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Polynomials

The enthalpy of pure hydrocarbons In the ideal gas state has been fitted to a fifth order polynomial equation of temperature. The corresponding is a polynomial of the fourth order ... [Pg.138]

Where Ui denotes input number i and there is an implied summation over all the inputs in the expression above A, Bj, C, D, and F are polynomials in the shift operator (z or q). The general structure is defined by giving the time delays nk and the orders of the polynomials (i.e., the number of poles and zeros of the dynamic models trom u to y, as well as of the noise model from e to y). Note that A(q) corresponds to poles that are common between the dynamic model and the noise model (useful if noise enters system close to the input). Likewise Fj(q) determines the poles that are unique for the dynamics from input number i and D(q) the poles that are unique for the noise N(t). [Pg.189]

In case if amplitude-frequency characteristics of TF can be expressed through polynomial characteristic equation, stability of the system is determined by value of roots of characteristic equation. There are two rules that can be used in this case ... [Pg.191]

For each frequency 100 points were taken along a line running from the surface of the conductor into a depth of 30 mm in that region below the coil, where the maximum eddy currents are located (dashed vertical lines in the sketch). These data are fitted by appropriate polynomials to obtain an analytical expression for s (to, z) in the frequency and depth interval mentioned above. [Pg.256]

Lane improved on these tables with accurate polynomial fits to numerical solutions of Eq. 11-17 [16]. Two equations result the first is applicable when rja 2... [Pg.15]

Functional fonns used for the repulsion include the simple exponential multiplied by a linear combmation of powers (possibly non-mteger) of r, a generalized exponential function exp(-h(r)), where b r) is typically a polynomial in r, and a combination of these two ideas. [Pg.207]

The interaction energy can be written as an expansion employing Wigner rotation matrices and spherical hamionics of the angles [28, 130], As a simple example, the interaction between an atom and a diatomic molecule can be expanded hr Legendre polynomials as... [Pg.208]

Deuflhard P and Wulkow M 1989 Computational treatment of polyreaction kinetics by orthogonal polynomials of a discrete variable Impact of Computing in Science and Engineering vol 1... [Pg.796]

It is convenient to expand7 (0) in a basis of Legendre polynomials / (cos 0) (as these define the natural... [Pg.978]

The first tenn is zero if j due to the orthogonality of the Hemiite polynomials. The recursion relation in equation (B 1,2.4 ) is rearranged... [Pg.1158]

Figure Bl.12.11. Angular variation of the second- and fourth-rank Legendre polynomials. Figure Bl.12.11. Angular variation of the second- and fourth-rank Legendre polynomials.
Wlien expanded as a series of Legendre polynomials /Jj (cos 0), tire differential cross section has the following form... [Pg.2033]

The Taylor series by itself is not numerically stable, since the individual temis can be very large even if the result is small, but other polynomials which are highly convergent can be found, e.g. Chebyshev [M, M and M] or Lancosz polynomials [, 68]. [Pg.2301]

Mandelshtam V A and Taylor H S 1995 A simple recursion polynomial expansion of the Green s function with absorbing boundary conditions. Application to the reactive scattering J. Chem. Phys. 102... [Pg.2325]

An orientational order parameter can be defined in tenns of an ensemble average of a suitable orthogonal polynomial. In liquid crystal phases with a mirror plane of symmetry nonnal to the director, orientational ordering is specified. [Pg.2555]

This is written in terms of zt-, the moduli of the roots Zk-, since the roots are either real or come in mutually complex conjugate pairs. In any case, this constant term can be absorbed in the polynomial P t) in Eq. (15).]... [Pg.122]

This algorithm was improved by Chen et al. [78] to take into account the surface anhannonicity. After taking a step from Rq to R[ using the harmonic approximation, the true surface information at R) is then used to fit a (fifth-order) polynomial to fomi a better model of the surface. This polynomial model is then used in a coirector step to give the new R,. [Pg.267]

An alternative to using a superposition of Gaussian functions is to extend the basis set by using Hermite polynomials, that is, hamonic oscillator functions [24]. This provides an orthonormal, in principle complete, basis set along the bajectoiy, and the idea has been taken up by Billing [151,152]. The basic problem with this approach is the slow convergence of the basis set. [Pg.275]

In the work of King, Dupuis, and Rys [15,16], the mabix elements of the Coulomb interaction term in Gaussian basis set were evaluated by solving the differential equations satisfied by these matrix elements. Thus, the Coulomb matrix elements are expressed in the form of the Rys polynomials. The potential problem of this method is that to obtain the mabix elements of the higher derivatives of Coulomb interactions, we need to solve more complicated differential equations numerically. Great effort has to be taken to ensure that the differential equation solver can solve such differential equations stably, and to... [Pg.409]

We shall expand the polynomial of z. But recalling that only terms of the even power of z do not vanish, we can write the expansion in the following form ... [Pg.424]

Next, we shall consider the integral basically corresponding to the Rys polynomial problem [15,16]. Letting... [Pg.447]

