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Constant a such that af(x) is a probability measure
can be normalized into a probability density function, which gives the standard normal distribution. In Bayes' theorem, a normalizing constant is used
Normalizing_constant
Property of two varying quantities with a constant ratio
constant of normalization (or normalizing constant). Two sequences are inversely proportional if corresponding elements have a constant product. Two
Proportionality_(mathematics)
Probability distribution
cumulants, of the CMP distribution can be expressed in terms of the normalizing constant Z ( λ , ν ) {\displaystyle Z(\lambda ,\nu )} . Indeed, The probability
Conway–Maxwell–Poisson distribution
Conway–Maxwell–Poisson_distribution
Physical constant in quantum mechanics
The Planck constant, or Planck's constant, denoted by h {\displaystyle h} , is a fundamental physical constant of foundational importance in quantum mechanics:
Planck_constant
Topics referred to by the same term
statistics Quantile normalization, statistical technique for making two distributions identical in statistical properties Normalizing (abstract rewriting)
Normalization
Conditional probability used in Bayesian statistics
)}{p(x)}}p(\theta )} , where p ( x ) {\displaystyle p(x)} is the normalizing constant and is calculated as p ( x ) = ∫ p ( x | θ ) p ( θ ) d θ {\displaystyle
Posterior_probability
Integral of the Gaussian function, equal to sqrt(π)
example, with a slight change of variables it is used to compute the normalizing constant of the normal distribution. The same integral with finite limits
Gaussian_integral
Application of gain to a recording to achieve a target level
Audio normalization is the application of a constant amount of gain to an audio recording to bring the amplitude to a target level (the norm). Because
Audio_normalization
Concept in quantum mechanics of perfectly substitutable particles
permutations p acting on N elements. The square root left to the sum is a normalizing constant. The quantity mn stands for the number of times each of the single-particle
Indistinguishable_particles
Probability distribution
next section that the normalizing constant for Jeffreys prior is immaterial to the final result because the normalizing constant cancels out in Bayes'
Beta_distribution
Specific probability distribution function, important in physics
temperature of the system, kB is the Boltzmann constant. The denominator in equation 1 is a normalizing factor so that the ratios N i : N {\displaystyle
Maxwell–Boltzmann distribution
Maxwell–Boltzmann_distribution
Monochrome light beam whose amplitude envelope is a Gaussian function
first factor is just a normalizing constant to make the set of uJ orthonormal. The second factor is an additional normalization that depends on z, which
Gaussian_beam
Measure of variation in statistics
adjusts how broad the curve will be, though it also appears in the normalizing constant. If a data distribution is approximately normal, then the proportion
Standard_deviation
Probability distribution
^{-1}q}}{\Gamma (\alpha )^{r}\theta ^{\alpha s}}},} where Z is the normalizing constant with no closed-form solution. The posterior distribution can be found
Gamma_distribution
Probability distribution
\end{aligned}}} Now the posterior density p has been specified up to a missing normalizing constant. Since it has the form of a gamma pdf, this can easily be filled
Exponential_distribution
Mathematical methods used in Bayesian inference and machine learning
p(\mathbf {Z} ,\mathbf {X} )]+{\text{constant}}} The constant in the above expression is related to the normalizing constant (the denominator in the expression
Variational_Bayesian_methods
Method for approximate evaluation of integrals
Laplace's approximation can refer to either approximating the posterior normalizing constant with Laplace's method or approximating the posterior distribution
Laplace's_method
infeasible states by renormalizing the probabilities. Calculation of the normalizing constant makes the treatment more awkward as the whole state space must be
Gordon–Newell_theorem
In Bayesian probability theory
is not on model comparison, the marginal likelihood is simply the normalizing constant that ensures that the posterior is a proper probability. It is related
Marginal_likelihood
Mathematical trick using imaginary numbers to simplify certain formulas in physics
any observable Q that commutes with the Hamiltonian is, up to a normalizing constant, ∑ j Q j e − E j k B T , {\displaystyle \sum _{j}Q_{j}e^{-{\frac
