scholarly journals The Gradient and the Hessian of the Distance between Point and Triangle in 3D

Algorithms ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 104 ◽  
Author(s):  
Igor Gribanov ◽  
Rocky Taylor ◽  
Robert Sarracino

Computation of the distance between point and triangle in 3D is a common task in numerical analysis. The input values of the algorithm are coordinates of three points of the triangle and one point from which the distance is determined. An existing algorithm is extended to compute the gradient and the Hessian of that distance with respect to coordinates of involved points. Derivation of exact expressions for gradient and Hessian is presented, and numerical accuracy is evaluated for various cases. The algorithm has O(1) time and space complexity. The included open-source code may be used in applications where derivatives of point-triangle distance are required.

2017 ◽  
Author(s):  
George H. Shaw ◽  
◽  
Howard D. Mooers ◽  
Josef Smrz ◽  
Zdenek Papez ◽  
...  

Author(s):  
Michael Nones ◽  
Alessio Pugliese ◽  
Alessio Domeneghetti ◽  
Massimo Guerrero

2010 ◽  
Author(s):  
Martin Fenner

Four weeks ago I wrote about the Beyond the PDF workshop that is planned for January in San Diego. The goal of the workshop is to identify a set of requirements, and a group of willing participants to develop open source code to accelerate scientific knowledge sharing. ...


Author(s):  
Bashar Shahir Ahmed ◽  
Mohammed Al-Sarem ◽  
Mohamed Larbi Ben Maati

This chapter has discussed the technical aspects of the electronic customer relationship management intelligence (E-CRM). The paper has mainly focused on the technological development, as well as, IT implementation of the E-CRM intelligence. Different engines of E-CRM together with the recent technological trends have also been included in the discussion. Towards the end the paper has provided a simple open source code that has been used to develop CRM related applications. The code is intended to illustrate the E-CRM idea and also the results. The paper can be found useful in analyzing technical reviews on electronic customer relationship management.


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