Asynchronous iterative algorithms have emerged as a robust alternative to traditional synchronous methods for solving large-scale linear systems. These approaches allow individual computational units ...

Abstract: In this paper, an iterative mixed integer linear programming (MILP) algorithm based on the traditional MILP algorithm is proposed to realize the multi-task assignment of unmanned aerial ...

Abstract: In this article, a multidirection-based gradient iterative (GI) algorithm for Hammerstein systems with irregular sampling data is proposed. The algorithm updates the parameter estimates ...

The bandit slippery walk problem is a reinforcement learning problem in which an agent must learn to navigate a 7-state environment in order to reach a goal state. The environment is slippery, so the ...

Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency details but ...

Some inventions operate in a recursive or iterative manner. This could be so of a machine that repeats actions or functions on a single article or to produce multiple articles, or operates on data.

To implement the Value Iteration algorithm and compute the optimal value function and optimal deterministic policy for a given finite Markov Decision Process (MDP). Evaluate the learned policy by ...

This is a preview. Log in through your library . Abstract In this paper, we propose a new modified proximal point algorithm involving fixed point iteration for nonexpansive mappings in CAT(1) spaces.