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engineering, the p–y is a method of analyzing the ability of deep foundations to resist loads applied in the lateral direction. This method uses the finite
P-y_method
Approach to finding numerical solutions of ordinary differential equations
method to approximate y ( 4 ) {\displaystyle y(4)} . The Euler method is y n + 1 = y n + h f ( t n , y n ) . {\displaystyle y_{n+1}=y_{n}+hf(t_{n},y_{n})
Euler_method
Family of implicit and explicit iterative methods
Runge–Kutta method" or simply as "the Runge–Kutta method". Let an initial value problem be specified as follows: d y d t = f ( t , y ) , y ( t 0 ) = y 0 . {\displaystyle
Runge–Kutta_methods
Numeric solution for differential equations
midpoint method is a one-step method for numerically solving the differential equation, y ′ ( t ) = f ( t , y ( t ) ) , y ( t 0 ) = y 0 . {\displaystyle y'(t)=f(t
Midpoint_method
Topics referred to by the same term
(cipher), a stream cipher designed by Eli Biham and Jennifer Seberry p-y method, for assessing the load-bearing abilities of deep foundations Permalloy
PY
Technique in information theory
variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self-described as providing "a surprisingly
Information_bottleneck_method
Algorithm for finding zeros of functions
modification of Newton's method starting at the right endpoint: y i + 1 = y i − f ( y i ) f ′ ( x i ) . {\displaystyle y_{i+1}=y_{i}-{\frac {f(y_{i})}{f'(x_{i})}}
Newton's_method
Method of solving non-homogeneous ordinary differential equations
annihilator method in which the coefficients are calculated. The annihilator method is used as follows. Given the ODE P ( D ) y = f ( x ) {\displaystyle P(D)y=f(x)}
Annihilator_method
Statistical rule of thumb
f ( y ) = ( m y ) p y ( 1 − p ) m − y {\displaystyle f(y)={\binom {m}{y}}p^{y}(1-p)^{m-y}} where m {\displaystyle m} is the number of trials and p {\displaystyle
Sturges's_rule
Analytical expression in statistics
p ( y , θ | x ) {\displaystyle p({\bf {y}},\theta |{\bf {x}})} . Bayes' formula reads: p ( y , θ | x ) = p ( y | x , θ ) p ( θ | x ) = p ( y | x ) p (
Laplace's_approximation
Method to solve constrained optimization problems
_{x,y,\lambda }{\mathcal {L}}(x,y,\lambda )=0\iff {\begin{cases}\nabla _{x,y}f(x,y)=-\lambda \,\nabla _{x,y}g(x,y)\\g(x,y)=0\end{cases}}} The method generalizes
Lagrange_multiplier
Method of estimating the parameters of a statistical model, given observations
sample y = ( y 1 , y 2 , … , y n ) {\displaystyle \;\mathbf {y} =(y_{1},y_{2},\ldots ,y_{n})\;} gives a real-valued function, L n ( θ ) = L n ( θ ; y ) =
Maximum_likelihood_estimation
Methods used to find numerical solutions of ordinary differential equations
second-order equation y′′ = −y can be rewritten as two first-order equations: y′ = z and z′ = −y. In this section, we describe numerical methods for IVPs, and
Numerical methods for ordinary differential equations
Numerical_methods_for_ordinary_differential_equations
Numerical method for ordinary differential equations
numerical method produces a sequence y 0 , y 1 , y 2 , … {\displaystyle y_{0},y_{1},y_{2},\ldots } such that y k {\displaystyle y_{k}} approximates y ( t 0
Backward_Euler_method
Algorithms for calculating square roots
algorithm solving ( x + y ) 2 = x 2 + 2 x y + y 2 {\displaystyle (x+y)^{2}=x^{2}+2xy+y^{2}} . It is slower than the Babylonian method, but it has several
Square_root_algorithms
Class of ordinary differential equations
form d d x [ p ( x ) d y d x ] + q ( x ) y = − λ w ( x ) y {\displaystyle {\frac {\mathrm {d} }{\mathrm {d} x}}\left[p(x){\frac {\mathrm {d} y}{\mathrm {d}
Sturm–Liouville_theory
Algorithm for polynomial evaluation
found. Horner's method can be modified to compute the divided difference ( p ( y ) − p ( x ) ) / ( y − x ) . {\displaystyle (p(y)-p(x))/(y-x).} Given the
Horner's_method
Class of iterative numerical methods for solving differential equations
