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ITERATIVE METHOD

  • Iterative method
  • Numerical approximation algorithm

    Newton's method, or quasi-Newton methods like BFGS, is an algorithm of an iterative method or a method of successive approximation. An iterative method is called

    Iterative method

    Iterative_method

  • Newton's method
  • Algorithm for finding zeros of functions

    his method in an iterative manner to a nonpolynomial equation, specifically Kepler's equation, which were the first published uses of Newton's method in

    Newton's method

    Newton's method

    Newton's_method

  • Newton's method in optimization
  • Method for finding stationary points of a function

    In calculus, Newton's method (also called Newton–Raphson) is an iterative method for finding the roots of a differentiable function f {\displaystyle f}

    Newton's method in optimization

    Newton's method in optimization

    Newton's_method_in_optimization

  • Jacobi method
  • Iterative method used to solve a linear system of equations

    In numerical linear algebra, the Jacobi method (a.k.a. the Jacobi iteration method) is an iterative algorithm for determining the solutions of a strictly

    Jacobi method

    Jacobi_method

  • Relaxation (iterative method)
  • Iterative solving method

    mathematics, relaxation methods are iterative methods for solving systems of equations, including nonlinear systems. Relaxation methods were developed for

    Relaxation (iterative method)

    Relaxation_(iterative_method)

  • Iteration
  • Repetition of a process

    Collatz conjecture and juggler sequences. Another use of iteration in mathematics is in iterative methods which are used to produce approximate numerical solutions

    Iteration

    Iteration

  • Square root algorithms
  • Algorithms for calculating square roots

    root computation methods are iterative: after choosing a suitable initial estimate of S {\displaystyle {\sqrt {S}}} , an iterative refinement is performed

    Square root algorithms

    Square_root_algorithms

  • Simple rational approximation
  • Edmond Halley. Halley's formula is known as one-point third-order iterative method to solve f ( x ) = 0 {\displaystyle \,f(x)=0} by means of approximating

    Simple rational approximation

    Simple_rational_approximation

  • Iterative and incremental development
  • Development methodology

    Iterative and incremental development is any combination of both iterative design (or iterative method) and incremental build model for development. Usage

    Iterative and incremental development

    Iterative and incremental development

    Iterative_and_incremental_development

  • Numerical analysis
  • Methods for numerical approximations

    (2003). Iterative methods for sparse linear systems. SIAM. ISBN 978-0-89871-534-7. Hageman, L.A.; Young, D.M. (2012). Applied iterative methods (2nd ed

    Numerical analysis

    Numerical analysis

    Numerical_analysis

  • Fixed-point iteration
  • Root-finding algorithm

    iteration, constructing the solution to the equation. Solving an ODE in this way is called Picard iteration, Picard's method, or the Picard iterative

    Fixed-point iteration

    Fixed-point_iteration

  • Conjugate gradient method
  • Mathematical optimization algorithm

    matrix is positive-semidefinite. The conjugate gradient method is often implemented as an iterative algorithm, applicable to sparse systems that are too

    Conjugate gradient method

    Conjugate gradient method

    Conjugate_gradient_method

  • Iterator
  • Object that enables processing collection items in order

    over the key and values; the keys method to iterate over the hash's keys; and the values method to iterate over the hash's values. my %word-to-number =

    Iterator

    Iterator

  • Root-finding algorithm
  • Algorithms for zeros of functions

    necessarily mean that no root exists. Most numerical root-finding methods are iterative methods, producing a sequence of numbers that ideally converges towards

    Root-finding algorithm

    Root-finding_algorithm

  • Multigrid method
  • Method of solving differential equations

    MG methods can be used as solvers as well as preconditioners. The main idea of multigrid is to accelerate the convergence of a basic iterative method (known

    Multigrid method

    Multigrid_method

  • Gradient descent
  • Optimization algorithm

    Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate

    Gradient descent

    Gradient descent

    Gradient_descent

  • Broyden's method
  • Quasi-Newton root-finding method for the multivariable case

    published before the two methods defined by Broyden. For the DFP method, ϕ k = 1 {\displaystyle \phi _{k}=1} . Anderson's iterative method, which uses a least

