Recursive calculation of hansen coefficients

1990 ◽  
Vol 49 (2) ◽  
pp. 209-217 ◽  
Author(s):  
Richard L. Branham
Keyword(s):  
Hansen Coefficients ◽  
Recursive Calculation

scholarly journals Recursive calculation of curved finite elements stiffness matrices

1984 ◽  
Vol 10 (4-5) ◽  
pp. 387-397 ◽  
Author(s):  
M.L. Baart ◽  
R.J.Y. McLeod
Keyword(s):  
Finite Elements ◽  
Stiffness Matrices ◽  
Recursive Calculation

scholarly journals Some Symmetric Identities Involving Fubini Polynomials and Euler Numbers

Symmetry ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 303 ◽  
Author(s):  
Zhao Jianhong ◽  
Chen Zhuoyu
Keyword(s):  
Calculation Method ◽  
Computational Formula ◽  
Euler Numbers ◽  
Special Sequence ◽  
Computational Problem ◽  
Elementary Methods ◽  
Symmetric Identities ◽  
Recursive Calculation

The aim of this paper is to use elementary methods and the recursive properties of a special sequence to study the computational problem of one kind symmetric sums involving Fubini polynomials and Euler numbers, and give an interesting computational formula for it. At the same time, we also give a recursive calculation method for the general case.

Decoding Neural Spike Trains: Calculating the Probability That a Spike Train and an External Signal Are Related

2002 ◽  
Vol 87 (3) ◽  
pp. 1659-1663 ◽  
Author(s):  
Terence D. Sanger
Keyword(s):  
Spike Train ◽  
Cell Activity ◽  
Simulated Data ◽  
External Signal ◽  
Time Varying ◽  
Neural Firing ◽  
Sensory Stimuli ◽  
Correlation Methods ◽  
A Cell ◽  
Recursive Calculation

Experimental and clinical applications of extracellular recordings of spiking cell activity frequently are used to relate the activity of a cell to externally measurable signals such as surface potentials, sensory stimuli, or movement measurements. When the external signal is time-varying, correlation methods have traditionally been used to quantify the degree of relation with the neural firing. However, in some circumstances correlation methods can give misleading results. A new algorithm is described that estimates the extent to which a spike train is related to a continuous time-varying signal. The technique calculates the probability of generating a spike train with Poisson statistics if the time-varying signal determines the Poisson rate. This is accomplished by successive division of the signal and the spike train into halves and recursive calculation of the probability of each half-signal. The performance of the new algorithm is compared with the performance of correlation methods on simulated data.

scholarly journals Recursive Calculation of Survival Probabilities

1991 ◽  
Vol 21 (2) ◽  
pp. 199-221 ◽  
Author(s):  
David C. M. Dickson ◽  
Howard R. Waters
Keyword(s):  
Finite Time ◽  
Approximate Calculation ◽  
Risk Model ◽  
Classical Risk Model ◽  
Infinite Time ◽  
Numerical Examples ◽  
Survival Probabilities ◽  
Recursive Calculation ◽  
The Stability ◽  
The Classical Risk Model

AbstractIn this paper we present an algorithm for the approximate calculation of finite time survival probabilities for the classical risk model. We also show how this algorithm can be applied to the calculation of infinite time survival probabilities. Numerical examples are given and the stability of the algorithms is discussed.

scholarly journals Open-Ended Recursive Calculation of Single Residues of Response Functions for Perturbation-Dependent Basis Sets

2015 ◽  
Vol 11 (10) ◽  
pp. 4814-4824 ◽  
Author(s):  
Daniel H. Friese ◽  
Magnus Ringholm ◽  
Bin Gao ◽  
Kenneth Ruud
Keyword(s):  
Basis Sets ◽  
Response Functions ◽  
Recursive Calculation

Recursive calculation of axially symmetric stationary Einstein fields

1980 ◽  
Vol 13 (5) ◽  
pp. 1737-1740 ◽  
Author(s):  
G Neugebauer
Keyword(s):  
Axially Symmetric ◽  
Recursive Calculation

Analytic properties of Hansen coefficients

2008 ◽  
Vol 100 (4) ◽  
pp. 287-300 ◽  
Author(s):  
Sergey Yu. Sadov
Keyword(s):  
Hansen Coefficients
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