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X-parameters are a generalization of S-parameters and are used for characterizing the amplitudes and relative phase of harmonics generated by nonlinear
X-parameters
Variable that represents an argument to a function
corresponding parameter. For example, consider the Python function def add(x: int, y: int) -> int: return x + y Variables x and y are parameters, each of type
Parameter (computer programming)
Parameter_(computer_programming)
Variable used for specification
as parameters in the equations modeling movements. There are often several choices for the parameters, and choosing a convenient set of parameters is
Parameter
Set of properties used in electrical engineering
Impedance parameters or Z-parameters (the elements of an impedance matrix or Z-matrix) are properties used in electrical engineering, electronic engineering
Impedance_parameters
Set of values that describe the polarization state of electromagnetic radiation
it as the Stokes parameters. The relationship of the Stokes parameters S0, S1, S2, S3 to intensity and polarization ellipse parameters is shown in the
Stokes_parameters
Values which describe behavior of a linear electric circuit
Scattering parameters or S-parameters are the elements of a scattering matrix or S-matrix which describe the steady state response of linear electrical
Scattering_parameters
Concept in statistics
additional parameters, and f θ {\displaystyle f_{\theta }} is a function parametrized on the additional parameters. Source: Let f ( x ) {\displaystyle f(x)} be
Location_parameter
Process of estimating the parameters of a pinhole camera model
parameters of the specific camera model. These parameters encompass focal length, image sensor format, and camera principal point. The parameters α x
Camera_resectioning
Probability distribution
is a two-parameter exponential family with natural parameters α − 1 and −1/θ (equivalently, α − 1 and −β), and natural statistics X and ln X. If the shape
Gamma_distribution
Set of quantities in accelerator physics
accelerator physics, the Courant–Snyder parameters (frequently referred to as Twiss parameters or CS parameters) are a set of quantities used to describe
Courant–Snyder_parameters
Function of observations and unobservable parameters
unobservable parameters such that the function's probability distribution does not depend on the unknown parameters (including nuisance parameters). A pivot
Pivotal_quantity
Probability distribution
variable X with two parameters α and β is a function of only the ratio β/α of these parameters: μ = E [ X ] = ∫ 0 1 x f ( x ; α , β ) d x = ∫ 0 1 x x α −
Beta_distribution
Statistical measure
that there is a parameter s (and other parameters θ) for which the cumulative distribution function satisfies F ( x ; s , θ ) = F ( x / s ; 1 , θ ) ,
Scale_parameter
Representation of a curve by a function of a parameter
point, as functions of one or more variables called parameters. In the case of a single parameter, parametric equations are commonly used to express the
Parametric_equation
Convention for attaching reference frames to links of a kinematic chain
mechatronics engineering, the Denavit–Hartenberg parameters (also called DH parameters) are the four parameters associated with the DH convention for attaching
Denavit–Hartenberg_parameters
Statistical Markov model
{\displaystyle t=t_{0}} given X {\displaystyle X} at time t = t 0 {\displaystyle t=t_{0}} . Estimation of the parameters in an HMM can be performed using
Hidden_Markov_model
Procedure for solving differential equations
Sometimes variation of parameters itself is called Duhamel's principle and vice versa. The method of variation of parameters was first sketched by the
Variation_of_parameters
Phase space parameters in leptonic decays
The Michel parameters, usually denoted by ρ , η , ξ {\displaystyle \rho ,\eta ,\xi } and δ {\displaystyle \delta } , are four parameters used in describing
Michel_parameters
X Window System parameters
In the X Window System, the X resources are parameters of computer programs such as the name of the font used in the buttons, the background color of
X_resources
Concept in computer programming
conjunction with optional parameters. Without named parameters, optional parameters can only appear at the end of the parameter list, since there is no
Named_parameter
Set of values for a mathematical model
the parameter space, together with continuity of the objective function, suffices for the existence of an extremum estimator. Sometimes, parameters are
