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Predictor--corrector methods

Predictor-corrector methods of Runge-Kutta type for stochastic differential equations

Predictor-corrector methods of Runge-Kutta type for stochastic differential equations

... PREDICTOR-CORRECTOR METHODS OF RUNGE–KUTTA TYPE FOR STOCHASTIC DIFFERENTIAL EQUATIONS ∗ KEVIN BURRAGE † AND TIANHAI TIAN † ...construct predictor-corrector (PC) methods based on ...

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Generalized multivalued equilibrium like problems: auxiliary principle technique and predictor corrector methods

Generalized multivalued equilibrium like problems: auxiliary principle technique and predictor corrector methods

... some predictor-corrector methods for solving ...iterative methods requires either partially relaxed monotonicity or jointly pseudomonotonicity of the bifunctions involved in ...known ...

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A Predictor-Corrector Methods for Mixed Inverse Variational Inequalities

A Predictor-Corrector Methods for Mixed Inverse Variational Inequalities

... Abstract. In this paper, a class of mixed inverse variational inequalities is introduced and stud- ied. We prove the existence of the solution of the auxiliary problem for mixed inverse variational inequalities, suggest ...

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Implicit-explicit predictor-corrector methods combined with improved spectral methods for pricing European style vanilla and exotic options

Implicit-explicit predictor-corrector methods combined with improved spectral methods for pricing European style vanilla and exotic options

... 23 with the following boundary conditions The analytic solution for the digital option is where d2 is in defined in ( 6.4). The discontinuous initial conditions for digital options are susceptible to cause numerical ...

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3 Multistep, Predictor-Corrector, and Implicit methods

3 Multistep, Predictor-Corrector, and Implicit methods

... That is, over those k steps taken past the point x change it would be using the information about the “pre-x change ” values of f , which are irrelevant for what is happening beyond x change . 6 3. In Sec. 3.6 we will ...
Strong Predictor-Corrector Euler Methods for Stochastic Differential Equations

Strong Predictor-Corrector Euler Methods for Stochastic Differential Equations

... the predictor step explicit, but the corrector step is also explicit since it uses the predicted ...two-step predictor-corrector procedure one can introduce some stabilizing effect not only in ...

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Two New Predictor-Corrector Iterative Methods with Third- and Ninth-Order Convergence for Solving Nonlinear Equations

Two New Predictor-Corrector Iterative Methods with Third- and Ninth-Order Convergence for Solving Nonlinear Equations

... Keywords: Nonlinear equations, Predictorcorrector methods, Trapezoidal integral rule, Centroid mean, Technique of updating the solution; Order of convergence. 1. Introduction The fundamental ...

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A New Predictor-Corrector Method for Solving Nonlinear Fractional Differential Equations with Graded Meshes

A New Predictor-Corrector Method for Solving Nonlinear Fractional Differential Equations with Graded Meshes

... numerical methods for solving non-linear fractional differential ...the predictor-corrector methods for solving the nonlinear fractional differential equation with uniform meshes and discussed ...

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Hybrid block predictor-hybrid block corrector for the solution of first-order ordinary differential equations

Hybrid block predictor-hybrid block corrector for the solution of first-order ordinary differential equations

... from predictor- corrector method to block ...the predictor-corrector method, its major setback is that the predictors are in reducing order of accuracy especially when the value of the step ...

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Five Steps Block Predictor Block Corrector Method for the Solution of y'' = f (x,y,y')

Five Steps Block Predictor Block Corrector Method for the Solution of y'' = f (x,y,y')

... multistep methods with constant step ...continuous predictor-corrector methods which are implemented in block method ...proposed methods when tested on some numerical examples performed ...

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Nordsieck representation of high order predictor-corrector Obreshkov methods and their implementation

Nordsieck representation of high order predictor-corrector Obreshkov methods and their implementation

... Abstract Predictor-corrector (PC) methods for the numerical solution of stiff ODEs can be extended to include the second derivative of the ...PC methods with the three-step second derivative ...

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A smoothing and regularization predictor corrector method for nonlinear inequalities

A smoothing and regularization predictor corrector method for nonlinear inequalities

... Abstract For a system of nonlinear inequalities, we approximate it by a family of parameterized smooth equations via a new smoothing function. We present a new smoothing and regularization ...

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Modified Efficient Families of Two and Three Step Predictor Corrector Iterative Methods for Solving Nonlinear Equations

Modified Efficient Families of Two and Three Step Predictor Corrector Iterative Methods for Solving Nonlinear Equations

... of predictor-corrector iterative methods for finding simple zeros of univariate nonlinear equations, permitting f x     0 near the ...our methods is that they perform better and moreover, ...

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A quantum interior-point predictor-corrector algorithm for linear programming

A quantum interior-point predictor-corrector algorithm for linear programming

... The first idea one may have to check whether we end up in N (1/4), is to look at lemma 3 in [30], in which [1] is based. If we analyze the details of the proof we can see that in fact the exact solution of the ...

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On Weak Predictor-Corrector Schemes for Jump-Diffusion Processes in Finance

On Weak Predictor-Corrector Schemes for Jump-Diffusion Processes in Finance

... 1 Introduction Several empirical studies indicate that the dynamics of financial quantities ex- hibit jumps, see Jorion (1988), Bates (1996), Das (2002) and Johannes (2004). Announcements by central banks, for instance, ...

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A computationally effective predictor-corrector method for simulating fractional order

A computationally effective predictor-corrector method for simulating fractional order

... C. Yang ∗ F. Liu ∗ † (Received 14 October 2005; revised 24 July 2006) Abstract Multi-order fractional differential equations are applied to frac- tional order dynamical controlled systems. The multi-order fractional ...

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A modified predictor–corrector algorithm for solving nonconvex generalized variational inequality

A modified predictor–corrector algorithm for solving nonconvex generalized variational inequality

... the predictorcorrector technique of Noor in [5], we present the modified predictorcorrector algorithm for solving the generalized variational inequality, and also prove that the convergence ...

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Global optimization using homotopy with 2-step predictor-corrector method

Global optimization using homotopy with 2-step predictor-corrector method

... iterative methods such as Newton's method, Quasi-Newton method, and Conjugate Gradient ...Heuristic methods, and Homotopy Optimization with Perturbations and Ensembles (HOPE) ...

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Enhanced predictor–corrector Mars entry guidance approach with atmospheric uncertainties

Enhanced predictor–corrector Mars entry guidance approach with atmospheric uncertainties

... the predictor-corrector technique has been first attempted to guide a Mars lander to ensure the satisfaction of the mission require- ...numerical predictor-corrector algorithm is used to ...

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