predictor–corrector method. Consider for an example the problem y ′ = f ( t , y ) = y , y ( 0 ) = 1. {\displaystyle y'=f(t,y)=y,\quad y(0)=1.} The exact solution is y (
Linear_multistep_method
Form of interpolation
{1}{2}}y_{2}(x-0)(x-1).\end{aligned}}} For example, y ( 3 ) = y 3 = y 0 − 3 y 1 + 3 y 2 {\displaystyle y(3)=y_{3}=y_{0}-3y_{1}+3y_{2}} and y ( 1.5 ) = y 1
Polynomial_interpolation
List of characters appearing in the Marvel Cinematic Universe
Contents: A–L (previous page) M N O P Q R S T U V W X Y Z See also References Mary MacPherran (portrayed by Jameela Jamil), also known as Titania, is
Characters of the Marvel Cinematic Universe: M–Z
Characters_of_the_Marvel_Cinematic_Universe:_M–Z
Runge–Kutta methods are methods for the numerical solution of the ordinary differential equation d y d t = f ( t , y ) . {\displaystyle {\frac {dy}{dt}}=f(t,y).}
List_of_Runge–Kutta_methods
Single-winner electoral system
method (/ˈʃʊltsə/), also known as the beatpath method, is a single winner ranked-choice voting rule developed by Markus Schulze. The Schulze method is
Schulze_method
Plane curve
y 4 − y 1 ) ( y 4 − y 2 ) ( y 4 − y 1 ) ( x 4 − x 2 ) − ( y 4 − y 2 ) ( x 4 − x 1 ) = ( x 3 − x 1 ) ( x 3 − x 2 ) + ( y 3 − y 1 ) ( y 3 − y 2 ) ( y 3
Ellipse
Type of statistical data method
The synthetic control method is an econometric method used to evaluate the effect of large-scale interventions. It was proposed in a series of articles
Synthetic_control_method
Combinations of goods and services affordable given income and prices
P x x + P y y = m . {\displaystyle P_{x}x+P_{y}y=m.} Solving for y {\displaystyle y} yields y = m P y − P x P y x , {\displaystyle y={\frac {m}{P_{y}}}-{\frac
Budget_constraint
Transformation of coordinates through an angle
A point P {\displaystyle P} has coordinates ( x , y ) {\displaystyle (x,y)} with respect to the original system and coordinates ( x ′ , y ′ ) {\displaystyle
Rotation of axes in two dimensions
Rotation_of_axes_in_two_dimensions
Statistical method
covariance (see below). Because both the X and Y data are projected to new spaces, the PLS family of methods are known as bilinear factor models. Partial
Partial least squares regression
Partial_least_squares_regression
Method for solving certain optimization problems
The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form of a p-norm
Iteratively reweighted least squares
Iteratively_reweighted_least_squares
Lemma that defines a property of regular languages
y z , x y y z , x y y y z , . . . {\displaystyle xz,xyz,xyyz,xyyyz,...} are also in L {\displaystyle L} . The process of repeating y {\displaystyle y}
Pumping lemma for regular languages
Pumping_lemma_for_regular_languages
Procedure for solving differential equations
(written below): y ′ + p ( x ) y = 0 {\displaystyle y'+p(x)y=0} This homogeneous differential equation can be solved by different methods, for example separation
Variation_of_parameters
Polynomial function of degree 4
quartic equation y 4 + p y 2 + q y + r = 0. {\displaystyle y^{4}+py^{2}+qy+r=0.} This depressed quartic can be solved by means of a method discovered by
Quartic_function
Mathematical fallacy
can also be shown by multiplying (x + y)(x + y) by using the distributive property properly, or the FOIL method. The freshman's dream is actually valid
Freshman's_dream
Mathematical method of assigning a prior probability to a given observation
algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability to a given observation. It was invented
Algorithmic_probability
Model for generating observable data in probability and statistics
Y ) = P ( X , Y ) / P ( Y ) {\displaystyle P(X\mid Y)=P(X,Y)/P(Y)} and P ( Y ∣ X ) = P ( X , Y ) / P ( X ) {\displaystyle P(Y\mid X)=P(X,Y)/P(X)} . Given
Generative_model
Statistical method in data analysis
hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies
Hierarchical_clustering
Type of ordinary differential equation