Parameter_space
Electric circuit with two pairs of terminals
models that are used are referred to as z-parameters, y-parameters, h-parameters, g-parameters, and ABCD-parameters, each described individually below. These
Two-port_network
Set of electromechanical parameters
Thiele/Small parameters (commonly abbreviated T/S parameters, or TSP) are a set of electromechanical parameters that define the specified low frequency
Thiele/Small_parameters
Approximation method in statistics
the parameters, so in general these gradient equations do not have a closed solution. Instead, initial values must be chosen for the parameters. Then
Non-linear_least_squares
Family of probability distributions related to the normal distribution
x h ( x ) e η T ( x ) d x + g ′ ( η ) ∫ x h ( x ) e η T ( x ) d x = g ( η ) ∫ x h ( x ) ( d d η e η T ( x ) ) d x + g ′ ( η ) ∫ x h ( x ) e η T ( x )
Exponential_family
Rule in materials science
structure. Here, aA(1-x)Bx is the lattice parameter of the solid solution, aA and aB are the lattice parameters of the pure constituents, and x is the molar fraction
Vegard's_law
Parameters for molecular sterics
value, Sterimol parameters consist of three sub-parameters: one length parameter (L), and two width parameters (B1, B5). The three parameters add together
Sterimol_parameter
Technique for the characterisation of crystalline materials
of many free parameters, including peak shape, unit cell dimensions and coordinates of all atoms in the crystal structure. Other parameters can be guessed
Rietveld_refinement
Formula for 3D vector rotation
{\vec {x}})\right)} The parameters (a, b, c, d) and (−a, −b, −c, −d) describe the same rotation. Apart from this symmetry, every set of four parameters describes
Euler–Rodrigues_formula
Characteristic values of a plasma
on a limited number of global parameters instead of tracking each particle separately. The fundamental plasma parameters in a steady state are the number
Plasma_parameters
Equations modelling predator–prey cycles
d x d t {\displaystyle {\tfrac {dx}{dt}}} represent the instantaneous growth rates of the two populations; t represents time; The prey's parameters, α
Lotka–Volterra_equations
languages that allow procedural parameters, the scoping rules are usually defined in such a way that procedural parameters are executed in their native scope
Procedural_parameter
Continuous probability distribution
X ≤ x ) = e − x − α if x > 0 . {\displaystyle \ \Pr(\ X\leq x\ )=e^{-x^{-\alpha }}~{\text{ if }}~x>0~.} where α > 0 is a shape parameter. It
Fréchet_distribution
Statistical technique for smoothing categorical data
Given a set of observation counts x = ⟨ x 1 , x 2 , … , x d ⟩ {\displaystyle \mathbf {x} =\langle x_{1},x_{2},\ldots ,x_{d}\rangle } from a d {\displaystyle
Additive_smoothing
Function related to statistics and probability theory
it becomes a function solely of the model parameters. In maximum likelihood estimation, the model parameter(s) or argument that maximizes the likelihood
Likelihood_function
Terms that have the same variables and powers (in Algebra)
considered as parameters, like terms are defined similarly, but "numerical factors" must be replaced by "factors depending only on the parameters". For example
Like_terms
Probability distribution
X ( x ) = d d x Pr X [ X ≤ x ] = d d x Pr X [ ln X ≤ ln x ] = d d x Φ ( ln x − μ σ ) = φ ( ln x − μ σ ) d d x ( ln x − μ σ ) = φ ( ln x −
Log-normal_distribution
Probability distribution
with parameters α 1 , … , α K > 0 {\displaystyle \alpha _{1},\ldots ,\alpha _{K}>0} has a probability density function given by f ( x 1 , … , x K ; α
Dirichlet_distribution
Probability distribution
{\displaystyle X_{1},X_{2},\ldots ,X_{n}} are independent and Cauchy distributed with location parameters x 1 , … , x n {\displaystyle x_{1},\ldots ,x_{n}} and
Cauchy_distribution
Iterative method for finding maximum likelihood estimates in statistical models
the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates
Expectation–maximization algorithm
Expectation–maximization_algorithm
Concept in probability theory
of the parameters of the original distribution. If all parameters are scalar values, then there will be one more hyperparameter than parameter; but this
Conjugate_prior
Probability distribution
the posterior parameters in terms of the prior parameters: τ 0 ′ = τ 0 + n τ μ 0 ′ = n τ x ¯ + τ 0 μ 0 n τ + τ 0 x ¯ = 1 n ∑ i = 1 n x i {\displaystyle
Normal_distribution
Kind of numerical parameter of a parametric family of probability distributions