Wick_rotation
Mathematical concept
a free parameter; in physics, it is the inverse temperature. The normalizing constant Z(β) is the partition function. However, in infinite systems, the
Gibbs_measure
Statistical models for network analysis
proportional to the probability of y {\displaystyle y} (up to the normalizing constant c ( θ ) {\displaystyle c(\theta )} ). If y {\displaystyle y} is the
Exponential family random graph models
Exponential_family_random_graph_models
Probability distribution on a hyper-sphere of arbitrary dimension
\kappa \geq 0,\left\Vert {\boldsymbol {\mu }}\right\Vert =1} and the normalization constant C p ( κ ) {\displaystyle C_{p}(\kappa )} is equal to C p ( κ ) =
Von_Mises–Fisher_distribution
Generalization of the concept from statistical mechanics
partition function in statistical mechanics. It is a special case of a normalizing constant in probability theory, for the Boltzmann distribution. The partition
Partition function (mathematics)
Partition_function_(mathematics)
Mathematical algorithm
I)^{-1}b_{k}\|.} Since eigenvectors are defined up to multiplication by constant, the choice of C k {\displaystyle C_{k}} can be arbitrary in theory; practical
Inverse_iteration
Mathematical function
if a = 1 c 2 π {\textstyle a={\tfrac {1}{c{\sqrt {2\pi }}}}} (the normalizing constant), and in this case the Gaussian is the probability density function
Gaussian_function
Monte Carlo algorithm
with the denominator above, constitute the normalization constant), and then reinstate the normalization constant at the end, as necessary. In practice, this
Gibbs_sampling
}{T}}\right)\mathrm {d} \tau } where T is the exposure time. The normalization constant β {\displaystyle \beta } takes into account the loss of correlation
Laser speckle contrast imaging
Laser_speckle_contrast_imaging
Functional relationship between two quantities
− 1 x min {\displaystyle {\frac {\alpha -1}{x_{\min }}}} is the normalizing constant. We can now consider several properties of this distribution. For
Power_law
Statistical procedure
on standardized tests. See also quantile normalization. Normalization by adding and/or multiplying by constants so values fall between 0 and 1. This is
Normalization_(statistics)
Probability distribution
{\mbox{ if }}\ k<1\ {\mbox{ or }}\ N<k~.\end{cases}}} where HN is a normalization constant: The Nth harmonic number: H N ≡ ∑ k = 1 N 1 k . {\displaystyle
Zipf's_law
Function in thermodynamics and statistical physics
Thus, as shown above, the partition function plays the role of a normalizing constant (note that it does not depend on s), ensuring that the probabilities
Partition function (statistical mechanics)
Partition_function_(statistical_mechanics)
Computational statistics technique
constant has no effect on the sampled x {\displaystyle x} ‑positions. Thus, the algorithm can be used to sample from a distribution whose normalizing
Rejection_sampling
Probability distribution
{\displaystyle [0,1]} -valued data. This practice amounts to ignoring the normalizing constant of the continuous Bernoulli distribution, since the binary cross
Continuous Bernoulli distribution
Continuous_Bernoulli_distribution
Probability distribution on a sphere
denotes the transpose of ( ⋅ ) {\displaystyle (\cdot )} , and the normalizing constant c ( κ , β ) {\displaystyle {\textrm {c}}(\kappa ,\beta )\,} is: c
Kent_distribution
Distributions in probability theory
to worry about the normalizing constant at the time of deriving the equations for conditional distributions. The normalizing constant will be determined
Dirichlet-multinomial distribution
Dirichlet-multinomial_distribution
Probability distribution
-dimensional Euclidean space, R K {\displaystyle \mathbb {R} ^{K}} . The normalizing constant is the multivariate beta function, which can be expressed in terms
Dirichlet_distribution
Probabilistic classification algorithm
size}}\mid {\text{female}})}{\text{evidence}}}} The evidence (also termed normalizing constant) may be calculated: evidence = P ( male ) p ( height ∣ male ) p (
Naive_Bayes_classifier
Generalized function whose value is zero everywhere except at zero
sequence of point masses at each of the integers. Up to an overall normalizing constant, the Dirac comb is equal to its own Fourier transform. This is significant
Dirac_delta_function
_{i}={\frac {1}{Z}}\sum _{T\in {\mathcal {T}}_{i}}w(T),} where the normalizing constant Z {\displaystyle Z} is the sum of w ( T ) {\displaystyle w(T)} over