    Broyden's method

    Broyden's_method

  • Progressive-iterative approximation method
  • Computer-aided geometric design

    during the iterative process. Therefore, it has been widely used in geometric design and related fields. The study of the iterative method with geometric

    Progressive-iterative approximation method

    Progressive-iterative_approximation_method

  • Lanczos algorithm
  • Numerical eigenvalue calculation

    The Lanczos algorithm is an iterative method devised by Cornelius Lanczos that is an adaptation of power methods to find the m {\displaystyle m} "most

    Lanczos algorithm

    Lanczos_algorithm

  • Gauss–Seidel method
  • Iterative method used to solve a linear system of equations

    algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a system

    Gauss–Seidel method

    Gauss–Seidel_method

  • Preconditioner
  • Transforms equations for numerical solution

    method, and generalized minimal residual method. Iterative methods, which use scalar products to compute the iterative parameters, require corresponding changes

    Preconditioner

    Preconditioner

  • Ellipsoid method
  • Iterative method for minimizing convex functions

    optimization, the ellipsoid method is an iterative method for minimizing convex functions over convex sets. The ellipsoid method generates a sequence of ellipsoids

    Ellipsoid method

    Ellipsoid method

    Ellipsoid_method

  • Quasi-Newton method
  • Optimization algorithm

    quasi-Newton method is an iterative numerical method used either to find zeroes or to find local maxima and minima of functions via an iterative recurrence

    Quasi-Newton method

    Quasi-Newton_method

  • Arnoldi iteration
  • Iterative method for approximating eigenvectors

    numerical linear algebra, the Arnoldi iteration is an eigenvalue algorithm and an important example of an iterative method. Arnoldi finds an approximation to

    Arnoldi iteration

    Arnoldi_iteration

  • Iteratively reweighted least squares
  • Method for solving certain optimization problems

    _{i=1}^{n}{\big |}y_{i}-f_{i}({\boldsymbol {\beta }}){\big |}^{p},} by an iterative method in which each step involves solving a weighted least squares problem

    Iteratively reweighted least squares

    Iteratively_reweighted_least_squares

  • Hardy Cross method
  • Method for determining flow in pipe network systems

    The Hardy Cross method is an iterative method for determining the flow in pipe network systems where the inputs and outputs are known, but the flow inside

    Hardy Cross method

    Hardy Cross method

    Hardy_Cross_method

  • Generalized minimal residual method
  • Method for numerical solution of certain systems of equations

    residual method (GMRES) is an iterative method for the numerical solution of an indefinite nonsymmetric system of linear equations. The method approximates

    Generalized minimal residual method

    Generalized_minimal_residual_method

  • Expectation–maximization algorithm
  • Iterative method for finding maximum likelihood estimates in statistical models

    In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates

    Expectation–maximization algorithm

    Expectation–maximization algorithm

    Expectation–maximization_algorithm

  • Mathematical optimization
  • Study of mathematical algorithms for optimization problems

    single coordinate in each iteration Conjugate gradient methods: Iterative methods for large problems. (In theory, these methods terminate in a finite number

    Mathematical optimization

    Mathematical optimization

    Mathematical_optimization

  • Domain decomposition methods
  • Type of numerical method

    decomposition methods suitable for parallel computing. Domain decomposition methods are typically used as preconditioners for Krylov space iterative methods, such

    Domain decomposition methods

    Domain decomposition methods

    Domain_decomposition_methods

  • Agile software development
  • Umbrella term for certain approaches to software development

    of iterative life cycle where deliverables are submitted in stages. The main difference between agile and iterative development is that agile methods complete

    Agile software development

    Agile_software_development

  • Hartree–Fock method
  • Approximation method in quantum physics

    equations are almost universally solved by means of an iterative method, although the fixed-point iteration algorithm does not always converge. This solution