differential equation if it is of the form y ′ + P ( x ) y = Q ( x ) y n , {\displaystyle y'+P(x)y=Q(x)y^{n},} where n {\displaystyle n} is a real number
Bernoulli differential equation
Bernoulli_differential_equation
Mathematical method for approximating solutions to differential and integral equations
collocation method approximates the solution y by the polynomial p of degree n which satisfies the initial condition p ( t 0 ) = y 0 {\displaystyle p(t_{0})=y_{0}}
Collocation_method
Optimization algorithm
In numerical analysis, a quasi-Newton method is an iterative numerical method used either to find zeroes or to find local maxima and minima of functions
Quasi-Newton_method
American rapper (born 1971)
Clifford Smith Jr. (born March 2, 1971), known professionally as Method Man, is an American rapper, record producer, and actor. He is a member of the East
Method_Man
Type of deterministic method for multivariate interpolation
Inverse distance weighting (IDW) is a type of deterministic method for multivariate interpolation with a known homogeneously scattered set of points. The
Inverse_distance_weighting
Technique for solving hyperbolic partial differential equations
y ) ) b ( x , y , u ( x , y ) ) c ( x , y , u ( x , y ) ) ] = a ( x , y , u ( x , y ) ) ∂ u ∂ x ( x , y ) + b ( x , y , u ( x , y ) ) ∂ u ∂ y ( x , y
Method_of_characteristics
Numerical method for solving physical or engineering problems
Finite element method (FEM) is a popular method for numerically solving differential equations arising in engineering and mathematical modeling. Typical
Finite_element_method
Silver staining technique for visualizing nervous tissue under light microscopy
neuron doctrine. Ultimately, Ramón y Cajal improved the technique by using a method he termed "double impregnation". Ramón y Cajal's staining technique, still
Golgi's_method
Computer vision technique for optical flow estimation
{\displaystyle p} . Namely, the local image flow (velocity) vector ( V x , V y ) {\displaystyle (V_{x},V_{y})} must satisfy I x ( q 1 ) V x + I y ( q 1 ) V y = −
Lucas–Kanade_method
Means by which a person dies by suicide
A suicide method is any means by which a person ends or attempts to end their life. Suicide attempts do not always result in death, and a non-fatal suicide
Suicide_methods
Algorithms in numerical analysis
the method in Predict–Evaluate–Correct (PEC) mode: y ~ i + 1 = y i + h f ( t i , y ~ i ) , y i + 1 = y i + 1 2 h ( f ( t i , y ~ i ) + f ( t i + 1 , y ~
Predictor–corrector_method
Study of mathematical algorithms for optimization problems
to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries. In the more general
Mathematical_optimization
Concept in machine learning
× Y V ( f ( x → ) , y ) p ( x → , y ) d x → d y {\displaystyle I[f]=\displaystyle \int _{{\mathcal {X}}\times {\mathcal {Y}}}V(f({\vec {x}}),y)\,p({\vec
Loss functions for classification
Loss_functions_for_classification
Set of methods for supervised statistical learning
^{\mathsf {T}}\mathbf {x} _{i}-y_{i}.} (Note that y i − 1 = y i {\displaystyle y_{i}^{-1}=y_{i}} since y i = ± 1 {\displaystyle y_{i}=\pm 1} .) Suppose now
Support_vector_machine
Method used in sports betting
squares method: r = ( X T X ) − 1 X T y {\displaystyle \mathbf {r} =\left(\mathbf {X} ^{T}\mathbf {X} \right)^{-1}\mathbf {X} ^{T}\mathbf {y} } If not
Statistical association football predictions
Statistical_association_football_predictions
Regularization technique for ill-posed problems
(also known as Tikhonov regularization, named for Andrey Tikhonov) is a method of estimating the coefficients of multiple-regression models in scenarios
Ridge_regression
Type of Monte Carlo algorithms for signal processing and statistical inference
posterior p ( x 0 , x 1 , . . . , x k | y 0 , y 1 , . . . , y k ) {\displaystyle p(x_{0},x_{1},...,x_{k}|y_{0},y_{1},...,y_{k})} . Particle methods often
Particle_filter
Polynomial equation, generally univariate
integer coefficients and y 4 + x y 2 − x 3 3 + x y 2 + y 2 + 1 7 = 0 {\displaystyle y^{4}+{\frac {xy}{2}}-{\frac {x^{3}}{3}}+xy^{2}+y^{2}+{\frac {1}{7}}=0}
