Siou loss function calculation diagram. by Weiyu Han (3448742)

Cobalt-Complexed Acetylenic Tetrads, a Molecular Scaffold for Quadruple Ionic Functionalization Reactions by Gagik G. Melikyan (1532986)

“…A synthetic algorithm included the entry of a given nucleophile to both termini of the acetylenic tetrad <b>A</b> (α-Nu¹-α′-Nu¹; α-Nu²-α′-Nu²), or a pair of select nucleophiles arranged unsymmetrically in opposing sequences (α-Nu¹-α′-Nu²; α-Nu²-α′-Nu¹). …”

Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) by L. D. Marks (1949689)

“…Density functional theory calculations use a significant fraction of current supercomputing time. …”

MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins by Martin J. Fossat (3714079)

“…While it is often convenient to assume that these residues follow their model-compound p<i>K</i>_a values, recent work has shown that local charge effects (charge regulation) can upshift or downshift side chain p<i>K</i>_a values with major consequences for molecular function. …”

Comparison of algorithms in two cases. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76]. by Daniela Huppenkothen (9174507)

“…<p>We explore the behaviour of the baseline algorithm both in terms of whether it can recover maximally diverse cohorts (upper four panels), and whether it can recover imbalanced cohorts. …”

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . …”

Flowchart of simple ant colony algorithm. by Yang Yu (4292)

“…This algorithm provides both a primary routing path and an alternate routing path for service transmission, ensuring the delivery of high-priority services even when both the primary and standby paths are unavailable. …”

Objective function for pressure control system. by Fazal E. Nasir (14992506)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Spatial properties of RFs generated by thresholding algorithms and in macaques’ V1 and V2. by Ilias Rentzeperis (10215602)

Analytic Gradients for Density Fitting MP2 Using Natural Auxiliary Functions by Klára Petrov (19251734)

“…Here, for the first time, we discuss the theory of analytic derivatives for correlation methods employing the NAF approximation on the example of MP2. A detailed algorithm for the gradient calculation with the NAF approximation is proposed in the framework of the method of Lagrange multipliers. …”

Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. by Adam L. Tyson (10892822)

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

Bayesian-frequentist Hybrid Inference in Applications with Small Sample Sizes by Gang Han (127634)

“…However, except for few special cases in existing literature, the computation under the hybrid model is generally non-trivial or even unsolvable. This paper develops a computation algorithm for hybrid inference under any general loss functions. …”

Fitness function curve at weight factor 0.3. by Dhulfiqar Hakeem Dhayef (17729684)

“…Therefore, it has been widely solved using effective meta-heuristics. The paper introduces a novel meta-heuristic strategy that utilizes the Genetic Algorithm (GA) and the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) to identify the most favorable solution for both flexible CF and machine layout within each cell. …”

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)