    Hartree–Fock method

    Hartree–Fock_method

  • Chebyshev iteration
  • algebra, the Chebyshev iteration is an iterative method for determining the solutions of a system of linear equations. The method is named after Russian

    Chebyshev iteration

    Chebyshev_iteration

  • Runge–Kutta methods
  • Family of implicit and explicit iterative methods

    Runge–Kutta methods (English: /ˈrʊŋəˈkʊtɑː/ RUUNG-ə-KUUT-tah) are a family of implicit and explicit iterative methods, which include the Euler method, used

    Runge–Kutta methods

    Runge–Kutta methods

    Runge–Kutta_methods

  • H-matrix (iterative method)
  • a matrix whose comparison matrix is an M-matrix. It is useful in iterative methods. Definition: Let A = (aij) be a n × n complex matrix. Then comparison

    H-matrix (iterative method)

    H-matrix_(iterative_method)

  • Superiorization
  • Mathematical method

    Superiorization is an iterative method for constrained optimization. It is used for improving the efficacy of an iterative method whose convergence is

    Superiorization

    Superiorization

  • Eigenvalues and eigenvectors
  • Concepts from linear algebra

    example of an efficient iterative method to compute eigenvalues and eigenvectors, among several other possibilities. Most numeric methods that compute the eigenvalues

    Eigenvalues and eigenvectors

    Eigenvalues_and_eigenvectors

  • Schwarz alternating method
  • Iterative method in conformal mapping

    In mathematics, the Schwarz alternating method or alternating process is an iterative method introduced in 1869–1870 by Hermann Schwarz in the theory of

    Schwarz alternating method

    Schwarz alternating method

    Schwarz_alternating_method

  • Biconjugate gradient stabilized method
  • Concept in mathematics

    algebra, the biconjugate gradient stabilized method, often abbreviated as BiCGSTAB, is an iterative method developed by H. A. van der Vorst for the numerical

    Biconjugate gradient stabilized method

    Biconjugate_gradient_stabilized_method

  • Cavity method
  • Mathematical method in statistical physics

    glasses, the cavity method has shown wider applicability. It can be regarded as a generalization of the Bethe–Peierls iterative method in tree-like graphs

    Cavity method

    Cavity_method

  • Iterative refinement
  • Method to improve accuracy of numerical solutions to systems of linear equations

    Iterative refinement is an iterative method proposed by James H. Wilkinson to improve the accuracy of numerical solutions to systems of linear equations

    Iterative refinement

    Iterative_refinement

  • Conjugate gradient squared method
  • Algorithm for solving matrix-vector equations

    Hence, iterative methods are commonly used. Iterative methods begin with a guess x ( 0 ) {\displaystyle {\mathbf {x}}^{(0)}} , and on each iteration the

    Conjugate gradient squared method

    Conjugate_gradient_squared_method

  • Barzilai–Borwein method
  • Mathematical optimization method

    The Barzilai–Borwein method is an iterative gradient descent method for unconstrained optimization using either of two step sizes derived from the linear

    Barzilai–Borwein method

    Barzilai–Borwein_method

  • Stochastic gradient descent
  • 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

    Stochastic_gradient_descent

  • Moore–Penrose inverse
  • Most widely known generalized inverse of a matrix

    Torsten; Stewart, G. W. (1974). "On the Numerical Properties of an Iterative Method for Computing the Moore–Penrose Generalized Inverse". SIAM Journal

    Moore–Penrose inverse

    Moore–Penrose_inverse

  • Power iteration
  • Eigenvalue algorithm

    In mathematics, power iteration (also known as the power method) is an eigenvalue algorithm: given a diagonalizable matrix A {\displaystyle A} , the algorithm

    Power iteration

    Power_iteration

  • Successive over-relaxation
  • Method of solving a linear system of equations

    equations, resulting in faster convergence. A similar method can be used for any slowly converging iterative process. It was devised simultaneously by David

    Successive over-relaxation

    Successive_over-relaxation

  • Alternating-direction implicit method
  • Iterative method for solving the Sylvester matrix equations

    alternating-direction implicit (ADI) method is an iterative method used to solve Sylvester matrix equations. It is a popular method for solving the large matrix