The present perturbative beatment is carried out in the framework of the minimal model we defined above. All effects that do not cincially influence the vibronic and fine (spin-orbit) stracture of spectra are neglected. The kinetic energy operator for infinitesimal vibrations [Eq. (49)] is employed and the bending potential curves are represented by the lowest order (quadratic) polynomial expansions in the bending coordinates. The spin-orbit operator is taken in the phenomenological form [Eq. (16)]. We employ as basis functions... [Pg.533]


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Acyclic polynomial

Adomian polynomial

Alexander Polynomials as a Tool for Numerical Investigations of Polymers with Topological Constraints

Alexander polynomial

Algebra polynomial equation

Altenburg polynomial

Auxiliary polynomial

Background function polynomial

Bernstein polynomial

Best polynomials

Bezier polynomials

Binding polynomials

Caglioti polynomial

Cartesian Hermite polynomials

Characteristic polynomial

Chebychev polynomial

Chebyshev polynomial expansion

Chebyshev polynomials

Clar polynomials

Collocation polynomial

Complex functions polynomials

Complex reactions polynomial kinetics

Convolution polynomial

Curve fit polynomial

Curve fitting polynomial

Degree of a polynomial

Degree polynomial

Differences of Polynomials

Differentiation of a Lagrange Interpolation Polynomial

Direct methods polynomial approximation

Distance polynomial

Errors polynomial function

Evaluating Polynomials or Power Series Using Array Formulas

Evaluating polynomial

Examples polynomial fitting

Excel polynomial fitting

Expansion polynomials

Expected polynomial-time

Faber polynomials

Fitting Polynomials Using Taylor Expansions

Fitting orthogonal polynomials

Forsythe polynomials

Fourier polynomial series

Free-energy profiles, computation polynomial quadrature method

Function inverse polynomial interpolation

Function polynomial

Function spaces Legendre polynomials

Gaussian quadrature orthogonal polynomials

Gegenbauer polynomial

General polynomials

General polynomials quadratic

Generating polynomials

Gottlieb polynomials

Gram polynomials

Graphs to analyze relaxations. General form of characteristic polynomial

Harmonic oscillator Hermite polynomials

Harmonic polynomials

Heat Capacity at Constant Pressure of Inorganic and Organic Compounds in the Ideal Gas State Fit to a Polynomial Cp

