Eratosthenes: Significant Digits and Interval Arithmetic

1998 ◽  
pp. 37-53
Author(s):  
Joseph L. Zachary
Keyword(s):  
Interval Arithmetic

Analysis of power pattern in CLAS with the material thickness and properties error through interval arithmetic

2017 ◽  
Vol 11 (10) ◽  
pp. 1354-1362 ◽  
Author(s):  
Peng Li ◽  
Witold Pedrycz ◽  
Wanye Xu ◽  
Li‐Wei Song
Keyword(s):  
Interval Arithmetic ◽  
Material Thickness ◽  
Power Pattern

An interval arithmetic method for global optimization

Computing ◽  
1979 ◽  
Vol 23 (1) ◽  
pp. 85-97 ◽  
Author(s):  
K. Ichida ◽  
Y. Fujii
Keyword(s):  
Global Optimization ◽  
Interval Arithmetic ◽  
Arithmetic Method

scholarly journals The design of the Boost interval arithmetic library

2006 ◽  
Vol 351 (1) ◽  
pp. 111-118 ◽  
Author(s):  
Hervé Brönnimann ◽  
Guillaume Melquiond ◽  
Sylvain Pion
Keyword(s):  
Interval Arithmetic

Quadratic convergence in interval arithmetic, part II

1972 ◽  
Vol 12 (3) ◽  
pp. 291-298 ◽  
Author(s):  
Webb Miller
Keyword(s):  
Interval Arithmetic ◽  
Quadratic Convergence

scholarly journals Vibration-based damage detection with uncertainty quantification by structural identification using nonlinear constraint satisfaction with interval arithmetic

2018 ◽  
Vol 18 (5-6) ◽  
pp. 1569-1589 ◽  
Author(s):  
Timothy Kernicky ◽  
Matthew Whelan ◽  
Ehab Al-Shaer
Keyword(s):  
Constraint Satisfaction ◽  
Interval Arithmetic ◽  
Model Updating ◽  
Structural Identification ◽  
Inverse Eigenvalue Problem ◽  
Degree Of Freedom ◽  
Nonlinear Constraint ◽  
Complete Set ◽  
Feasible Solutions ◽  
Interval Hull

Structural identification has received increased attention over recent years for performance-based structural assessment and health monitoring. Recently, an approach for formulating the finite element model updating problem as a constraint satisfaction problem has been developed. In contrast to widely used probabilistic model updating through Bayesian inference methods, the technique naturally accounts for measurement and modeling errors through the use of interval arithmetic to determine the set of all feasible solutions to the partially described and incompletely measured inverse eigenvalue problem. This article presents extensions of the constraint satisfaction approach permitting the application to larger multiple degree-of-freedom system models. To accommodate for the drastic increase in the dimensionality of the inverse problem, the extended methodology replaces computation of the complete set of solutions with an approach that contracts the initial search space to the interval hull, which encompasses the complete set of feasible solutions with a single interval vector solution. The capabilities are demonstrated using vibration data acquired through hybrid simulation of a 45-degree-of-freedom planar truss, where a two-bar specimen with bolted connections representing a single member of the truss serves as the experimental substructure. Structural identification is performed using data acquired with the undamaged experimental member as well as over a number of damage scenarios with progressively increased severity developed by exceeding a limit-state capacity of the member. Interval hull solutions obtained through application of the nonlinear constraint satisfaction methodology demonstrate the capability to correctly identify and quantify the extent of the damage in the truss while incorporating measurement uncertainties in the parameter identification.

Quality control of valve push rods using interval arithmetic

1999 ◽  
Vol 32 (2) ◽  
pp. 409-412
Author(s):  
Bernd Tibken ◽  
Eberhard P. Hofer ◽  
Werner Seibold
Keyword(s):  
Quality Control ◽  
Interval Arithmetic
Sign in / Sign up

Export Citation Format

Share Document