Markov_chain_tree_theorem
Calculation of complex statistical distributions
problems or when the stationary distribution is only known up to a normalizing constant (as in most Bayesian applications). The Gelman-Rubin statistic, also
Markov_chain_Monte_Carlo
Distribution of new data marginalized over the posterior
excluding the normalizing function f ( … ) {\displaystyle f(\dots )\,} . Hence the result of the integration will be the reciprocal of the normalizing function
Posterior predictive distribution
Posterior_predictive_distribution
Number of vectors in any basis of the vector space
:=\textstyle {\frac {1}{n}}\operatorname {tr} } ), so in these cases the normalizing constant corresponds to dimension. Alternatively, it may be possible to take
Dimension_(vector_space)
Mathematical transform that expresses a function of time as a function of frequency
frequency" convention above, the factor of 2π appears in neither the normalizing constant nor the exponent. Unlike any of the conventions appearing above,
Fourier_transform
Mathematical study of waiting lines, or queues
shown to also exhibit a product–form stationary distribution. The normalizing constant can be calculated with the Buzen's algorithm, proposed in 1973. Networks
Queueing_theory
Machine learning technique
{\displaystyle b} -th input sentence. Then frame-wise BatchNorm means normalizing over b {\displaystyle b} : μ t ( l ) = 1 B ∑ b = 1 B h i , t ( l ) (
Normalization (machine learning)
Normalization_(machine_learning)
Type of Monte Carlo algorithms for signal processing and statistical inference
A\right)=E\left(\prod \limits _{k=0}^{n}G_{k}(X_{k})\right)} as soon as the normalizing constant is strictly positive. Initially, such an algorithm starts with N
Particle_filter
Conjecture in algebraic geometry
=c_{\Lambda }\exp(-{\text{tr}}X^{2}\Lambda /2)dX} where cΛ is a normalizing constant. This measure has the property that ∫ X i j X k l d μ = δ i l δ j
Witten_conjecture
Function used in quantum chemistry
..., N is a normalizing constant, r is the distance of the electron from the atomic nucleus, and ζ {\displaystyle \zeta } is a constant related to the
Slater-type_orbital
Formula in probability theory
dr}={p^{s}(1-p)^{n-s} \over \int _{0}^{1}r^{s}(1-r)^{n-s}\,dr}} To get the normalizing constant, we find ∫ 0 1 r s ( 1 − r ) n − s d r = s ! ( n − s ) ! ( n + 1
Rule_of_succession
Modular form
, q ) , {\displaystyle \Delta (z,q),} which represents (up to a normalizing constant) the discriminant of the cubic on the right side of the Weierstrass
Cusp_form
Continuous multivariate probability distribution
p(\mathbf {R} ;\eta )=C\times [\det(\mathbf {R} )]^{\eta -1}} with normalizing constant C = 2 ∑ k = 1 d − 1 ( 2 η − 2 + d − k ) ( d − k ) ∏ k = 1 d − 1 [
Lewandowski-Kurowicka-Joe distribution
Lewandowski-Kurowicka-Joe_distribution
Generalization of a Markov decision process
1 / Pr ( o ∣ b , a ) {\displaystyle \eta =1/\Pr(o\mid b,a)} is a normalizing constant with Pr ( o ∣ b , a ) = ∑ s ′ ∈ S O ( o ∣ s ′ , a ) ∑ s ∈ S T ( s
Partially observable Markov decision process
Partially_observable_Markov_decision_process
Discrete probability distribution
-1}(1-p)^{n_{1}-y_{1}+\beta -1}\end{aligned}}} where C {\displaystyle C} is a normalizing constant. We recognize the posterior distribution of p {\displaystyle p} as
Beta-binomial_distribution
Discrete probability distribution
is expressed as "proportional to" some expression, with unknown normalizing constant. Before taking any samples, one prepares some values as follows:
Categorical_distribution
Space of all possible states that a system can take
multiplication of a normalization constant representing the number of quantum energy states per unit phase space. This normalization constant is simply the
Phase_space
Discrete probability distribution
p\leq 1} and − ∞ < ν < ∞ {\displaystyle -\infty <\nu <\infty } . The normalizing constant C n , p , ν {\displaystyle C_{n,p,\nu }} is defined by C n , p ,
Conway–Maxwell–binomial distribution
Conway–Maxwell–binomial_distribution
Polynomial sequence
They are, in fact, exactly the zonal spherical harmonics, up to a normalizing constant. Gegenbauer polynomials also appear in the theory of positive-definite
Gegenbauer_polynomials
a closed queueing network. Performing a naïve computation of the normalizing constant requires enumeration of all states. For a closed network with N circulating
Buzen's_algorithm
Class of artificial neural network
over all possible configurations, which can be interpreted as a normalizing constant to ensure that the probabilities sum to 1. The marginal probability
