, interpolation, or other such techniques loosely labeled as "data compression" is now well known. The problems in analyzing such systems by theoretical means are formidable in even the simplest situations due to the inherent nonlinear nature of the operations performed. This paper discusses these difficulties, presents some approximate and exact solutions, and suggests areas where further work is needed.
TL;DR: In this article, the convergence properties of periodic cubic splines which interpolate a given function at one or more inner points of the given mesh intervals were investigated. And the error bounds for the spline which interpolates at two or more points in each mesh interval were obtained.
TL;DR: Techniques of interpolating from irregularly spaced known function values in two dimensions, with the weighting based on the inverse distance from the corresponding points, are discussed.
Abstract: : Techniques of interpolating from irregularly spaced known function values in two dimensions are discussed. First, a function defined as a weighted average of the given function values, with the weighting based on the inverse distance from the corresponding points, is explored. To shorten computation and improve the quality of interpolation, additional terms based on distances, directions and slopes are added. An interpolation function everywhere continuously differentiable and fitting the data exactly is finally presented. A provision for barriers to interpolation is described for applications in geographical analysis. The interpolation function has been incorporated into a computer mapping program in FORTRAN called SYMAP (Versions IV and V). (Author)
TL;DR: In this paper, the norm 11.111 on a Banach space is semicontinuous, i.e., the norm of a linear operator on the corresponding spaces is a constant.
Abstract: From (l.~) it follows that the norm 11.111 on a Banach fu町tion space is semicontinuous, i. e円。 ζfn ↑f, f-fdX implies ilfii=yp1ijpt il.The space (工 11 . 1¥)is called Jでarrangcment ùruaバωzt, if 0ζfε X implies 9 ε . r-and I\\f\\\\ 二\\\\9 ¥ for each fu町tion g , equimeasurable with f・ Let V , L∞ be the Lebes只ue spaces over (0 , 1), and let R (V; L∞) be the set of al boundecl linear operators from each of the spaces .L1, I~∞ into itself. By ¥¥Tlli (i=l , or ニ∞) we denote the norm of an operator Tε R(V 、 L∞) on the corresponding spaces. For each a>O , J\" is the functionεiven by j;, (刈 =f(([.r) , if ([.r l. We write also
TL;DR: In this paper, the SLATER-sums of two charged particles were expanded in TAYLOR-series with respect to the distance between the particles, and the expansion was used to calculate the binary SLATERsums for small values of r(r ≪ λ) λ-thermal wavelength.
Abstract: In part I of this paper the SLATER-sums of two charged particles were expanded in TAYLOR-series with respect to the distance between the particles. Using these expansions we calculate the binary SLATER-sums for small values of r(r ≪ λ) λ-thermal wavelength). In the case of r ≫ λ the binary SLATER-sums can be approximated by the classical BOLTZMANN-factor. In the intermediate region r ≈ λ we get the binary SLATER-sums by interpolation. For high temperatures we obtain KELBG's result. For special cases the binary SLATER-sums and the binary distribution functions are presented graphically and discussed.
TL;DR: In this article, a two-axis numerical path control system including a time-shared digital computer was proposed, which is capable of deriving from a small number of data words successive straight line path or circular arc path command signals at a rate of 50 times a second and converting these into intermediate or secondary command signals which are applied to the servos of the machine axes at a speed of 500 times asecond.
Abstract: A numerical path control system including a time shared digital computer generating for each of a plurality of axes regularly recurring numerical excursion commands. A two axis system is shown to be capable of deriving from a small number of data words successive straight line path or circular arc path command signals at a rate of 50 times a second and of converting these into intermediate or secondary command signals which are applied to the servos of the machine axes at a rate of 500 times a second.
TL;DR: New high-order methods for solving the special second-order equation y″ = f(x, y) are shown to exist, based on quasi-Hermite interpolating polynomials, as well as new explicit generalized methods for a first- order equation.
Abstract: The theory of generalized multistep methods using an off-grid point is extended to the special second-order equation y″ = f(x, y). New high-order methods for solving this equation, based on quasi-Hermite interpolating polynomials, are shown to exist, as well as new explicit generalized methods for a first-order equation. Some results in the theory of quasi-Hermite interpolation are given, and results of computations of an unperturbed orbit trajectory are presented.
TL;DR: In this paper, an attempt to manipulate the amount of unlearning in multiple-interpolation groups by varying second-list dominance prior to the introduction of new lists was made.
TL;DR: The existence of nonnegative interpolation formulas for functions which are solutions of second-order uniformly elliptic equations over bounded domains is shown.
TL;DR: In this paper, a corrective change is made in the data block representing a given path segment if the preceding path segment did not terminate exactly at its designated end point, where the preceding segment is represented by successive blocks of data.
Abstract: Successive linear or circular arc path segments are represented by successive ''''blocks'''' of data. A corrective change is made in the data block representing a given path segment if the preceding path segment did not terminate exactly at its designated end point.