This repository contains open research for "Dynamic Optimization and Latency Management in Autonomous and Real-Time Systems." The framework explores cutting-edge strategies to manage and optimize algorithmic and computational latency in high-performance, real-time systems, such as autonomous vehicles and cloud task systems.
Mathematical Rigor: The mathematical expressions are useful, but some sections lack sufficient explanation. For example, while the definition of algorithmic and computational latency is helpful, further clarification or examples showing how these latencies manifest in AV systems would improve comprehension. Additionally, complex mathematical concepts, such as the critical path in AV systems (Chapter 2), are introduced without a detailed example or real-world case study to ground the reader.
Mathematical Rigor: The mathematical expressions are useful, but some sections lack sufficient explanation. For example, while the definition of algorithmic and computational latency is helpful, further clarification or examples showing how these latencies manifest in AV systems would improve comprehension. Additionally, complex mathematical concepts, such as the critical path in AV systems (Chapter 2), are introduced without a detailed example or real-world case study to ground the reader.