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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
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algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
which function » beach function (Expand Search)
algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
fc function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic
Published 2019“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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Flowchart of DAPF-RRT algorithm.
Published 2025“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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Performance comparison of different algorithms.
Published 2025“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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The ALO algorithm optimization flowchart.
Published 2024“…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …”
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The IALO algorithm solution flowchart.
Published 2024“…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …”
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Benchmarking functions.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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Efficient algorithms to discover alterations with complementary functional association in cancer
Published 2019“…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”
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An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions
Published 2021“…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. …”
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Function convergence curve.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”