Rational Approximants in Structural Design Reanalysis

1984 ◽  
Vol 106 (1) ◽  
pp. 114-118 ◽  
Author(s):  
J. E. Whitesell

The design of mechanical structures often involves the analysis of several candidate designs before a final selection is made. To avoid the high cost of repetitive analysis, rapid reanalysis methods based on power series expansions have been proposed. While these methods can be effective for small design changes, for larger changes poor convergence or divergence can occur. In this paper a reanalysis method based on rational approximants is presented. The method exploits the superior convergence behavior of rational approximants to gain a substantial improvement in convergence and accuracy. The method is applied to reanalysis problems involving linear equations and eigenproblems and is illustrated through representative examples.

2021 ◽  
Vol 5 (2) ◽  
pp. 5-11
Author(s):  
Zeng GL ◽  
Li Y

A unique feature of medical imaging is that the object to be imaged has a compact support. In mathematics, the Fourier transform of a function that has a compact support is an entire function. In theory, an entire function can be uniquely determined by its values in a small region, using, for example, power series expansions. Power series expansions require evaluation of all orders of derivatives of a function, which is an imposable task if the function is discretely sampled. In this paper, we propose an alternative method to perform analytic continuation of an entire function, by using the Nyquist–Shannon sampling theorem. The proposed method involves solving a system of linear equations and does not require evaluation of derivatives of the function. Noiseless data computer simulations are presented. Analytic continuation turns out to be extremely ill-conditioned.


2021 ◽  
Vol 40 (2) ◽  
pp. 59-64
Author(s):  
Jan Verschelde

Hardware double precision is often insufficient to solve large scientific problems accurately. Computing in higher precision defined by software causes significant computational overhead. The application of parallel algorithms compensates for this overhead. Newton's method to develop power series expansions of algebraic space curves is the use case for this application.


1987 ◽  
Vol 24 (2) ◽  
pp. 540-546 ◽  
Author(s):  
J. P. C. Blanc

Numerical data are presented concerning the mean and the standard deviation of the waiting-time distribution for multiserver systems with queues in parallel, in which customers choose one of the shortest queues upon arrival. Moreover, a new numerical method is outlined for calculating state probabilities and moments of queue-length distributions. This method is based on power series expansions and recursion. It is applicable to many systems with more than one waiting line.


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