Many estimators measure location or scale; however, estimators for shape parameters also exist. Most simply, they can be estimated in terms of the higher
Shape_parameter
Cohort born from 1965 to 1980
Generation X, often shortened to Gen X, is the demographic cohort following the baby boomers and preceding Millennials. Researchers and popular media
Generation_X
Probability distribution
X ( i ) X ( j ) ] = ∫ 0 ∞ E [ X ( i ) X ( j ) ∣ X ( i ) = x ] f X ( i ) ( x ) d x = ∫ x = 0 ∞ x E [ X ( j ) ∣ X ( j ) ≥ x ] f X ( i ) ( x ) d x (
Exponential_distribution
Method of statistical analysis
about the parameters is combined with the data's likelihood function according to Bayes' theorem to yield the posterior belief about the parameters β {\displaystyle
Bayesian_linear_regression
American thunderstorm prediction index
tornado parameter "Mesoscale Parameters". National Weather Service. Retrieved 2026-05-04. "Climatology of the Supercell Composite Parameter (1979–2004)"
Supercell_composite_parameter
Branch of statistics to estimate models based on measured data
with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical
Estimation_theory
Statistical parameter needed for a model but not of primary interest
a nuisance parameter is any parameter which is unspecified but which must be accounted for in the hypothesis testing of the parameters which are of
Nuisance_parameter
American tornado prediction index
"Significant Tornado Parameter (STP)". NOAA. Retrieved 2025-04-21. Thompson, Rich. "EXPLANATION OF SPC SEVERE WEATHER PARAMETERS". Storm Prediction Center
Significant_tornado_parameter
Of the spiking-bursting behavior of a neuron
control parameters. Usually the parameter I, which means the current that enters the neuron, is taken as a control parameter. Other control parameters used
Hindmarsh–Rose_model
Rewriting system and type of formal grammar
parameters of the already existing module are transformed. Under the above production rule, a(0,2) Becomes a(1,3)b(2,3) as the "x" parameter of a(x,y)
L-system
Continuous probability distribution
values of the parameters α {\displaystyle \alpha } and β {\displaystyle \beta } , but possibly different values of the other parameters, λ 1 {\displaystyle
Variance-gamma_distribution
Distribution of new data marginalized over the posterior
factors containing only parameters, and (3) factors whose logarithm factorizes between variables and parameters. The presence of χ + T ( x ) χ {\displaystyle
Posterior predictive distribution
Posterior_predictive_distribution
Network parameter data file
of the S-parameter section is given in the article about S-parameters. In addition to S-parameters, other representations such as Y-parameters and Z-parameters
Touchstone_file
Parameter estimation technique in statistics
number of parameters to be estimated. Those equations are then solved for the parameters of interest. The solutions are estimates of those parameters. The
Method of moments (statistics)
Method_of_moments_(statistics)
Transformation method within a three-dimensional space
called seven-parameter transformation. The Helmert transformation can be expressed as: X T = C + μ R X {\displaystyle X_{T}=C+\mu RX\,} where X is the initial
Helmert_transformation
Distributional regression model
and scale parameters, while the remaining parameter(s), if any, are characterised as shape parameters, e.g. skewness and kurtosis parameters. The model
Generalized additive model for location, scale and shape
Generalized_additive_model_for_location,_scale_and_shape
Sigmoid shape special function
with three extra parameters, erf ( x ) ≈ 1 − ( a 1 t + a 2 t 2 + ⋯ + a 5 t 5 + a 6 t 6 + a 7 t 7 ) e − x 2 , t = 1 1 + p 1 x + p 2 x 2 {\displaystyle
Error_function
Describing something mathematical with variables
minimum number of parameters required to describe a model or geometric object is equal to its dimension, and the scope of the parameters—within their allowed
Parametrization_(geometry)
Mathematical function
width parameters of the function. There are three unknown parameters for a 1D Gaussian function (a, b, c) and five for a 2D Gaussian function ( A ; x 0
Gaussian_function
Factor in X-ray crystallography
In X-ray crystallography, the Flack parameter is a factor used to estimate the absolute configuration of a structural model determined by single-crystal
Flack_parameter
Set of statistical processes for estimating the relationships among variables
squares) to estimate the parameters of that model. Regression models involve the following components: The unknown parameters, often denoted as a scalar
