Moon Duchin on the ‘Mathematical Quagmire’ of Gerrymandering

Two decades ago, the mathematician Moon Duchin spent her summers teaching geometry at Mathcamp, a program for mathematically talented teens. Campers contemplated notions such as how to prove whether a ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
IEEE

Ring Theory-based Evolutionary Algorithm with Repair-Optimization Algorithm for Solving the Unbouned Knapsack Problem

Abstract: The Unbounded Knapsack Problem (UKP), as an important extension of the classical 0-1 knapsack problem, is an NP-hard combinatorial optimization problem characterized by its allowance for ...
IEEE

Actuarial Risk Assessment and Pricing Optimization Algorithm Based on Graph Neural Network

Abstract: In this study, we proposed a new method combining graph sampling aggregation network (GraphSAGE), Contrastive Learning (CL) and Bayesian Optimization. First, GraphSAGE was used to model the ...
GitHub

Data-Structures-and-Algorithms-with-Java

This is a compilation of basic to advanced data structures, graph theory algorithms, dynamic programming, recursion, sorting, searching, and even string algorithms ...
C&EN

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital ...

Department of Chemistry, University of California, Berkeley, California 94720, United States ...