Algebraic_equation
Class of algorithms for solving constrained optimization problems
using methods of constrained optimization (in particular, the augmented Lagrangian method), and the objective function is separable in x and y. The dual
Augmented_Lagrangian_method
Parameter estimation technique in statistics, particularly econometrics
Generalized method of moments (GMM) in econometrics and statistics is a generic method for estimating parameters in statistical models. Usually it is applied
Generalized_method_of_moments
Differential equation containing derivatives with respect to only one variable
y 1 ( n ) y 2 ( n ) ⋮ y m ( n ) ) = ( f 1 ( x , y , y ′ , y ″ , … , y ( n − 1 ) ) f 2 ( x , y , y ′ , y ″ , … , y ( n − 1 ) ) ⋮ f m ( x , y , y ′ , y
Ordinary differential equation
Ordinary_differential_equation
Algorithm in numerical analysis
In mathematics, the Runge–Kutta–Fehlberg method (or Fehlberg method) is an algorithm in numerical analysis for the numerical solution of ordinary differential
Runge–Kutta–Fehlberg_method
Mathematical tool for summing arithmetic functions
In number theory, the Dirichlet hyperbola method is a technique to evaluate the sum F ( n ) = ∑ k = 1 n f ( k ) {\displaystyle F(n)=\sum _{k=1}^{n}f(k)}
Dirichlet_hyperbola_method
Numerical technique
multipole method is that if the distance between y {\displaystyle y} and x {\displaystyle x} is large enough, then ( y − x ) − 1 {\displaystyle (y-x)^{-1}}
Fast_multipole_method
Solving multiple machine learning tasks at the same time
03300 [cs.AI]. J. -Y. Li, Z. -H. Zhan, Y. Li and J. Zhang, Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization
Multi-task_learning
Approximation method in statistics
In regression analysis, least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—the differences between
Least_squares
Integral polynomial
field of representation theory, a Kazhdan–Lusztig polynomial P y , w ( q ) {\displaystyle P_{y,w}(q)} is a member of a family of integral polynomials introduced
Kazhdan–Lusztig_polynomial
Class of methods used in numerical analysis and scientific computing to solve ODE/PDE
Pseudospectral Methods. Cambridge University Press, Cambridge, UK Chebyshev and Fourier Spectral Methods by John P. Boyd. Canuto C., Hussaini M. Y., Quarteroni
Spectral_method
Mathematical optimization algorithm
if the CG method starts with x 0 = 0 {\displaystyle \mathbf {x} _{0}=0} , then x k = a r g m i n y ∈ R n { ( x ∗ − y ) ⊤ A ( x ∗ − y ) : y ∈ span {
Conjugate_gradient_method
Computational statistics technique
called the acceptance-rejection method or "accept-reject algorithm" and is a type of exact simulation method. The method works for any distribution in R
Rejection_sampling
Method for approximate evaluation of integrals
comparison in y-space, y {\displaystyle y} is fixed in y ∈ [ − D y , D y ] {\displaystyle y\in [-D_{y},D_{y}]} which will cause x ∈ [ − s D y , s D y ] {\displaystyle
Laplace's_method
Method for solving boundary value problems
problem y ″ ( t ) = f ( t , y ( t ) , y ′ ( t ) ) , y ( t 0 ) = y 0 , y ( t 1 ) = y 1 . {\displaystyle y''(t)=f(t,y(t),y'(t)),\quad y(t_{0})=y_{0},\quad y(t_{1})=y_{1}
Shooting_method
Class of numerical techniques
Press. p. 23. ISBN 9780521734905. Hoffman JD; Frankel S (2001). Numerical methods for engineers and scientists. CRC Press, Boca Raton. Jaluria Y; Atluri
Finite_difference_method
Property of a structural cross-section
general, the method to calculate M p {\displaystyle M_{p}} first requires calculation of the plastic section modulus Z P {\displaystyle Z_{P}} and then
Plastic_moment
Interplay between observation, experiment, and theory in science
The scientific method is an empirical method for acquiring knowledge through careful observation, rigorous skepticism, hypothesis testing, and experimental
Scientific_method
Control loop feedback mechanism
