approximation


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Related to approximation: joint approximation, Approximation algorithms

approximation

 [ah-prok″sĭ-ma´shun]
1. the act or process of bringing into proximity or apposition.
2. a numerical value of limited accuracy.
successive approximation shaping.

ap·prox·i·ma·tion

(ă-prok'si-mā'shŭn),
In surgery, bringing tissue edges into desired apposition for suturing.

approximation

/ap·prox·i·ma·tion/ (ah-prok″sĭ-ma´shun)
1. the act or process of bringing into proximity or apposition.
2. a numerical value of limited accuracy.

ap·prox·i·ma·tion

(ă-prok'si-mā'shŭn)
In surgery, bringing tissue edges into desired apposition for suturing.

approximation

surgical apposition of wound edges in preparation for suture insertion

approximation,

n a massage technique in which muscle fibers are pressed together along the direction of the fibers in order to relieve cramping.

approximation

1. the act or process of bringing into proximity or apposition.
2. a numerical value of limited accuracy.

normal approximation
approximation of the actual distribution of a variable by a normal distribution.
References in periodicals archive ?
A crown is added for the fourth level of approximation, with the clamped boundary condition imposed near the center of the crown.
Approximation of One Variable of New Type Bernstein Polynomials
Narang: Common fixed points of nonexpansive mappings with applications to best and best simultaneous approximation, J.
Suppose that the Successive Approximation Method (3) is convergent.
A Pade rational approximation to f(x) on [a,b] is the quotient of two polynomials [P.
We will see, that the eccentricity of the lattice plays an important role in approximation quality and that lattices that exceed a certain density are not suitable.
Convergence properties of the approximation formulas will be obtained.
To achieve the better performance of the system for progressive transmission of the vector maps over the Internet, we offer to use the optimal methods for polygonal approximation with multiresolution quantization and entropy encoding of the quantized data.
The second column of Table 3 lists values of this approximation for a wide range of values of n from as little as 40 to a maximum of 8000.
Simplified improved Gaussian approximation requires the evaluation of [mu] and variance [[sigma].