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Data Representation
Published in Alexandru Telea, Data Visualization, 2014
In Listing 3.7, we store the 2D grid point x- and y-coordinates in float arrays and implemented using the Standard Template Library (STL) class . Here and in the following, we omit the namespace qualification for brevity. In actual code, either prefix all STL symbols with this namespace (e.g., write ) or specify in every file before making use of these symbols. STL provides a versatile and expressive set of programming building blocks, such as basic data containers and algorithms. Using STL to implement the various aspects of datasets massively simplifies the overall implementation and reduces the code size and the chance for errors such as memory leaks. Moreover, recent STL implementations are carefully optimized for memory and speed, so using STL containers incurs a negligible overhead as compared to classical arrays, for example.
S
Published in Phillip A. Laplante, Dictionary of Computer Science, Engineering, and Technology, 2017
Standard Template Library (STL) a library of classes and methods defined for the C++ language as a set of templates (generic classes and methods). These classes and methods simplify the use of C++ by providing a standardized and unified set of facilities such as iterators, enumerators, and more to C++ programmers.
Comprehensive survey on analysis and modelling of femur bone fracture for an operative planning
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023
Aashish Joshi, Kailash Karande
Chen et al. (2018) have suggested a system to detect subtype of femur cavity for identifying difficulties in IM Nail implantation by combining morphological features of Femur model. They have produced a model utilising Mimics programming. Each recreated model was then traded in the Standard Template Library design and arranged for the removal of femur-depression morphological features. In clinical medical procedure of femoral fractures, six morphological features mirroring the anatomical data of the femur cavity are straightforwardly broke down to gauge confuses between the chose IM nail and patient femur. Highlights are Radius of fitted circle, banking angle, minimum breadth, distance 1, distance 2 and Bow. After include extraction, they utilised a thickness top based k methods grouping calculation to naturally separate the morphological-features dataset, containing 422 sample femurs into a clustered in to distinct subtypes. This paper typically not only focusing Implant design but also useful to guide orthopaedic surgeon.
Efficient Priority-Flood depression filling in raster digital elevation models
Published in International Journal of Digital Earth, 2019
Hongqiang Wei, Guiyun Zhou, Suhua Fu
In this section, we compare the performances of the Zhou variant and our proposed variant. Our proposed variant is implemented in C++. As in Barnes, Lehman, and Mulla (2014) and Zhou, Sun, and Fu (2016), we use the C++ standard template library's implementation of the PQ. Doing so helps ensure the correctness and accessibility of our implementation, in addition to simplifying the programing. The source code is made available for downloading at GitHub (https://github.com/zhouguiyun-uestc/Depression-Filling) The same test dataset as used in Zhou, Sun, and Fu (2016), the LiDAR-based DEMS of 30 counties in the state of Minnesota, USA, are used for the comparison of the two variants. The average number of cells in the DEMs is around 3.96 × 108 cells. The dimensions and NODATA percentage of all DEMs can be found in Zhou, Sun, and Fu (2016). The experiments are conducted on a 64-bit Windows 7 with an Intel Core i7-6700k 4.0 GHz processor and 16GB RAM. Both the source codes of the Zhou variant and our proposed variant are compiled with the same optimization options. The index threshold in our proposed variant is set to be 2 in all experiments. The depression-filled DEMs of each county by both variants are identical.
Multi-objective optimisation of a container ship lashing bridge using knowledge-based engineering
Published in Ships and Offshore Structures, 2019
A method is propsed for the design and optimisation of containership’s lashing bridge in this paper based on KBE. The structural design and optimisation is conducted in a quick and accurate way by the use of knowledge base, standard template library, graphics template library, intelligent design method and multi-objective optimisation theory. The knowledge base system not only provides support to designers but also reduces their dependence on knowledge and experience. The parametric model and the mathematical optimisation model are converted mutually. A suitable approximate model is established through different optimisation methods. The proposed method ensures a reasonable performance and the lightest weight.