the relay method. The transfer function for a first-order process with dead time is y ( s ) = k p e − θ s τ p s + 1 u ( s ) , {\displaystyle y(s)={\frac
PID_controller
Expression in mathematics
property P(x,y) of real numbers is known to be symmetric in x and y, namely that P(x,y) is equivalent to P(y,x), then in proving that P(x,y) holds for
Without_loss_of_generality
Type of differential equation
x , u y , u , x , y ) u x x + a 2 ( u x , u y , u , x , y ) u x y + a 3 ( u x , u y , u , x , y ) u y x + a 4 ( u x , u y , u , x , y ) u y y + f ( u
Partial_differential_equation
Algorithm for linear programming
In mathematical optimization, Dantzig's simplex algorithm (or simplex method) is an algorithm for linear programming. The name of the algorithm is derived
Simplex_algorithm
Method for numerical solution of certain systems of equations
with the Arnoldi method; find the y n {\displaystyle y_{n}} which minimizes ‖ r n ‖ {\displaystyle \|r_{n}\|} ; compute x n = x 0 + Q n y n {\displaystyle
Generalized minimal residual method
Generalized_minimal_residual_method
Method for dimension reduction in statistics
is a method of studying the relationship between a response variable y and its input variable x _ {\displaystyle {\underline {x}}} , which is a p-dimensional
Sliced_inverse_regression
Non-linear partial differential equation encountered in problems of wave propagation
( x , y ) = | y | − n ( x ) {\displaystyle H(x,y)=|y|-n(x)} , then equation (2) becomes (1). Eikonal equations naturally arise in the WKB method and the
Eikonal_equation
Polynomial equation of degree two
Herbert (1879), Graphical Method for finding readily the Real Roots of Numerical Equations of Any Degree, West Point N. Y. Weisstein, Eric W. "Carlyle
Quadratic_equation
Probability distribution
value.) The Wald method, although commonly recommended in textbooks, is the most biased.[clarification needed] If X ~ B(n, p) and Y ~ B(m, p) are independent
Binomial_distribution
Basic method for pseudo-random number sampling
probability integral transform, the inverse transformation method, or the Smirnov transform) is a basic method for pseudo-random number sampling, i.e., for generating
Inverse_transform_sampling
Hypothesized sex-selection method
Y sperm, according to the theory, making conception of a girl more likely The Shettles method aims to exploit these two factors. The Shettles method differs
Shettles_method
Regularization method for artificial neural networks
of linear nodes, in an artificial neural net can be described as y i {\displaystyle y_{i}} – output from node i {\displaystyle i} w i j {\displaystyle
Dropout_(neural_networks)
Methods of induction by John Stuart Mill
p. 455. This method is also known more generally as the most similar systems design within comparative politics. A B C D occur together with w x y z
Mill's_methods
Method for estimating the unknown parameters in a linear regression model
e = p ⋅ y = 0.70001 {\displaystyle e=p\cdot y=0.70001} Bayesian least squares Fama–MacBeth regression Nonlinear least squares Numerical methods for linear
Ordinary_least_squares
Set of statistical processes for estimating the relationships among variables
value of the dependent variable, y i {\displaystyle y_{i}} . One method of estimation is ordinary least squares. This method obtains parameter estimates that
Regression_analysis
Most general completion of a commutative square given two morphisms with same domain
Common notations for the pushout are P = X ⊔ Z Y {\displaystyle P=X\sqcup _{Z}Y} and P = X + Z Y {\displaystyle P=X+_{Z}Y} . The pushout is the categorical
Pushout_(category_theory)
Speed of convergence of a mathematical sequence
important properties of the gridding method. A sequence of approximate grid solutions ( y k ) {\displaystyle (y_{k})} of some problem that converges to
Rate_of_convergence
Relationship between elements of two sets
the class of all y ∈ Y {\displaystyle y\in Y} such that y R x {\displaystyle yRx} , i.e. { y ∈ Y , y R x } {\displaystyle \{y\in Y,yRx\}} , is a set.