Regression_analysis
Continuous probability distribution
{x}{\lambda }}\right)^{k-1}e^{-(x/\lambda )^{k}},&x\geq 0,\\0,&x<0,\end{cases}}} where k > 0 is the shape parameter and λ > 0 is the scale parameter of
Weibull_distribution
Thermodynamic extension of Debye–Hückel theory
by physical chemist Kenneth Pitzer. The parameters of the Pitzer equations are linear combinations of parameters, of a virial expansion of the excess Gibbs
Pitzer_equations
Software testing method
all parameters by "parallelizing" the tests of parameter pairs. In most cases, a single input parameter or an interaction between two parameters is what
All-pairs_testing
Range to estimate an unknown parameter
X 1 , … , X n {\displaystyle X_{1},\ldots ,X_{n}} is an independent sample from a normally distributed population with unknown parameters mean μ {\displaystyle
Confidence_interval
Notion in statistics
information that an observable random variable X carries about an unknown parameter θ of a distribution that models X. Formally, it is the variance of the score
Fisher_information
Method of estimating the parameters of a statistical model, given observations
{\displaystyle X} and Y {\displaystyle Y} differ only by a factor that does not depend on the model parameters. For example, the MLE parameters of the log-normal
Maximum_likelihood_estimation
Class of statistical models
unknown parameters β; g is the link function. In this framework, the variance is typically a function, V, of the mean: Var ( Y ∣ X ) = V ( g − 1 ( X β )
Generalized_linear_model
Statistics models class
using smoothing parameters. For example, consider the situation in which all the smooths are univariate functions. Writing all the parameters in one vector
Generalized_additive_model
Multiplicative factor in a mathematical expression
the variable x {\displaystyle x} in the polynomial a x 2 + b x + c {\displaystyle ax^{2}+bx+c} have coefficient parameters a {\displaystyle a} , b {\displaystyle
Coefficient
Probability distribution
x ) = Pr ( X > x ) = { ( x m x ) α x ≥ x m , 1 x < x m , {\displaystyle {\overline {F}}(x)=\Pr(X>x)={\begin{cases}\left({\frac {x_{\mathrm {m} }}{x}}\right)^{\alpha
Pareto_distribution
Computing joint values of a kinematic chain from a known end position
configuration of the chain in terms of its joint parameters. Forward kinematics uses the joint parameters to compute the configuration of the chain, and
Inverse_kinematics
Method for estimating the unknown parameters in a linear regression model
column vector x i {\displaystyle \mathbf {x} _{i}} of p {\displaystyle p} parameters (regressors), i.e., x i = [ x i 1 , x i 2 , … , x i p ] T {\displaystyle
Ordinary_least_squares
Conventional name of the gamma distribution when applied to macromolecular polydispersity
only a shape parameter k, the scale being fixed at θ=1/k. Accordingly, the probability density function is f ( x ) = k k x k − 1 e − k x Γ ( k ) , {\displaystyle
Schulz–Zimm_distribution
Criterion for model selection
{\displaystyle k} = the number of parameters estimated by the model. For example, in multiple linear regression, the estimated parameters are the intercept, the
Bayesian information criterion
Bayesian_information_criterion
Measure of change in amplitude and phase of a wave
referenced separately but collectively as in transmission parameters, propagation parameters, etc. In transmission line theory, α and β are counted among
Propagation_constant
Distribution of variables which satisfies a stability property under linear combinations
have studied it. Of the four parameters defining the family, most attention has been focused on the stability parameter, α {\displaystyle \alpha } (see
Stable_distribution
Regulation of nonlinear systems
y=C(w(t))x(t)+D(w(t))u(t)} Parameter-dependent systems are linear systems, whose state-space descriptions are known functions of time-varying parameters. The
Linear parameter-varying control
Linear_parameter-varying_control
Convolutional neural network structure
48120 trainable parameters. F6: 84 {\displaystyle 84} units fully connected to C5, with trainable parameters, with 10164 trainable parameters. Output: 10
LeNet
Uniform distribution on an interval
distribution with (rate) parameter λ. If X has a standard uniform distribution, then Y = Xn has a beta distribution with parameters (1/n,1). As such, The
Continuous uniform distribution
Continuous_uniform_distribution
as β ( x 1 , x 2 , x 3 ) = r e m ( x 1 , 1 + ( x 3 + 1 ) ⋅ x 2 ) = r e m ( x 1 , ( x 3 ⋅ x 2 + x 2 + 1 ) ) , {\displaystyle \beta (x_{1},x_{2},x_{3})=\mathrm