    Alternating-direction implicit method

    Alternating-direction_implicit_method

  • Steffensen's method
  • Newton-like root-finding algorithm that does not use derivatives

    Steffensen's method is an iterative method named after Johan Frederik Steffensen for numerical root-finding that is similar to the secant method and to Newton's

    Steffensen's method

    Steffensen's_method

  • Landweber iteration
  • problems, the iterative method needs to be stopped at a suitable iteration index, because it semi-converges. This means that the iterates approach a regularized

    Landweber iteration

    Landweber_iteration

  • Multiple sequence alignment
  • Alignment of more than two molecular sequences

    when refining an alignment previously constructed by a faster method. Another iterative program, DIALIGN, takes an unusual approach of focusing narrowly

    Multiple sequence alignment

    Multiple sequence alignment

    Multiple_sequence_alignment

  • Rate of convergence
  • Speed of convergence of a mathematical sequence

    for two types of sequences: the first for sequences of iterations of an iterative numerical method and the second for sequences of successively more accurate

    Rate of convergence

    Rate_of_convergence

  • Anderson acceleration
  • Iterative method in numerical analysis

    also called Anderson mixing, is a method for the acceleration of the convergence rate of fixed-point iterations. Introduced by Donald G. Anderson, this

    Anderson acceleration

    Anderson_acceleration

  • MM
  • Topics referred to by the same term

    Objective-C++ mm tree, the Andrew Morton's Linux kernel tree MM algorithm, an iterative method for constructing optimization algorithms Columbia MM, an early e-mail

    MM

    MM

  • Ordered subset expectation maximization
  • maximization (OSEM) method is an iterative method that is used in computed tomography. In applications in medical imaging, the OSEM method is used for positron

    Ordered subset expectation maximization

    Ordered_subset_expectation_maximization

  • PageRank
  • Algorithm used by Google Search to rank web pages

    be computed either iteratively or algebraically. The iterative method can be viewed as the power iteration method or the power method. The basic mathematical

    PageRank

    PageRank

    PageRank

  • Folded spectrum method
  • Mathematical method for solving large eigenvalue problems

    In mathematics, the folded spectrum method (FSM) is an iterative method for solving large eigenvalue problems. Here you always find a vector with an eigenvalue

    Folded spectrum method

    Folded_spectrum_method

  • Finite element method
  • Numerical method for solving physical or engineering problems

    quadrature rules. Loubignac iteration is an iterative method in finite element methods. The crystal plasticity finite element method (CPFEM) is an advanced

    Finite element method

    Finite element method

    Finite_element_method

  • Fast sweeping method
  • The fast sweeping method is an iterative method which uses upwind difference for discretization and uses Gauss–Seidel iterations with alternating sweeping

    Fast sweeping method

    Fast_sweeping_method

  • Compressed sensing
  • Signal processing technique

    it is concluded that iterative directional total variation has a better reconstructed performance than the non-iterative methods in preserving edge and

    Compressed sensing

    Compressed_sensing

  • Local convergence
  • numerical analysis, an iterative method is called locally convergent if the successive approximations produced by the method are guaranteed to converge

    Local convergence

    Local_convergence

  • Numerical methods for partial differential equations
  • Branch of numerical analysis

    primal method. Non-overlapping domain decomposition methods are also called iterative substructuring methods. Mortar methods are discretization methods for

    Numerical methods for partial differential equations

    Numerical_methods_for_partial_differential_equations

  • Scarborough criterion
  • be converged by at least one iterative method. If Scarborough criterion is not satisfied then Gauss–Seidel method iterative procedure is not guaranteed

    Scarborough criterion

    Scarborough_criterion

  • Iterative reconstruction
  • Image reconstruction algorithms

    Iterative reconstruction refers to iterative algorithms used to reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography

    Iterative reconstruction

    Iterative reconstruction

    Iterative_reconstruction

  • Iterative closest point
  • Algorithm

    Iterative closest point (ICP) is a point cloud registration algorithm employed to minimize the difference between two clouds of points. ICP is often used

