An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

“…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b>⁰ (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …”

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …”

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

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Summary of recent and state-of-the-art optimization algorithms. by Mahmood A. Jumaah (22272371)

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Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

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Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

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Reward function related parameters. by Honglei Pang (22693724)

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State Preparation in Quantum Algorithms for Fragment-Based Quantum Chemistry by Ruhee D’Cunha (8921372)

“…State preparation for quantum algorithms is crucial for achieving high accuracy in quantum chemistry and competing with classical algorithms. …”

Flowchart of step() function. by Raed Alharthi (18340157)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<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. …”

Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

“…To efficiently optimize BSR objective functions in g-LBFGS step, the objective function is changed in each subprocess as shown.…”

Algorithm operation steps. by Junyan Wang (4738518)

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Step by step comparison of enrichment algorithms. by Nicholas Markarian (18251668)

Corresponding Markov Chain Model representing the probability of quantum state transition over an infinitesimal time step. by Nicholas H. Vitale (20469289)

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Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

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Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

“…The edge lengths represent the cost of the edge according to the Scelestial’s cost function (see Section 3.5.5). In step 2 an example of a subset of sequences for <i>K</i> is highlighted in the picture. …”

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)