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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

  • 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)

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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)

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Iterative design
  • Design methodology

    checking loop which is used for iterative purposes. DMAIC uses the Six Sigma framework and has such a checking function. Iterative design is connected with the

    Iterative design

    Iterative_design

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • L-curve
  • Visualization method

    This method can be applied on methods of regularization of least-square problems, such as Tikhonov regularization and the Truncated SVD, and iterative methods

    L-curve

    L-curve

  • 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

  • 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

  • Singular value decomposition
  • Matrix decomposition

    the SVD of the bidiagonal matrix. This step can only be done with an iterative method (as with eigenvalue algorithms). However, in practice it suffices to

    Singular value decomposition

    Singular value decomposition

    Singular_value_decomposition

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • MM algorithm
  • Iterative optimization method

    The MM algorithm is an iterative optimization method which exploits the convexity of a function in order to find its maxima or minima. The MM stands for

    MM algorithm

    MM_algorithm

  • Van der Pauw method
  • Technique to measure resistivity and Hall coefficient

    constant and has approximate value 4.53236. In most other scenarios, an iterative method is used to solve the van der Pauw formula numerically for RS. Typically

    Van der Pauw method

    Van_der_Pauw_method

  • Sinkhorn's theorem
  • Every square matrix with positive entries can be written in a certain standard form

    positive number and dividing the second one by the same number. A simple iterative method to approach the double stochastic matrix is to alternately rescale

    Sinkhorn's theorem

    Sinkhorn's_theorem

  • Ho–Kashyap algorithm
  • Iterative method for finding a linear decision boundary

    The Ho–Kashyap algorithm is an iterative method in machine learning for finding a linear decision boundary that separates two linearly separable classes

    Ho–Kashyap algorithm

    Ho–Kashyap_algorithm

  • Slope
  • Mathematical term

    conjugate gradient method, generalizes the conjugate gradient method to nonlinear optimization Stochastic gradient descent, iterative method for optimizing

    Slope

    Slope

    Slope

  • 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

  • Iterative proportional fitting
  • Estimates values in an N-dimensional matrix

    The iterative proportional fitting procedure (IPF or IPFP, also known as biproportional fitting or biproportion in statistics or economics (input-output

    Iterative proportional fitting

    Iterative_proportional_fitting

  • Matrix splitting
  • Representation of a matrix as a sum

    represents a given matrix as a sum or difference of matrices. Many iterative methods (for example, for systems of differential equations) depend upon the

    Matrix splitting

    Matrix_splitting

  • 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

  • Sequence alignment
  • Process in bioinformatics that identifies equivalent sites within molecular sequences

    point of the progressive methods. Iterative methods optimize an objective function based on a selected alignment scoring method by assigning an initial

    Sequence alignment

    Sequence alignment

    Sequence_alignment

  • Smoothing (disambiguation)
  • Topics referred to by the same term

    handling data Smoothing (phonetics) Image smoothing Relaxation (iterative method), iterative smoothing of solutions and errors in computational science The

    Smoothing (disambiguation)

    Smoothing_(disambiguation)

  • 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

  • Broyden–Fletcher–Goldfarb–Shanno algorithm
  • Optimization method

    algorithm is an iterative method for solving unconstrained nonlinear optimization problems. Like the related Davidon–Fletcher–Powell method, BFGS determines

    Broyden–Fletcher–Goldfarb–Shanno algorithm

    Broyden–Fletcher–Goldfarb–Shanno_algorithm

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Online names & meanings

  • Apaara
  • Girl/Female

    Hindu, Indian, Marathi

    Apaara

    Infinite; Knowledge

  • Salihah
  • Girl/Female

    Egyptian Muslim

    Salihah

    Agreeable.

  • Zababa
  • Girl/Female

    Arabic, Muslim

    Zababa

    Head; Chief; Leader

  • Coralee
  • Girl/Female

    English

    Coralee

    Maiden.

  • Edlyn
  • Girl/Female

    Anglo Saxon English

    Edlyn

    Princess.

  • Rahat | راحت
  • Boy/Male

    Muslim

    Rahat | راحت

    Rest

  • Wadanhyll
  • Boy/Male

    British, English

    Wadanhyll

    From the Advancer's Hill

  • Sowmith
  • Boy/Male

    Indian

    Sowmith

    Wish; Good

  • Luhith
  • Biblical

    Luhith

    made of boards

  • Fleda
  • Girl/Female

    Australian, Teutonic

    Fleda

    Swift

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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

  • Iterance
  • n.

    Iteration.

  • Aciurgy
  • n.

    Operative surgery.

  • Iterating
  • p. pr. & vb. n.

    of Iterate

  • Operative
  • a.

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

  • Volti
  • imperative.

    Turn, that is, turn over the leaf.

  • Imperative
  • n.

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

  • Iterate
  • adv.

    By way of iteration.

  • Operative
  • a.

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

  • Alterant
  • n.

    An alterative.

  • Iterated
  • imp. & p. p.

    of Iterate

  • Imperative
  • a.

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

  • Imperative
  • a.

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

  • Imperatory
  • a.

    Imperative.

  • Imperatorial
  • a.

    Commanding; imperative; authoritative.

  • Iterative
  • a.

    Repeating.

  • Operative
  • a.

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

  • Imperative
  • a.

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

  • Imperious
  • a.

    Imperative; urgent; compelling.

  • Operant
  • a.

    Operative.

  • Iterate
  • v. t.

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