    Iterative closest point

    Iterative closest point

    Iterative_closest_point

  • Loubignac iteration
  • In applied mathematics, Loubignac iteration is an iterative method in finite element methods. It gives continuous stress field. It is named after Gilles

    Loubignac iteration

    Loubignac_iteration

  • QR algorithm
  • Algorithm to calculate eigenvalues

    Golub & Kahan (1965). The LAPACK subroutine DBDSQR implements this iterative method, with some modifications to cover the case where the singular values

    QR algorithm

    QR_algorithm

  • Krylov subspace
  • Linear subspace generated from a vector acted on by a power series of a matrix

    orthogonal complement to the Krylov subspace. Modern iterative methods such as Arnoldi iteration can be used for finding one (or a few) eigenvalues of

    Krylov subspace

    Krylov_subspace

  • Numerical linear algebra
  • Field of mathematics

    ISBN 978-0-89871-503-3 Varga, Richard S. (2000): Matrix Iterative Analysis, Springer. Yousef Saad (2003) : Iterative Methods for Sparse Linear Systems, 2nd Ed., SIAM

    Numerical linear algebra

    Numerical_linear_algebra

  • Markov decision process
  • Mathematical model for sequential decision making under uncertainty

    included as a special case the value iteration method for MDPs, but this was recognized only later on. Value iteration is guaranteed to converge for γ <

    Markov decision process

    Markov_decision_process

  • Jacobi eigenvalue algorithm
  • Numerical linear algebra algorithm

    In numerical linear algebra, the Jacobi eigenvalue algorithm is an iterative method for the calculation of the eigenvalues and eigenvectors of a real symmetric

    Jacobi eigenvalue algorithm

    Jacobi_eigenvalue_algorithm

  • Early stopping
  • Method in machine learning

    with an iterative method, such as gradient descent. Such methods update the model to make it better fit the training data with each iteration. Up to a

    Early stopping

    Early_stopping

  • Ridders' method
  • Root-finding algorithm in numerical analysis

    function. It's an iterative method that combines the false position method with an exponential function to converge on a root. The method is generally considered

    Ridders' method

    Ridders'_method

  • Sidi's generalized secant method
  • published by Avram Sidi. The method is a generalization of the secant method. Like the secant method, it is an iterative method which requires one evaluation

    Sidi's generalized secant method

    Sidi's_generalized_secant_method

  • Hand–eye calibration problem
  • Robotics problem on coordinating two parts of a robot

    forms of several types of methods, including separable closed-form solutions, simultaneous closed-form solutions, and iterative solutions. The covariance

    Hand–eye calibration problem

    Hand–eye_calibration_problem

  • Polynomial root-finding
  • purposes, numerical solutions are necessary. The earliest iterative approximation methods of root-finding were developed to compute square roots. In

    Polynomial root-finding

    Polynomial_root-finding

  • Modified Richardson iteration
  • Iterative method used to solve a linear system of equations

    Modified Richardson iteration is an iterative method for solving a system of linear equations. Richardson iteration was proposed by Lewis Fry Richardson

    Modified Richardson iteration

    Modified_Richardson_iteration

  • Gauss–Newton algorithm
  • Mathematical algorithm

    iterative method, such as the conjugate gradient method, may be more efficient. If there is a linear dependence between columns of Jr, the iterations

    Gauss–Newton algorithm

    Gauss–Newton algorithm

    Gauss–Newton_algorithm

  • Square root
  • Number whose square is a given number

    square. The most common iterative method of square root calculation by hand is known as the "Babylonian method" or "Heron's method" after the first-century

    Square root

    Square root

    Square_root

  • Luus–Jaakola
  • an algorithm that terminates with an optimal solution; nor is it an iterative method that generates a sequence of points that converges to an optimal solution

    Luus–Jaakola

    Luus–Jaakola

  • Adjoint state method
  • Numerical method

    The adjoint method is derived from the dual problem and is used e.g. in the Landweber iteration method. The name adjoint state method refers to the

