We present a sequential hierarchical least-squares programming solver with trust-region and hierarchical step-filter with application to prioritized discrete non-linear optimal control. It is based on a hierarc
Nuclear mass is an important property in both nuclear and astrophysics. In this study, we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms. The sequential least squares programming (SLSQP) algorithm augments the precision of this multinomial ...
Yu et al. [21] presented a cross-domain collaborative filtering approach for non-overlapping entities, using pattern matching to align latent factors, shift user preferences, and solve the least squares problem to achieve cross-domain recommendations for non-overlapping users and items. Chakraverty ...
3_ Programming 1_ Python Basics About Python is a high-level programming langage. I can be used in a wide range of works. Commonly used in data-science, Python has a huge set of libraries, helpful to quickly do something. Most of informatics systems already support Python, without installi...
(2016). The extreme learning machine solution is based on solving the smallest norm least-squares of linear system Huang et al. (2006), which is given by Eq. (2). Our research is driven by a hypothesis that a sequential learning algorithm employs an iterative procedure to solve linear or...
28_ Least2-fit 29_ Euclidian Distance Eucladian Distance is the most used and standard measure for the distance between two points. It is given as the square root of sum of squares of the difference between coordinates of two points. ...
This results in a least squares problem with 2p+1 inequality con- straints, as there are 2p+1 possible sign patterns ∈ {−1, 1} for the entries in the consequent parameter vector i . This can be solved through a quadratic programming approach, termed as LARS-EN, see Zou and ...
Springer, Berlin Prins C, Beltman R, ten Thije Boonkkamp J, IJzerman WL, Tukker TW (2015) A least-squares method for optimal transport using the Monge–Ampere equation. SIAM J Sci Comput 37(6):B937–B961 Ries H, Muschaweck J (2002) Tailored freeform optical surfaces. JOSA A 19(3...
The multiple segment nonsequential recording described above provides an opportunity to provide sophisticated audio programming for the user, but still retaining the user's use of creativity and the user's involvement, as is especially desirable in children's play. ...
access at least one previous frame m the sequence of frames with complete pixel information; access a motion representation indicating pixel relationships between the current frame and the previous frame; transform the previous frame according to the motion representation; access a first machine-learning...