Gödel's_β_function
Input to a mathematical function
also contain parameters. The independent variables are mentioned in the list of arguments that the function takes, whereas the parameters are not. For
Argument_of_a_function
Approximation method in statistics
value of the parameters β {\displaystyle \beta } that minimizes the objective. Most algorithms involve choosing initial values for the parameters. Then, the
Least_squares
Theory and paradigm of statistics
probability distribution that quantifies the belief to the parameter or set of parameters. Bayesian statistics is named after Thomas Bayes, who formulated
Bayesian_statistics
Phenomenon in decision theory and estimation theory
parameters, a single measurement X i {\displaystyle X_{i}} is performed for each parameter θ i {\displaystyle \theta _{i}} , resulting in a vector X {\displaystyle
Stein's_example
Statistical modeling method
depend linearly on their unknown parameters are easier to fit than models which are non-linearly related to their parameters and because the statistical properties
Linear_regression
Continuous probability distribution
of the parameters α {\displaystyle \alpha } and β {\displaystyle \beta } , but possibly different values of the location and scale parameters, μ 1 {\displaystyle
Normal-inverse Gaussian distribution
Normal-inverse_Gaussian_distribution
Area of mathematics
In the following examples, parameters like a , b {\displaystyle a,b} are such controls. V = x 3 + a x {\displaystyle V=x^{3}+ax\,} When a < 0, the potential
Catastrophe_theory
Mathematical model of the Big Bang
model is based on six parameters: baryon density parameter; dark matter density parameter; scalar spectral index; two parameters related to curvature fluctuation
Lambda-CDM_model
Proposition in statistics
function f X ( x ∣ θ ) {\displaystyle \;f_{X}(x\mid \theta )\;} of observable random variable X {\displaystyle \,X\,} as a function of a parameter θ {\displaystyle
Likelihood_principle
Mathematical methods used in Bayesian inference and machine learning
distributions' parameters, which depend in turn on the expectations about other variables. The result is that the formulas for the parameters of each variable's
Variational_Bayesian_methods
Statistical concept
K parameters, each specifying the parameter of the corresponding mixture component. In many cases, each "parameter" is actually a set of parameters. For
Mixture_model
Reusable robotic spaceplane used by US military since 2010
The Boeing X-37, also known as the Orbital Test Vehicle (OTV), is a reusable robotic spacecraft. It is boosted into space by a launch vehicle, re-enters
Boeing_X-37
Statistical method
model parameters. The algorithm checks which elements of the entire dataset are consistent with the model instantiated by the estimated model parameters obtained
Random_sample_consensus
Science of characterizing uncertainties
a single term E.g., when experimental parameters show aleatoric uncertainty, and those experimental parameters are input to a computer simulation. If
Uncertainty_quantification
Probability distribution
( x ) = 2 π R 2 R 2 − x 2 {\displaystyle f(x)={2 \over \pi R^{2}}{\sqrt {R^{2}-x^{2}\,}}\,} for −R ≤ x ≤ R, and f(x) = 0 if |x| > R. The parameter R is
Wigner semicircle distribution
Wigner_semicircle_distribution
Distribution over functions corresponding to an infinitely wide Bayesian neural network
Consider a fully connected artificial neural network with inputs x {\displaystyle x} , parameters θ {\displaystyle \theta } consisting of weights W l {\displaystyle
Neural network Gaussian process
Neural_network_Gaussian_process
Chaotic model of atmospheric convection
The behavior of the system depends on the choice of parameters. For some ranges of parameters, the system is predictable: trajectories settle into fixed
Lorenz_system
X PARAMETERS
X PARAMETERS
Biblical
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Surname or Lastname
English
English : from the personal name Perceval, first found as the name of the hero of an epic poem by the 12th-century French poet Crestien de Troyes, describing the quest for the holy grail. The origin of the name is uncertain; it may be associated with the Gaulish personal name Pritorīx or it may be an alteration of the Celtic name Peredur (see Priddy). It seems to have been altered as the result of folk etymological association with Old French perce(r) ‘to pierce or breach’ + val ‘valley’.English : Norman habitational name from either of the two places in Calvados named Perceval.
