A Simple Error Formula for the Lunar Ephemeris of Regiomontanus

1999 ◽  
Vol 86 (5) ◽  
pp. 234-234 ◽  
Author(s):  
P. Brosche ◽  
W. Kokott
Keyword(s):  
Error Formula ◽  
Lunar Ephemeris ◽  
Simple Error

Error Compensation Techniques for Fixed-Width Array Multiplier Design — A Technical Survey

2016 ◽  
Vol 26 (03) ◽  
pp. 1730003 ◽  
Author(s):  
S. Balamurugan ◽  
P. S. Mallick
Keyword(s):  
Error Compensation ◽  
Absolute Error ◽  
Mean Square ◽  
Maximum Absolute Error ◽  
Comprehensive Review ◽  
Related Research ◽  
Error Formula ◽  
Error Metrics ◽  
Array Multiplier ◽  
Future Work

This paper provides a comprehensive review of various error compensation techniques for fixed-width multiplier design along with its applications. In this paper, we have studied different error compensation circuits and their complexities in the fixed-width multipliers. Further, we present the experimental results of error metrics, including normalized maximum absolute error [Formula: see text], normalized mean error [Formula: see text] and normalized mean-square error [Formula: see text] to evaluate the accuracy of fixed-width multipliers. This survey is intended to serve as a suitable guideline and reference for future work in fixed-width multiplier design and its related research.

Lunar ephemeris

1971 ◽  
Author(s):  
Andre Deprit ◽  
Jacques Henrard ◽  
Arnold Rom
Keyword(s):  
Lunar Ephemeris

scholarly journals B. Par Les Commissions et Sous-Commissions

1962 ◽  
Vol 11 (2) ◽  
pp. 90-90
Keyword(s):  
Lunar Ephemeris ◽  
Large Audience

Parmi les résolutions et recommandations adoptées par les Commissions et Sous-Commissions, seules sont reproduites ici celles qui présentent un vaste intérêt et s’adressent à une large audience; les autres peuvent être trouvées dans les Comptes-Rendus de réunions, auxquels nous renvoyons. Là où ils sont donnés, les numéros des résolutions sont ceux utilisés dans les Comptes- Rendus.Commission 4—voir page 167. (Voir aussi Commission 31.)2. La valeur provisoire du temps des éphémérides, obtenue en comparant la longitude moyenne de la Lune résultant d’observations rapportées à l’équinoxe du FK 4, avec les positions données par 1’Improved Lunar Ephemeris est appelée T.E.O. La différence T.E.O. — T.u.2 est appelée Δ T0.

scholarly journals EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kang-Jian Hua ◽  
Bin-Guang Ma
Keyword(s):  
Parallel Implementation ◽  
3D Structure ◽  
Software Tool ◽  
Structural Features ◽  
Bacterial Chromosome ◽  
Modeling Tools ◽  
Computing Power ◽  
Error Vector ◽  
Contact Frequency ◽  
Simple Error

Abstract Background More and more 3C/Hi-C experiments on prokaryotes have been published. However, most of the published modeling tools for chromosome 3D structures are targeting at eukaryotes. How to transform prokaryotic experimental chromosome interaction data into spatial structure models is an important task and in great need. Results We have developed a new reconstruction program for bacterial chromosome 3D structure models called EVR that exploits a simple Error-Vector Resultant (EVR) algorithm. This software tool is particularly optimized for the closed-loop structural features of prokaryotic chromosomes. The parallel implementation of the program can utilize the computing power of both multi-core CPUs and GPUs. Conclusions EVR can be used to reconstruct the bacterial 3D chromosome structure based on the contact frequency matrix derived from 3C/Hi-C experimental data quickly and precisely.

scholarly journals The Role of Occultations in the Improvement of the Lunar Ephemeris

1972 ◽  
Vol 47 ◽  
pp. 395-401
Author(s):  
L. V. Morrison
Keyword(s):  
Time Scale ◽  
The Moon ◽  
Secular Acceleration ◽  
Lunar Ephemeris ◽  
Occultation Data ◽  
Correction Terms ◽  
Empirical Constants ◽  
Atomic Time

Analyses of occultation timings show that periodic correction terms with semi-amplitude as great as 0.″18 arise from corrections required to the empirical constants of the Brown/Eckert theory. Using the atomic time-scale, some of the occultation data have been used to determine a correction of – 30 ± 16″/cy2 to Spencer Jones' value for the secular acceleration of the Moon. In the light of this correction, and previous determinations, attention is drawn to the possible weakness of Spencer Jones' value, which is not reflected in his quoted error of ± 1″/cy2. Further analyses of 50000 occultations observed since 1943 promise to reveal more accurately-determined corrections.

Error Analysis of Neural Network with Multiply Neurons Using Rational Spline Weight Functions

2015 ◽  
Vol 713-715 ◽  
pp. 1716-1720
Author(s):  
Dai Yuan Zhang ◽  
Lei Lei Wang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Error Analysis ◽  
Weight Functions ◽  
Generalization Ability ◽  
Rational Spline ◽  
Error Formula ◽  
Denominator Polynomial

In order to describe the generalization ability, this paper discusses the error analysis of neural network with multiply neurons using rational spline weight functions. We use the cubic numerator polynomial and linear denominator polynomial as the rational splines for weight functions. We derive the error formula for approximation, the results can be used to algorithms for training neural networks.

Experimental evaluation of a set of simple error detection mechanisms

1990 ◽  
Vol 30 (1-5) ◽  
pp. 513-520 ◽  
Author(s):  
Henrique Madeira ◽  
Gonçalo Quadros ◽  
João Gabriel Silva
Keyword(s):  
Error Detection ◽  
Experimental Evaluation ◽  
Simple Error ◽  
Detection Mechanisms
Sign in / Sign up

Export Citation Format

Share Document