Restricted_Boltzmann_machine
Quantum mechanics concept for systems with central potentials, such as atoms
sphere — of the previous kind, i.e., with constant potential. The following constraints must hold for a normalizable, physical wavefunction: The wavefunction
Particle in a spherically symmetric potential
Particle_in_a_spherically_symmetric_potential
Pair of polynomial sequences
{\displaystyle {\sqrt {1-x^{2}}}\,\mathrm {d} x} is, to within a normalizing constant, the Wigner semicircle distribution.) These orthogonality properties
Chebyshev_polynomials
Statistical method
a constant which denotes the discount value subtracted from the count of each n-gram, usually between 0 and 1. The value of the normalizing constant λ
Kneser–Ney_smoothing
Constraint on particle cross sections
faster than c ln 2 ( s ) {\displaystyle c\ln ^{2}(s)} , with c a normalization constant and s the square of the center-of-mass energy (s is one of the three
Froissart_bound
Number, approximately 3.14
_{-\infty }^{\infty }{\frac {f(x)\,dx}{x-t}}.} The constant π is the unique (positive) normalizing factor such that H defines a linear complex structure
Pi
Theory of molecular orbitals by Erich Hückel
expression for the normalization constant N and the fact that [ S i j ] = I n {\displaystyle [S_{ij}]=\mathbf {I} _{n}} , we can find the normalized MOs by incorporating
Hückel_method
Quantum mechanical model
+ i p {\displaystyle z=x+ip} and the ground state is the constant function 1, the normalized harmonic oscillator states in this representation are simply
Quantum_harmonic_oscillator
Electrical circuit
,} where V ref {\displaystyle V_{\text{ref}}} is a normalization constant in volts, K {\displaystyle K} is a scale factor, and ln {\displaystyle
Log_amplifier
Monte Carlo distribution shifting technique
proportional to e θ x f ( x ) {\displaystyle e^{\theta x}f(x)} , with the normalizing constant supplied by M X ( θ ) {\displaystyle M_{X}(\theta )} . For a random
Exponential_tilting
Frequency divided by a characteristic frequency
signal processing (DSP), a normalized frequency is a ratio of a variable frequency ( f {\displaystyle f} ) and a constant frequency associated with a
Normalized frequency (signal processing)
Normalized_frequency_(signal_processing)
Units defined only by physical constants
Planck units are derived by "normalizing" the numerical values of certain fundamental constants to 1. These normalizations are neither the only ones possible
Planck_units
Statistical model used in machine learning
A pseudocode for training normalizing flows is as follows: INPUT. dataset x 1 : n {\displaystyle x_{1:n}} , normalizing flow model f θ ( ⋅ ) , p 0 {\displaystyle
Flow-based_generative_model
Ray tracing technique
{bmatrix}}{\begin{bmatrix}q_{1}\\1\end{bmatrix}},} where k is a normalization constant chosen to keep the second component of the ray vector equal to 1
Ray_transfer_matrix_analysis
Technique for the generative modeling of a continuous probability distribution
{1-\beta _{t}}}x_{t-1}\|^{2}+C} where C {\displaystyle C} is a normalization constant and often omitted. In particular, we note that x 1 : T | x 0 {\displaystyle
Diffusion_model
State of matter
\,P(K)=Ce^{-KE/T}=Cp^{K}.} For large N {\displaystyle N} , the normalization constant C {\displaystyle C} is 1 − p {\displaystyle 1-p} . The expected
Bose–Einstein_condensate
Characteristic time in a system
In physics and engineering, the time constant, usually denoted by the Greek letter τ (tau), is the parameter characterizing the response to a step input
Time_constant
Mathematical function
) {\displaystyle B(l,\alpha )} is the normalization constant corresponding to the Gaussian. The normalization condition which determines A ( l , α )
Gaussian_orbital
Principle in Bayesian statistics
\lambda _{m}} . It is sometimes called the Gibbs distribution. The normalization constant is determined by: Z ( λ 1 , … , λ m ) = ∑ i = 1 n exp [ λ 1 f
Principle_of_maximum_entropy
Algorithm for statistical inference on graphical models
the product of all messages from adjoining factors (missing the normalization constant): p X v ( x v ) ∝ ∏ a ∈ N ( v ) μ a → v ( x v ) . {\displaystyle
Belief_propagation
Concept in statistics
distributions, the kernel can be written in closed form, but not the normalization constant. An example is the normal distribution. Its probability density
Kernel_(statistics)
Group in group theory and physics