Hermit polynomials

Hermite polynomials

Hermite polynomials definition

Hermite polynomials normalization

Hermite polynomials table

Hermite polynomials, dielectric relaxation equation

Hermitian polynomials

Hilbert polynomial

Homogeneous Harmonic Polynomials of Three Variables

Homogeneous Polynomials in Two Variables

Homogeneous harmonic polynomials

Homogeneous polynomials

INDEX polynomial

Interpolating polynomials

Intervals for Full Second-Order Polynomial Models

Inverse Polynomial Interpolation Method

Jacobi polynomials

Jones polynomial

Kauffman-type polynomial invariant

Kernel function polynomial

Kernels Polynomial

Kinetic polynomial

Kinetic polynomial coefficients

Kinetic polynomial equation

Kinetics polynomial

Knot polynomials

Lagrange interpolating polynomial

Lagrange interpolation polynomial

Lagrange polynomials

Laguerre polynomials

Laguerre polynomials associated

Laguerre polynomials table

Laguerre’s polynomials

Lame polynomials

Lame polynomials functions

Lanczos orthogonal polynomials

Lanczos polynomials

Lanczos polynomials completeness

Lanczos polynomials matrix

Laplacian polynomial

Laurent polynomial

Least-square constraints polynomial

Least-square polynomials

Legendre equation polynomial

Legendre functions polynomials

Legendre polynomial averaging

Legendre polynomial potential parameters

Legendre polynomial profiles

Legendre polynomial recurrence relation

Legendre polynomial spherical harmonics

Legendre polynomial times

Legendre polynomial, second order

Legendre polynomials

Legendre polynomials 570 INDEX

Legendre polynomials analysis

Legendre polynomials associated

Legendre polynomials equation, spherical coordinates

Legendre polynomials integral evaluation

Legendre polynomials orthogonality property

Legendre polynomials simulation

Legendre polynomials table

Legendre polynomials, intermolecular

Legendre polynomials, polymer orientation

Legendre s polynomial

Leguerre polynomials

Linear regression polynomials

Local polynomial structure

Low-order polynomials

MATLAB polynomials

Matching polynomial

Mathematics polynomial equations

Matlab polynomial fitting

Matrices polynomial

Matrix Polynomials and Power Series

Matrix characteristic polynomial

Matrix polynomial product

Model, mathematical polynomial

Modelling polynomial state

Models full second-order polynomial

Models polynomial

Molecular graph polynomials

Moments orthogonal polynomials

Monic polynomial

NASA Polynomials

NASA polynomials coefficients

NASA polynomials computer program

Newton forward difference polynomial

Newton-Gregory forward polynomial

Nondeterministic polynomial time

Nonlinear models polynomial functions

Numerical methods polynomial approximation

Nutrient rational polynomials

Omega polynomial

Omega polynomial function

On Characteristic Polynomial

On Construction of the Characteristic Polynomial

On Factoring of Characteristic Polynomial

Orthogonal Chebyshev polynomials

Orthogonal collocation Jacobi polynomial roots

Orthogonal polynomial expansions

Orthogonal polynomial methods

Orthogonal polynomials

Orthogonal polynomials orthogonality relations

Orthogonal polynomials tables

Orthonormal polynomials

P-polynomial

Parameter estimation polynomial

Permanental polynomial

Piecewise Polynomial Schemes

Piecewise polynomial basis

Piecewise polynomials

Poincare polynomial of

Poincare polynomials of Hilbert schemes

Poincare polynomials of the Hilbert schemes

Polymerization polynomials)

Polymers polynomials)

Polynomial Approach

Polynomial Based Optimisation

Polynomial Based Optimisation Framework - A New Approach

Polynomial MATLAB roots

Polynomial PLS

Polynomial Quadrature Method

Polynomial Regression Using Excel

Polynomial Time

Polynomial Time Isomorphism Subgraphs

Polynomial activity coefficients

Polynomial algebraic equations

Polynomial analysis

Polynomial analysis poles and zeros

Polynomial and Lagrange Interpolation

Polynomial and kinetic differential equations

Polynomial approximation

Polynomial approximation and basis transformation

Polynomial baseline correction

Polynomial basis functions

Polynomial change

Polynomial coefficients

Polynomial criterion

Polynomial curves

Polynomial definition

Polynomial dependence

Polynomial differential equation

Polynomial electrodes

Polynomial equation

Polynomial equation degree

Polynomial equations quadratic formula

Polynomial equations, applications

Polynomial expansion method

Polynomial expression

Polynomial extension

Polynomial filter

Polynomial fit

Polynomial fitting Savitzky-Golay filter

Polynomial fitting using Excel

Polynomial fitting using Matlab

Polynomial full second-order

Polynomial generating function

Polynomial inner relationships

Polynomial interpolation

Polynomial interpolation method

Polynomial length

Polynomial lit

Polynomial map

Polynomial methods

Polynomial modified Gaussian

Polynomial order

Polynomial orthogonal polynomials

Polynomial pieces

Polynomial prediction

Polynomial primitive

Polynomial product

Polynomial regression analysis

Polynomial regression model

Polynomial regression over-fitting

Polynomial representations

Polynomial representations applications

Polynomial representations extrapolation

Polynomial resources

Polynomial retention models

Polynomial rings

Polynomial root interpolation

Polynomial roots

Polynomial second-degree

Polynomial sequences

Polynomial series

Polynomial smoothing

Polynomial subdistribution method

Polynomial terms

Polynomial, fitting with

Polynomial-time in the interface inputs alon

Polynomials Newton

Polynomials approximation methods

Polynomials finite-difference techniques

Polynomials fitting

Polynomials high-degree

Polynomials mathematical modeling

Polynomials of Higher Degree

Polynomials reaction

Polynomials, evaluating using array

Polynomials, third degree

Polynomials, usage

Potentials polynomial expansions

Probabilistic polynomial-time

Program for finding coefficients of NASA Polynomials

Quadratic polynomial

Quintic polynomial

Rational Polynomials

Recurrence Relations for the Legendre Polynomials

Redlich-Kister polynomial

Regression polynomial

Relationship to orthogonal polynomials

Reliability of fitted polynomial parameters

Resonant polynomial

Revisiting the Characteristic Polynomial

Rodrigues expression Legendre polynomials

Rodrigues polynomials

Roots of a polynomial

Rys’ polynomials

Savitzky-Golay polynomial

Second order polynomial equation

Second-order polynomial model

Second-order polynomial quadratic

Second-order polynomial quadratic model

Second-order polynomials

Sextet polynomial

Shape polynomials

Shifted Legendre polynomials

Ship Evolutionary Trajectory Planning Method with Application of Polynomial Interpolation

Single polynomial

Slater polynomials

Smoothing by Sliding Polynomials (Savitzky-Golay Method)

Solution of nth-Degree Polynomials and Transfer Functions

Solution polynomial

Sonine polynomials

Specific heat temperature polynomial

Spherical polynomials

Spline polynomial background

Splines (Piecewise Polynomial Regression)

Stress-strain polynomial

Table of Coefficient Sets for NASA Polynomials

Tables Jacobi polynomial roots

Tables of Orthogonal Polynomials

Taylor polynomial

The Altenburg Polynomial

The Associated Laguerre Polynomials and Functions

The Distance Polynomial

The Lagrange Polynomials and Cubic Splines

The Laguerre Polynomials

The flexing geometry of full second-order polynomial models

The polynomial representation

Thermochemical polynomials in combustion chemistry

Thermocouple polynomials

Thermodynamic data polynomials

Thermodynamics polynomials)

Third-order polynomial function

Trigonometric polynomials

Tschebysheff polynomials

Using polynomial functions to characterize the bo surface

Zernike polynomials

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