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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 basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
basis function » loss function (Expand Search), brain function (Expand Search), barrier function (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » fc function (Expand Search), spc function (Expand Search), npc function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
basis function » loss function (Expand Search), brain function (Expand Search), barrier function (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » fc function (Expand Search), spc function (Expand Search), npc function (Expand Search)
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Python implementation from Symplectic decomposition from submatrix determinants
Published 2021“…Python implementation of the algorithm and demonstration of how to use the functions.…”
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GraSPy: an Open Source Python Package for Statistical Connectomics
Published 2019“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”
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Cost function calculated by QA with different hyperparameters.
Published 2025Subjects: “…currently available algorithms…”
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Cost function calculated by SA with different hyperparameters.
Published 2025Subjects: “…currently available algorithms…”
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Modular architecture design of PyNoetic showing all its constituent functions.
Published 2025Subjects: -
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Schematic diagram of the experimental algorithm.
Published 2025“…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”
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Linear-Scaling Local Natural Orbital CCSD(T) Approach for Open-Shell Systems: Algorithms, Benchmarks, and Large-Scale Applications
Published 2023“…This enables the accurate modeling of large systems with complex electronic structures, as illustrated on open-shell organic radicals and transition-metal complexes of up to 179 atoms as well as on challenging biochemical systems, including up to 601 atoms and 11,000 basis functions. While the protein models involve difficulties for local approximations, such as the spin states of a bounded iron ion or an extremely delocalized singly occupied orbital, the corresponding single-node LNO-CCSD(T) computations were feasible in a matter of days with 10s to 100 GB of memory use. …”
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