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» Interval Methods: An Introduction
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CNSR
2009
IEEE
108views Communications» more  CNSR 2009»
15 years 1 months ago
A New Adaptive Prediction-Based Tracking Scheme for Wireless Sensor Networks
The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this inc...
Hadi Jamali Rad, Bahman Abolhassani, Mohammad Abdi...
RC
2002
72views more  RC 2002»
14 years 9 months ago
Symbolic Preconditioning with Taylor Models: Some Examples
Deterministic global optimization with interval analysis involves - using interval enclosures for ranges of the constraints, objective, and gradient to reject infeasible regions, r...
R. Baker Kearfott, G. William Walster
AMC
2008
92views more  AMC 2008»
14 years 9 months ago
Explicit multi-step peer methods for special second-order differential equations
The construction of s-stage explicit two- and three-step peer methods of order p = 2s and p = 3s is considered for the solution of non-stiff second order initial value problems wh...
Stefan Jebens, Rüdiger Weiner, Helmut Podhais...
WSC
1997
14 years 11 months ago
Comparison of Monte Carlo and Deterministic Methods for Non-Adaptive Optimization
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
Hisham A. Al-Mharmah, James M. Calvin
MOC
1998
89views more  MOC 1998»
14 years 9 months ago
Approximation of continuous time stochastic processes by a local linearization method
This paper investigates the rate of convergence of an alternative approximation method for stochastic differential equations. The rates of convergence of the one-step and multi-st...
Isao Shoji