Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
basis functions » basis function (Expand Search), loss functions (Expand Search), based functional (Expand Search)
python function » protein 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)
algorithm basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
basis functions » basis function (Expand Search), loss functions (Expand Search), based functional (Expand Search)
python function » protein 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)
-
121
-
122
-
123
-
124
-
125
-
126
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. …”
-
127
-
128
-
129
Results of the application of different clustering algorithms to average functional connectivity from healthy subjects.
Published 2023“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”
-
130
-
131
-
132
-
133
The iteration curve of the test function.
Published 2024“…The directional preference algorithm could further provide more valuable solutions on the basis of adaptive genetic algorithms. …”
-
134
-
135
-
136
-
137
-
138
Python implementation from Symplectic decomposition from submatrix determinants
Published 2021“…Python implementation of the algorithm and demonstration of how to use the functions.…”
-
139
GraSPy: an Open Source Python Package for Statistical Connectomics
Published 2019“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”
-
140
Cost function calculated by QA with different hyperparameters.
Published 2025Subjects: “…currently available algorithms…”