Abstract: This study addresses the optimal control problem for discrete-time nonlinear systems with fixed initial state. A fast policy iteration $(\text{PI})$ algorithm is developed to compute the ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Abstract: A dynamic programming algorithm is applied to the genetic algorithm feature selection program to reduce the training time. After each generation, an accuracy score of each genome in a ...

I would like to propose the creation of a new section on Dynamic Dynamic Programming (DDP). This advanced technique is crucial for solving tree problems where the tree structure or node values are ...

This repo is an open source collection and playground of algorithms, data structures, coding exercises and related documentation to brush up your knowledge of computer science fundamentals.

Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...

Glucopilot dynamic dosing algorithm improved glycemia management, especially among patients with diabetic ketoacidosis, sepsis, and steroid use. SAN FRANCISCO — Using patient-specific data, the ...

Credit: Getty Images Researchers conducted a retrospective analysis to assess hypoglycemia rates among patients receiving IV insulin through a dynamic dosing algorithm. Glucopilot dynamic dosing ...