Algorithm and simulation parameters. by Derek E. Moulton (7053563)

“…The approach is as follows: we use a Quality-Diversity algorithm, a type of black-box optimization algorithm, to explore the range of concentration profiles emerging as solutions of a molecular model, and that define growth patterns for the mechanical model. …”

Constructing the dynamical law. by Robert Marsland (8616483)

Automatic cropping algorithm. by Thomas W Georgi (12427189)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

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. …”

Visualization and balancing the cost function with the Pauli term. by Alexander Borst (32619)

Subjects:

Working steps and operating algorithm of the developed GSMCS. by Abdallah Elshawadfy Elwakeel (19852263)

The network lifetime as a function of number of sensor nodes. by Zhou He (10330007)

Delivered packets as a function of number of sensor nodes. by Zhou He (10330007)

Algorithmic Chronology of Freely Active Agents. by Robert J. Wagner (9857666)

Flowchart of the specific incarnation of the BO algorithm used in the experiments. by Lisa Laux (9367681)

“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”

Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

“…To demonstrate the increased interpretability of the EIT image through structural prior in the DCT-based approach, the DCT-based reconstructions were compared with reconstructions from a widely applied one-step Gauss-Newton solver with background prior and from the advanced GREIT algorithm. …”

3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. by Mahmood A. Jumaah (22272371)

Subjects:

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

Subjects:

Pharmacokinetics model: Schematic of the X-TFC algorithm. by Nazanin Ahmadi Daryakenari (18143871)

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

The algorithm underlying neoVM. by Tanmoy Sarkar (627505)

Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective by Xiangyang Jia (10026932)

Objective function trend with static and dynamic step size. by Ludovica Adacher (11238189)