On the basis of introducing the Fibonacci computing in computer algebra system of Maple. Firstly,we described a fast computing algorithm of large Fibonacci number. Furthermore,by using Lucas series instead of Fibonacci series,we put forward the advanced Fibonacci searching method applied in optimization theory.
Secondly, we propose a corrected Randomized Insertion Algorithm for Delaunay Triangulation and a speedily computing algorithm of grid\|index which may increase efficiency.
We studied the realization of the optimization mapping of the wavefront computing algorithm from the representive layer to the architecture layer. Two SIMD based parallel algorithms, the doubling algorithm and the partitioning algorithm are proposed according to the existing parallel computing theory.
For the task scheduling strategy, the Min-min algorithm is modified and the Trust-Min-min which enhances the validity of grid computing algorithm is proposed.
Consideration is given to the working principle of the primary transducer, as the chief unit in the device, and to a computing algorithm for calculating the essential arterial pressure parameters as a systole and diastole in a digital artery.
A computing algorithm, based on the geometry of certain reachable sets, is presented for fixed terminal time optimal regular problems having differential equations
The separation of water(up to 0.5m%)and components lighter than n- pentane from crude oil by distillation method is a newly developed technique of crude oil stabilization.The light hydrocarbon fraction recovered is used as the feed to the ethylene plant located close to the oil field. This stabilizer has some characteristic features distinct from conventional fractionating columns:(1)The feed has a very wide boiling point range,(2) Water-rich phase is formed in rectifying section,and results a three-phase d...
Fuzzy set theory is adopted in a new neural computing algorithm-fuzzy neural' computing. It has been proved that the new algorithm gets rid of two fatal defects facing most of the existing neural computing algorithms, known as the slow training speed and network parameter sensibility. It is well suited to general pattern classification tasks. Application to the partitioning of electrical circuits show that Fuzzy neural computing is superior to the Kohonen's self-org...
Statistical inference under order restrictions is an important area of statistical analysis and isotonic regression theory plays a key role in this field. This paper introduoes the statistical model from an example and discusses emphatically the properties and the computing algorithm of the isotonic regression. The relationship between the maximum likelihood estimate and the isotonic regression, the multiple and the general isotonic regression are also written in this papar.