Binary_relation
Mathematical tool to algorithmically solve equations
y ) {\displaystyle (x,y)} of F {\displaystyle F} , y = g ( x ) {\displaystyle y=g(x)} . We define numerical method for the approximation of F ( x , y
Numerical_method
Root-finding algorithm
y 2 − x = 0 {\displaystyle {\tfrac {1}{y^{2}}}-x=0} , Newton's method gives f ( y ) = 1 y 2 − x f ′ ( y ) = − 2 y 3 y n + 1 = y n − f ( y n ) f ′ ( y
Fast_inverse_square_root
Concentration of glucose present in the blood (Glycaemia)
Renschler. A noninvasive method of sampling to monitor glucose levels has emerged using an exhaled breath condensate. However this method does need highly sensitive
Blood_sugar_level
Estimates values in an N-dimensional matrix
matrix Y {\displaystyle Y} ( Y ∈ N n × m ) {\displaystyle (Y\in \mathbb {N} ^{n\times m})} . However, there are differences between the NM-method and the
Iterative proportional fitting
Iterative_proportional_fitting
Set of all Pareto efficient situations
y ′ ′ ≻ y ′ , y ′ ≠ y ′ ′ } = ∅ } . {\displaystyle P(Y)=\{y^{\prime }\in Y:\;\{y^{\prime \prime }\in Y:\;y^{\prime \prime }\succ y^{\prime },y^{\prime
Pareto_front
Method of solution for inhomogeneous ODEs
say that the particular integral y p {\displaystyle y_{p}} is y p = y p 1 + y p 2 . {\displaystyle y_{p}=y_{p_{1}}+y_{p_{2}}.} In order to find the particular
Method of undetermined coefficients
Method_of_undetermined_coefficients
Probability distribution
function P ( Y = k ) = ( P Q ) k ( 1 − P Q ) {\displaystyle P(Y=k)=\left({\frac {P}{Q}}\right)^{k}\left(1-{\frac {P}{Q}}\right)} where P = 1 − p p {\displaystyle
Geometric_distribution
Special function called to create an object
implicitly. The method of calling the constructor implicitly is also called the shorthand method. class Point { private: int x; int y; public: Point()
Constructor (object-oriented programming)
Constructor_(object-oriented_programming)
Optimization algorithm
Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e
Stochastic_gradient_descent
Algorithm for finding polynomial roots
relations are used a 1 k = − ( y 1 + y 2 + ⋯ + y n ) a 2 k = y 1 y 2 + y 1 y 3 + ⋯ + y n − 1 y n ⋮ a n k = ( − 1 ) n ( y 1 y 2 ⋯ y n ) . {\displaystyle
Graeffe's_method
Optimization algorithm
known as the conditional gradient method, reduced gradient algorithm and the convex combination algorithm, the method was originally proposed by Marguerite
Frank–Wolfe_algorithm
Absolute value of (x - y), a metric
x − y | = | y − x | {\displaystyle |x-y|=|y-x|} (symmetry or commutativity). | x − z | ≤ | x − y | + | y − z | {\displaystyle |x-z|\leq |x-y|+|y-z|} (the
Absolute_difference
P Y-METHOD
P Y-METHOD
Surname or Lastname
English (Norman)
English (Norman) : nickname from a diminutive of Old French dur ‘hard(y)’.
