Functions in nhppp. by Thomas A. Trikalinos (5785877)

“…The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Supporting data of the PET image reconstruction using multi-parametric anato-functional priors by Abolfazl Mehranian (11386115)

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Comparison of transfer functions. by Qi Jiang (33521)

Radius of gyration (RG) of the backbone atoms of the protein as a function of time. by L. F. S. Bonet (11502082)

Solvent-accessible surface area (SASA) of the protein as a function of time. by L. F. S. Bonet (11502082)

The parameters of algorithms. by Le Huu Binh (18340233)

Subjects:

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

Curves of sigmoid functions used in our proposed algorithm. by Binh Thanh Dang (12368831)

“…<p>Curves of sigmoid functions used in our proposed algorithm.</p>…”

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

Knowledge graph model rating function. by Chunjuan Li (7890182)

Percentage of transcript ineligibility as a function of context size. by Tariq Daouda (8300553)

The iteration curve of the test function. by Jian Kong (164512)

“…Then the optimization parameters and scope were determined, and multi-objective optimization and direction preference algorithms were introduced. A chaotic optical performance optimization model based on improved multi-objective genetic algorithm was constructed using adaptive functions as evaluation indicators. …”

A bar chart for the values of objective function—Phase I. by Fadi K. Dib (5204807)

Subjects:

A bar chart for the number of function evaluations on the scalability dataset. by Fadi K. Dib (5204807)

Subjects:

A bar chart for the values of objective function on the scalability dataset. by Fadi K. Dib (5204807)

Subjects:

A bar chart for the number of function evaluations—Phase I. by Fadi K. Dib (5204807)

Subjects:

A bar chart for the values of objective function—Phase II. by Fadi K. Dib (5204807)

Subjects: