algorithm of the same rate for the center of each query region to expand a point at a minimum distance each time; step 3, calculating the upper bound and lower bound of a spatial density, and updating LB and UB; step 4, determining whether LB is greater than UB or whether search radii...
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This is a sampling algorithm aiming to achieve near-uniform sampling of high dimentional data sets The sampling algorithm is an iterative process based on Nearest Neighbour search. In each iteration, the dataset is normalized with the standard scaler (mean = 0, standard deviation = 1) and a ne...
Algorithm 8.5 Uniform sampling. Sign in to download full-size image Sign in to download full-size image Fig. 8.3. Sample roadmap produced by a uniform sampler. 8.3.2 Obstacle-based sampling The problem with the uniform sampling is that the search happens in the entire free configuration space...
This work describes a novel algorithm for symbolic regression, namely symbolic regression by uniform random global search (SRURGS). SRURGS has only one tuning parameter and is very simple conceptually. The method produces random equations, which is useful for the generation of symbolic regression ben...
Abstract We give a uniform description of the bijectionΦfrom rigged configurations to tensor products of Kirillov–Reshetikhin crystals of the form⨂i=1NBri,1in dual untwisted types: simply-laced types and typesA2n−1(2),Dn+1(2),E6(2), andD4(3). We give a uniform proof thatΦis...
(having more than one CPU chips, each with its own integrated memory controller) is NUMA architecture. However, getting respective parallel performance from such machines depends strongly on the algorithm and the program design. Infact, multicore CPUs are appearing to be the one on which the ...
Limited-Damage A*: A path search algorithm that considers damage as a feasibility criterion. Knowledge-Based Systems , 2011 , 24(4): 501 -512 Google Scholar [6] BANSAL J C, GOPAL A, and NAGAR A K. Stability analysis of Artificial Bee Colony optimization algorithm. Swarm and Evolut...
The Matlab fminsearch function is used and introduces the function to be minimized and the seed value used to begin the iteration. The function returns the positions of the first three joints that minimize the error and has the following format: 𝐪𝟏𝟑𝐜=𝑓𝑚𝑖𝑛𝑠𝑒𝑎𝑟...
The researchers used an optimization algorithm to select the local properties and fit targeted deformations (Fig. 7d). Recently, they have followed a similar approach for extruded, planar microstructures made with tileable, nearly rhombic cells [144]. When approximating arbitrary shapes, this type of...