(}L^{2}(\mathbb {R} ^{n}){\bigr )}\,|\lambda |^{n}\,d\lambda ,} up to the same normalizing constant. For suitable functions, the corresponding Fourier inversion formula
Heisenberg_group
Type of random graph
{\displaystyle p=1-e^{-\beta }} , and Z {\displaystyle Z} is an appropriate normalizing constant. Importantly, the indicator function 1 A {\displaystyle 1_{A}} of
Random_cluster_model
Machine learning technique
{\displaystyle Z=\int {\mbox{d}}y\prod _{j=1}^{M}f_{j}(y|\{x_{k}\})} is a normalization constant (see partition function (statistical mechanics)). This is related
Product_of_experts
Sets whose elements have degrees of membership
(A)} Besides similarities this differs from the usual normalization in that the normalizing constant is not a sum. For fuzzy sets A {\displaystyle A} of
Fuzzy_set
Generalization of gamma distribution to multiple dimensions
\left|\mathbf {X} \right|\,\right]+{\frac {np}{2}}} where B(V, n) is the normalizing constant of the distribution: B ( V , n ) = 1 | V | n / 2 2 n p / 2 Γ p (
Wishart_distribution
Exactly solvable model of coupled oscillators
( ω − K r sin ( θ − ψ ) ) {\displaystyle \rho ={\frac {\rm {normalization\;constant}}{(\omega -Kr\sin(\theta -\psi ))}}} for drifting oscillators.
Kuramoto_model
Random element Random compact set Dynkin system Probability axioms Normalizing constant Event (probability theory) Complementary event Elementary event Mutually
List_of_probability_topics
Operation on self-adjoint operators
_{-}=c\cdot e^{-x}\}\end{aligned}}} where c {\displaystyle c} is a normalizing constant. The self-adjoint extensions A α {\displaystyle A_{\alpha }} of A
Extensions of symmetric operators
Extensions_of_symmetric_operators
Fourth standardized moment in statistics
{1}{2}}x^{2}-{\frac {1}{4}}gx^{4}}/Z} , where Z {\displaystyle Z} is a normalization constant, then its kurtosis is 3 − 6 g + O ( g 2 ) {\displaystyle 3-6g+O(g^{2})}
Kurtosis
Measure of the level of consciousness
denotes its Lempel–Ziv complexity, and N {\displaystyle N} is a normalization constant (typically sequence length). This formalization captures both the
Perturbational Complexity Index
Perturbational_Complexity_Index
Second-order partial differential equation
ℓ and order m, Pℓm is an associated Legendre polynomial, N is a normalization constant, and θ and φ represent colatitude and longitude, respectively. In
Laplace's_equation
Spline function
with normalization constant constraint ∑ i c i = 1 {\displaystyle \sum _{i}c_{i}=1} . The k-th raw moment μ k {\displaystyle \mu _{k}} of a normalized B-spline
B-spline
Function in discrete mathematics
\mathbf {F} ^{-1}={\frac {1}{N}}\mathbf {F} ^{*}} With unitary normalization constants 1 / N {\textstyle 1/{\sqrt {N}}} , the DFT becomes a unitary transformation
Discrete_Fourier_transform
continuous. To ensure that the resulting PDF integrates to 1, the normalizing constant A is used. In a special case when σ 1 2 = σ 2 2 = σ ∗ 2 {\displaystyle
Split_normal_distribution
Solution method for linear differential equations
{\displaystyle \alpha ={\frac {\pi }{4}}} . Thus, letting some normalization constant be N {\displaystyle N} , the wavefunction is given for increasing
WKB_approximation
Computational navigational technique used by robots and autonomous vehicles
o_{1:t-1},u_{1:t})/Z} where Z {\displaystyle Z} is the normalization constant, which ensures all the probabilities sum up to 1. Similarly the
Simultaneous localization and mapping
Simultaneous_localization_and_mapping
Probability distribution
distributional aspects, such as the known functional form of the normalizing constant. However, the MHN distribution occurs in diverse areas of research
Modified half-normal distribution
Modified_half-normal_distribution
Family of distributions that generalize the multivariate normal distribution
g((x-\mu )'\Sigma ^{-1}(x-\mu ))} where k {\displaystyle k} is the normalizing constant, x {\displaystyle x} is an n {\displaystyle n} -dimensional random
Elliptical_distribution
M ) {\displaystyle p(D|\log \mu ,\log \zeta ,\mathbb {M} )} is a normalizing constant such the integral over all possible w {\displaystyle w} and b {\displaystyle
Least-squares support vector machine
Least-squares_support_vector_machine
{\displaystyle \alpha ,\lambda ,y_{0}} are positive parameters, and n is the normalizing constant, which depends on the parameters. The density may be rewritten as
Champernowne_distribution
NORMALIZING CONSTANT
NORMALIZING CONSTANT
Boy/Male
Tamil
Constant
Girl/Female
Tamil
Rain, Constant flow
Boy/Male
Latin Spanish English
Constant.
