Abstract: Given a multiset of n positive integers and a target sum S, the subset sum problem is to find a subset such that the sum of its elements is as close as possible to S without exceeding S. We ...

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 ...

SubsetSumSolver is a high-performance C++ tool for solving the Subset Sum Problem. It features multiple algorithms, benchmarking capabilities, and the ability to save results to a PostgreSQL database.

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...

ABSTRACT: Soil-water characteristic curve (SWCC) is significant to estimate the site-specific unsaturated soil properties (such as unsaturated shear strength and coefficient of permeability) for ...

In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three ...

ABSTRACT: Grover’s algorithm is a category of quantum algorithms that can be applied to many problems through the exploitation of quantum parallelism. The Amplitude Amplification in Grover’s algorithm ...

A Python Implemented Cryptographic Algorithm Which Utilizes Public, Private Key Cryptography to Provide Congruent Super-Increasing Sets for Encryption of Data. This Algorithm relies on the SUBSET-SUM ...