    Adjoint state method

    Adjoint_state_method

  • Auction algorithm
  • highest bidders. The original form of the auction algorithm is an iterative method to find the optimal prices and an assignment that maximizes the net

    Auction algorithm

    Auction_algorithm

  • Kaczmarz method
  • Algorithm

    The Kaczmarz method or Kaczmarz's algorithm is an iterative algorithm for solving linear equation systems A x = b {\displaystyle Ax=b} . It was first discovered

    Kaczmarz method

    Kaczmarz_method

  • Random sample consensus
  • Statistical method

    Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data that contains outliers

    Random sample consensus

    Random_sample_consensus

  • Sequential quadratic programming
  • Optimization algorithm

    programming (SQP) is an iterative method for constrained nonlinear optimization, also known as Lagrange-Newton method. SQP methods are used on mathematical

    Sequential quadratic programming

    Sequential_quadratic_programming

  • Sequential linear-quadratic programming
  • Sequential linear-quadratic programming (SLQP) is an iterative method for nonlinear optimization problems where objective function and constraints are

    Sequential linear-quadratic programming

    Sequential_linear-quadratic_programming

  • Pomodoro Technique
  • Time management method

    related to concepts such as timeboxing and iterative and incremental development used in software design, the method has been adopted in pair programming contexts

    Pomodoro Technique

    Pomodoro Technique

    Pomodoro_Technique

  • Inverse iteration
  • Mathematical algorithm

    In numerical analysis, inverse iteration (also known as the inverse power method) is an iterative eigenvalue algorithm. It allows one to find an approximate

    Inverse iteration

    Inverse_iteration

  • Frank–Wolfe algorithm
  • Optimization algorithm

    algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional gradient method, reduced gradient

    Frank–Wolfe algorithm

    Frank–Wolfe_algorithm

  • Brent's method
  • Root-finding algorithm

    Ridders' method, which performs exponential interpolations instead of quadratic providing a simpler closed formula for the iterations; and the ITP method which

    Brent's method

    Brent's_method

  • Uzawa iteration
  • positive-definite, we can apply standard iterative methods like the gradient descent method or the conjugate gradient method to solve S x 2 = B ∗ A − 1 b 1 −

    Uzawa iteration

    Uzawa_iteration

  • Fixed-point theorem
  • Condition for a mathematical function to map some value to itself

    A. (1990). Nonstandard Methods in fixed point theory. Springer Verlag. ISBN 0-387-97364-8. Berinde, Vasile (2005). Iterative Approximation of Fixed Point

    Fixed-point theorem

    Fixed-point_theorem

  • Derivation of the conjugate gradient method
  • In numerical linear algebra, the conjugate gradient method is an iterative method for numerically solving the linear system A x = b {\displaystyle {\boldsymbol

    Derivation of the conjugate gradient method

    Derivation_of_the_conjugate_gradient_method

  • Iterated function
  • Result of repeatedly applying a mathematical function

    f_{t}(f_{\tau }(x))=f_{t+\tau }(x)~.} Irrational rotation Iterated function system Iterative method Rotation number Sarkovskii's theorem Fractional calculus

    Iterated function

    Iterated function

    Iterated_function

  • Descent direction
  • \mathbb {R} } . Computing x ∗ {\displaystyle \mathbf {x} ^{*}} by an iterative method, such as line search defines a descent direction p k ∈ R n {\displaystyle

    Descent direction

    Descent_direction

  • Rayleigh quotient iteration
  • Eigenvalue algorithm

    increasingly accurate eigenvalue estimates. Rayleigh quotient iteration is an iterative method, that is, it delivers a sequence of approximate solutions that

    Rayleigh quotient iteration

    Rayleigh_quotient_iteration

  • Waring's problem
  • Mathematical problem in number theory

    problem of Waring by Schnirelman's method". Mat. Sb., N. Ser. 12 (54), 225–230 (1943). R. C. Vaughan, "A new iterative method in Waring's problem". Acta Mathematica