Biblical
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Surname or Lastname
English
English : topographic name for someone who lived by a grove or thicket, Middle English grove, Old English grÄf.English (Huguenot) : Americanized spelling of the French surname Le Grou(x) or Le Greux (see Groulx).North German form of Grob.North German : habitational name from any of several places named Grove or Groven in Schleswig-Holstein, which derive their name from Middle Low Germany grÅve ‘ditch’, ‘channel’. In some cases the name is a Dutch or Low German form of Grube.Altered form of German Graf.The surnames Grove and Groves are common mainly in the West Midlands. A Huguenot family who acquired the name Grove are descended from a certain Isaac Le Greux or Grou(x) or his brother. They fled from Tours in France in the late 17th century and settled in Spitalfields, London. Their children were known as Grou(x) or Grove; their grandchildren also used the form Grew; but their great-grandchildren, born at the end of the 18th century, were universally Grove.
X PARAMETERS
X PARAMETERS
Girl/Female
French, German
Archer; Variant of Yvonne
Boy/Male
Muslim
Name of a popular poet
Boy/Male
Hindu
Girl/Female
Indian
Divine
Boy/Male
Hindu, Indian
The Sky as the Adobe of the Three Worlds
Boy/Male
American, British, English
Town Dweller; Lives in Town
Girl/Female
Assamese, Gujarati, Hindu, Indian, Italian, Kannada, Malayalam, Marathi, Mythological, Oriya, Sanskrit, Tamil, Telugu
Chants; Hymn; The Writing of the Vedas; The Etymological Origin of Richa is the Sanskrit Word; Ric means to Praise
Male
Hebrew
(ש×ְלמׄה) Contracted form of Hebrew Shelomoh, SHLOMO means "peaceable."Â
Boy/Male
Biblical
Saying, speaking, a lamb.
Girl/Female
Australian, French, Latin, Romanian
Young; Descended from Jupiter (Jove)
X PARAMETERS
X PARAMETERS
X PARAMETERS
X PARAMETERS
X PARAMETERS
n.
A descendant of Ham, Noah's second son. See Gen. x. 6-20.
v. t.
To cross at an acute angle; to cut or divide in the form of X; to intersect; -- said of lines in geometrical figures, rays of light, nerves, etc.
n.
A tree or wood of the Bible (2 Chron. ii. 8; 1 K. x. 11).
n.
A writing paper made in sheets, ordinarily 16 x 13 inches, and folded so as to make a page 13 x 8 inches. See Paper.
n.
A species of armadillo of the genus Xenurus (X. unicinctus and X. hispidus); the tatouay.
n.
A mysterious composite being, the winged footstool and chariot of the Almighty, described in Ezekiel i. and x.
n.
Expressing number; representing number; as, numeral letters or characters, as X or 10 for ten.
n.
A symbol representing ten units, as 10, x, or X.
n.
A quantity so connected with another quantity, that if any alteration be made in the latter there will be a consequent alteration in the former. Each quantity is said to be a function of the other. Thus, the circumference of a circle is a function of the diameter. If x be a symbol to which different numerical values can be assigned, such expressions as x2, 3x, Log. x, and Sin. x, are all functions of x.
n.
A quantity consisting of three terms, connected by the sign + or -; as, x + y + z, or ax + 2b - c2.
v.
A St. Andrew's cross, or cross in the form of an X, -- one of the honorable ordinaries.
n.
Same as Wiver. X () X, the twenty-fourth letter of the English alphabet, has three sounds; a compound nonvocal sound (that of ks), as in wax; a compound vocal sound (that of gz), as in example; and, at the beginning of a word, a simple vocal sound (that of z), as in xanthic. See Guide to Pronunciation, // 217, 270, 271.
n.
A figure or character used to express a number; as, the Arabic numerals, 1, 2, 3, etc.; the Roman numerals, I, V, X, L, etc.
adv.
Crosswise; in the form of an X.
a.
Of or relating to Alphonso X., the Wise, King of Castile (1252-1284).
n.
A partisan of Charles X. of France, or of Don Carlos of Spain.
n.
A name given to the factors of a continued product when the former are derivable from one and the same function F(x) by successively imparting a constant increment or decrement h to the independent variable. Thus the product F(x).F(x + h).F(x + 2h) . . . F[x + (n-1)h] is called a factorial term, and its several factors take the name of factorials.
n.
Act of crossing at an acute angle, or state of being thus crossed; an intersection in the form of an X; as, the decussation of lines, nerves, etc.
n.
Exact agreement between two expressions or magnitudes with respect to quantity; -- denoted by the symbol =; thus, a = x signifies that a contains the same number and kind of units of measure that x does.