Surname or Lastname
English
English : from Old French precheor ‘preacher’, perhaps a derogatory nickname for a moralizing person.
Surname or Lastname
English
English : from a medieval personal name, Latin Constantinus, a derivative of Constans (see Constant). The name was popular in Continental Europe, and to a lesser extent in England, as having been borne by the first Christian ruler of the Roman Empire, Constantine the Great (?280–337), in whose honor Byzantium was renamed Constantinople. In some cases the name may be an Americanized form of one of the many cognates in other languages, in particular Greek Konstantinos.English (of Norman origin) : habitational name or regional name for someone from Cotentin (Coutances) in Manche, France (see Constance 2).
Boy/Male
American, Australian, British, Christian, Dutch, English, French, German, Greek, Irish, Latin, Portuguese
Constant; Steadfast; Firm
Boy/Male
Tamil
Nityagopal | நிதà¯à®¯à®•à¯‹à®ªà®¾à®²Â
Constant
Nityagopal | நிதà¯à®¯à®•à¯‹à®ªà®¾à®²Â
Male
Dutch
, constant.
Boy/Male
Latin
Constant.
Male
Arthurian
, (constant) Arthur's choice to succeed him as king of England.
Boy/Male
Australian, British, Danish, English, French, German, Italian, Latin, Swedish, Swiss
Steadfast; Constant
Boy/Male
Australian, British, English, French, German, Latin, Spanish
Constant; Steadfast
Surname or Lastname
English
English : ethnic name from Old French germain ‘German’ (Latin Germanus). This sometimes denoted an actual immigrant from Germany, but was also used to refer to a person who had trade or other connections with German-speaking lands. The Latin word Germanus is of obscure and disputed origin; the most plausible of the etymologies that have been proposed is that the people were originally known as the ‘spear-men’, with Germanic gÄ“r, gÄr ‘spear’ as the first element.English (of Norman origin) : from the Old French personal name Germain (see Germain).Americanized spelling of Spanish Germán or Hungarian Germán, cognates of 2.German : from the saint’s name German(us). See also Germann.Jewish (eastern Ashkenazic) : Russianized variant of Hermann.Greek : reduced form of Germanos, a Greek personal name, bestowed in honor of saints of the Eastern Church distinct from St. Germain: in particular, St. Germanos in the 8th century, liturgical poet and patriarch of Constantinople. The Greek surname can also denote someone associated with Germany or someone with blond hair.
Boy/Male
British, English, French, German, Latin, Swedish
Constant; Steadfast
Male
French
French and Romanian form of Latin Constantinus, CONSTANTIN means "steadfast."Â
Girl/Female
Tamil
Rain, Constant flow
Female
Romanian
Romanian form of Latin Constantia, CONSTANTA means "steadfast."
Male
English
 Anglicized form of Irish Gaelic Conn, having several possible CONSTANTINE meanss including "chief, freeman, head, hound, intelligence, strength." In Arthurian legend, this is the name of the successor to King Arthur. He was the son of Cador of Cornwall who fought in the Battle of Camlann and was one of the few survivors. Just before Arthur was taken to Avalon, Cador passed the crown onto his son, Constantine. Compare with another form of Constantine.
