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Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...
SciELO

Multi-Objective Task Scheduling for Earth Observation InSAR Satellites via Non-Dominated Sorting Student Psychology Based Optimization Algorithm

This paper investigates the task scheduling problem for the Earth observation Interferometric Synthetic Aperture Radar (InSAR) satellite system. The mission time window generation method is introduced ...
Symmetry Magazine

The algorithms that help scientists sort through a universe of change

Astronomers use brokers to identify which signals to pursue in an endless stream of alerts. Looking up at the stars at night, it may not be obvious that the universe is constantly changing. But it is: ...
C&EN

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

CJ Blossom Park, CJ BIO Research Institute, 55, Gwanggyo-ro 42beon-gil, Yeongtong-gu, Suwon-Si, Gyeonggi-do 16495, Republic of Korea ...
GitHub

gabriel-ribeiro-data/Sorting-Algorithms-Time-Analysis

This project consists of developing a software application using the Java programming language, focused on analyzing the performance of sorting algorithms. The main objective is to compare the ...
IEEE

Comparative of Advanced Sorting Algorithms (Quick Sort, Heap Sort, Merge Sort, Intro Sort, Radix Sort) Based on Time and Memory Usage

Abstract: Every algorithm has its own best-case as well as its worst-case scenario, so it is difficult to determine the best sorting algorithm just by its Big-O. Not only that, the amount of memory ...
GitHub

counting-sort

Which sorting algorithm grows faster with the time complex data size or the space complex grows faster. In this project, we compared the time and space complexities of counting_sort, heap_sort, ...