    Waring's problem

    Waring's_problem

  • Discretization
  • Conversion of continuous functions into discrete counterparts

    error and quantization error. Mathematical methods relating to discretization include the Euler–Maruyama method and the zero-order hold. Discretization is

    Discretization

    Discretization

    Discretization

  • Recursion (computer science)
  • Use of functions that call themselves

    other methods may be used). Every recursive function can be transformed into an iterative function by replacing recursive calls with iterative control

    Recursion (computer science)

    Recursion (computer science)

    Recursion_(computer_science)

  • Conjugate residual method
  • conjugate residual method is an iterative numeric method used for solving systems of linear equations. It's a Krylov subspace method very similar to the

    Conjugate residual method

    Conjugate_residual_method

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Online names & meanings

  • Seirath
  • Girl/Female

    Biblical

    Seirath

    Hairy, goat, demon, tempest.

  • Antionette
  • Girl/Female

    American, Australian, Chinese, Jamaican, Latin

    Antionette

    Beyond Price; Form of Antonia; Flourishing; Praiseworthy

  • Tamal
  • Boy/Male

    Arabic, Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Muslim, Telugu

    Tamal

    A Kind of Tree; A Tree with Very Dark Bark

  • Aylward
  • Surname or Lastname

    English

    Aylward

    English : from a Middle English personal name, Ailward, representing a coalescence of at least two Old English names: Æ{dh}elweard ‘noble guardian’ and Ælfweard ‘elf guardian’.

  • Sarprit
  • Girl/Female

    Indian, Punjabi, Sikh

    Sarprit

    Essence of Love; Favour or Fortune of God's Love

  • Adnan
  • Boy/Male

    Muslim Arabic

    Adnan

    Proper name. Ancestor of North Arabia.

  • Mercede
  • Girl/Female

    Italian

    Mercede

    Merciful.

  • ŽELJKO
  • Male

    Croatian

    ŽELJKO

    , desires peace.

  • Qaraar
  • Boy/Male

    Arabic

    Qaraar

    Rest; Firmness

  • Donogb
  • Boy/Male

    Celtic

    Donogb

    Strong fighter.

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ITERATIVE METHOD

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ITERATIVE METHOD

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Other words and meanings similar to

ITERATIVE METHOD

AI search in online dictionary sources & meanings containing ITERATIVE METHOD

ITERATIVE METHOD

  • Iterate
  • v. t.

    To utter or do a second time or many times; to repeat; as, to iterate advice.

  • Imperative
  • a.

    Expressive of commund, entreaty, advice, or exhortation; as, the imperative mood.

  • Operative
  • a.

    Producing the appropriate or designed effect; efficacious; as, an operative dose, rule, or penalty.

  • Iterating
  • p. pr. & vb. n.

    of Iterate

  • Iterate
  • adv.

    By way of iteration.

  • Volti
  • imperative.

    Turn, that is, turn over the leaf.

  • Imperative
  • a.

    Not to be avoided or evaded; obligatory; binding; compulsory; as, an imperative duty or order.

  • Operant
  • a.

    Operative.

  • Alterant
  • n.

    An alterative.

  • Aciurgy
  • n.

    Operative surgery.

  • Imperious
  • a.

    Imperative; urgent; compelling.

  • Iterated
  • imp. & p. p.

    of Iterate

  • Imperatory
  • a.

    Imperative.

  • Imperatorial
  • a.

    Commanding; imperative; authoritative.

  • Iterative
  • a.

    Repeating.

  • Imperative
  • n.

    The imperative mood; also, a verb in the imperative mood.

  • Imperative
  • a.

    Expressive of command; containing positive command; authoritatively or absolutely directive; commanding; authoritative; as, imperative orders.

  • Iterance
  • n.

    Iteration.

  • Operative
  • a.

    Having the power of acting; hence, exerting force, physical or moral; active in the production of effects; as, an operative motive.

  • Operative
  • a.

    Based upon, or consisting of, an operation or operations; as, operative surgery.