Surname or Lastname
French and English
French and English : from a medieval personal name (Latin Constans, genitive Constantis, meaning ‘steadfast’, ‘faithful’, present participle of the verb constare ‘stand fast’, ‘be consistent’). This was borne by an 8th-century Irish martyr. This surname has also absorbed some cases of surnames based on Constantius, a derivative of Constans, borne by a 2nd-century martyr, bishop of Perugia. Compare Constantine.English : perhaps also a nickname from Old French constant ‘steadfast’, ‘faithful’.
Surname or Lastname
English
English : from the usual medieval vernacular form of the female personal name Helen (Greek Helenē). This was the name of the mother of Constantine the Great, a devout Christian who was credited with finding the True Cross. It was a popular name in Britain, due to the legend (which has no historical basis) that she was born in Britain.English : variant of Hillian.Dutch : from a short form of any of several Germanic personal names beginning with the element Ellen-, as, for example, Ellenborg.
NORMALIZING CONSTANT
NORMALIZING CONSTANT
Surname or Lastname
English (Yorkshire)
English (Yorkshire) : variant of Beaver.Variant of Dutch and North German Bever.
Male
Czechoslovakian
, who is like God?
Boy/Male
Tamil
Plaksh | பà¯à®²à®¾à®•à¯à®·
Boy/Male
Tamil
Durmada | தà¯à®°à¯à®®à®¤à®¾
The false pride
Boy/Male
Hindu, Indian
Gifted
Boy/Male
British, Christian, English, French
Astray
Girl/Female
Muslim
Female servant of God, One who describes
Girl/Female
Australian
Beloved; Beautiful
Boy/Male
Hindu, Indian, Tamil
A Cute Boy
Boy/Male
Bengali, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Lord of the Earth
NORMALIZING CONSTANT
NORMALIZING CONSTANT
NORMALIZING CONSTANT
NORMALIZING CONSTANT
NORMALIZING CONSTANT
n.
A state of holding on in a continuous course; manner of continuity; constant mode; general tendency; course; career.
n.
A curve such that the part of the tangent between the point of tangency and a given straight line is constant; -- so called because it was conceived as described by the motion of one end of a tangent line as the other end was drawn along the given line.
a.
Not constant; inconstant; fickle; changeable.
n.
A superior wine, white and red, from Constantia, in Cape Colony.
n.
One of the Northmen who founded a dynasty in Russia in the 9th century; also, one of the Northmen composing, at a later date, the imperial bodyguard at Constantinople.
v. i.
The act of watching; forbearance of sleep; vigil; wakeful, vigilant, or constantly observant attention; close observation; guard; preservative or preventive vigilance; formerly, a watching or guarding by night.
n.
A state or scene of constant change, or of recurring labor and vicissitude.
v. i.
Hence, to move with difficulty or labor; to proceed /lowly among objects or circumstances that constantly /inder or embarrass; as, to wade through a dull book.
p. pr. & vb. n.
of Nomadize
prep.
As sign of the infinitive, to had originally the use of last defined, governing the infinitive as a verbal noun, and connecting it as indirect object with a preceding verb or adjective; thus, ready to go, i.e., ready unto going; good to eat, i.e., good for eating; I do my utmost to lead my life pleasantly. But it has come to be the almost constant prefix to the infinitive, even in situations where it has no prepositional meaning, as where the infinitive is direct object or subject; thus, I love to learn, i.e., I love learning; to die for one's country is noble, i.e., the dying for one's country. Where the infinitive denotes the design or purpose, good usage formerly allowed the prefixing of for to the to; as, what went ye out for see? (Matt. xi. 8).
n.
The act of moralizing; moral reflections or discourse.
p. pr. & vb. n.
of Mortalize
a.
Not stable; not firm, fixed, or constant; subject to change or overthrow.
p. pr. & vb. n.
of Formalize
n.
Any one of many species of Old World singing birds belonging to Motacilla and several allied genera of the family Motacillidae. They have the habit of constantly jerking their long tails up and down, whence the name.
p. pr. & vb. n.
of Formulize
n.
A disease of the eye, in which the eyelashes, being turned in upon the eyeball, produce constant irritation by the motion of the lids.
adv.
In a uniform manner; without variation or diversity; by a regular, constant, or common ratio of change; with even tenor; as, a temper uniformly mild.
p. pr. & vb. n.
of Moralize