Surname or Lastname
English (East Anglia)
English (East Anglia) : perhaps a variant of Pa(y)ling, a variant of Palin.Possibly also an Americanized form of German Bühling, a habitational name from any of several places so named.
Girl/Female
Bengali, Indian
Rose
Surname or Lastname
French
French : from a pet form of the personal name P(i)erre, French form of Peter.English (Bristol) : variant of Parrott
Surname or Lastname
English
English : from a personal name, Old English SnÄ«p or Old Norse SnÃpr.English : habitational name from a place so called in former Northumberland.
Surname or Lastname
English
English : occupational name for a carrier, from Middle English sum(p)ter ‘(driver of a) pack animal’.
Girl/Female
Ghana, Indian
Gift
Surname or Lastname
English
English : topographic name for someone who lived on or by a strip of land, Old English strīp.
Surname or Lastname
English
English : unexplained. Possibly a habitational name from an Anglicized form of the Welsh place name Betws-y-coed ‘prayer house in the wood’.
Surname or Lastname
English
English : variant of Cudlip(p), a habitational name from Cudlipptown in Petertavy, Devon.Americanized form of German Gottlieb.
Surname or Lastname
Ukrainian, Jewish (from Ukraine), Polish, Serbian, and Hungarian (Cáp)
Ukrainian, Jewish (from Ukraine), Polish, Serbian, and Hungarian (Cáp) : from Ukrainian tsap ‘billy goat’, Polish cap, and so probably a nickname for someone thought to resemble the animal in some way or perhaps a metonymic occupational name for a goat herd.Czech (Čáp) : nickname for a tall or long-legged man, from Äáp ‘stork’.Southern French : from Occitan cap ‘head’ (Latin caput); probably a nickname for a person with something distinctive about his head. The word was often used in the metaphorical sense ‘chief’, ‘principal’, and the surname may also have denoted a leader or a village elder. In some cases it may also be a topographic name from the same word used in the sense of a promontory or headland.Americanized spelling of German Kapp.English : variant spelling of Capp.
Girl/Female
Indian
Soft
Boy/Male
Indian
Deer name of a sahabi who p
Boy/Male
Muslim
Deer name of a sahabi who p
Girl/Female
Australian, British, English, Teutonic
Queen
Girl/Female
British, English
Love
Girl/Female
Australian, British, Danish, English, German
Mistress of All; Power of the Home; World Ruler; P
Surname or Lastname
Americanized spelling of Swedish Ap(p)elberg, an ornamental name composed of the elements apel ‘apple tree’ + berg ‘mountain’.English
Americanized spelling of Swedish Ap(p)elberg, an ornamental name composed of the elements apel ‘apple tree’ + berg ‘mountain’.English : the surname Applebury is recorded in England in the 19th century, perhaps a habitational name from a lost place.
Male
Hungarian
Hungarian form of English Philip, FÜLÖP means "lover of horses."
Surname or Lastname
English
English : from the medieval personal name Ton(e)y, a reduced form of Anthony.
P Y-METHOD
P Y-METHOD
Girl/Female
Indian
Indispensable
Girl/Female
American, British, Danish, English, French, Swedish
Full of Grace; Grace; Variant of Anne Favor; Favour
Biblical
lividness
Girl/Female
Muslim
Good fortune
Boy/Male
Tamil
One of the Pandavas princes
Girl/Female
Hindu
Very pleasing, Greatly pleased or Happy
Boy/Male
Latin
ATrojan spy.
Boy/Male
Arabic, Muslim, Sindhi
Place of Ascent; Ascension to Heaven
Boy/Male
German
Noble Spear-man
Girl/Female
Hindu, Indian
Indian Goddess of Mercy; Kundalini Shakti and Slayer of Evil
P Y-METHOD
P Y-METHOD
P Y-METHOD
P Y-METHOD
P Y-METHOD
pl.
of Y
prefix.
See Y-.
a.
In the form of the letter Y; Y-shaped.
pl.
of Y
pl.
of Tracer/y
n.
Something shaped like the letter Y; a forked piece resembling in form the letter Y.
n.
The letter Y.