approximate

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approximate

[ə′präk·sə·mət (adjective) or ə′präk·sə‚māt (verb)]
(mathematics)
To obtain a result that is not exact but is near enough to the correct result for some specified purpose.
To obtain a series of results approaching the correct result.
(science and technology)
Close to the correct value. Abbreviated approx.
To be close to.
References in periodicals archive ?
Numerical Approximations of Stochastic Differential Equations With Non-Globally Lipschitz Continuous Coefficients
His topics include multivariate modulated Markov log-price processes, backward recurrence reward algorithms, the convergence of option rewards, space-skeleton reward approximations, and the convergence of tree-type reward approximations.
The irrational ratio between sampling and period is considered negligible by current algorithms to approximate periodic systems, such as Fourier Transform or polynomial approximations, but it is evident that a prediction in the long term will be influenced by any error in the approximation.
Conventional meshfree approximations such as Moving Least-Squares (MLS) approximation [10] and Reproducing Kernel (RK) approximation [11] do not satisfy the Kronecker-delta property at the boundary.
Shahzad: Banach operator pairs, common fixed points, invariant approximations, and *-nonexpansive multimaps, Nonlinear Anal.
After a brief review of cognitive algebra, generalizing its rules to a continuous framework, the concept of a Taylor series is introduced with the aim of emphasizing how additive, multiplicative and averaging models can be seen as simple approximations of a generic Response surface.
Thus, the coefficients and their approximations were designed for use under extremely restrictive assumptions--in particular, limited concavity of the utility function, and small, actuarially-neutral risks.
To compensate this weakness and enable wider frequency response, higher order approximations can be used.
2) is approximated by summing generalized Filon approximations
It discusses approximations in detail including data structures and processes to manage fast data streams in memory.
Also applications for different types of approximations are given.
Sensitivity analysis of reliability based on saddlepoint approximations has been presented in [10-11].