TICER渐近误差估计理论数据集

本数据集包含2019-2020年期间研究RC网络约简方法TICER(时间平衡常数约简法)的全部数据成果。TICER是工业界广泛应用的一种RC网络约简方法，算法简单而有效。但学界对这种方法理论上的研究不够深入和彻底。本研究基于精心建立起来的一个图不等式，对TICER的渐近误差给出了严格分析，证明了其一阶渐近收敛性。进一步基于该理论和算法，提出了一个改进TICER方法。本研究对应项目研究内容4“发展电路优化和成品率分析方法”，完成考核指标3.1“算法效率”部分“优化算法的计算效率提升5倍”。数据集中的文件夹“2019YFA0709602-005-TICER渐近误差估计理论数据集”包含了如下几个部分：①Matlab算法代码；②仿真图片；③算法对应论文；④数据文件；⑤数据说明文档。本数据集对进一步优化TICER方法在RC网络约简中的应用具有重要的参考价值。总数据量约0.7MB。

This dataset contains all the research data achievements on the RC network reduction method TICER (Time Constant Reduction Method) during 2019-2020. TICER is a widely used RC network reduction method in industry, featuring simple and effective algorithm. However, its theoretical research in academic circles is not in-depth and thorough enough. Based on a carefully established graph inequality, this study conducted a rigorous analysis of the asymptotic error of TICER and proved its first-order asymptotic convergence. Furthermore, an improved TICER method was proposed based on this theory and algorithm. This study corresponds to research content 4 "Development of Circuit Optimization and Yield Analysis Methods" of the project, and completed the requirement of "improving the computational efficiency of optimization algorithms by 5 times" in assessment indicator 3.1 "Algorithm Efficiency". The folder "2019YFA0709602-005-TICER Asymptotic Error Estimation Theory Dataset" in this dataset includes the following components: ① Matlab algorithm code; ② Simulation images; ③ Corresponding academic papers of the algorithm; ④ Data files; ⑤ Data description documents. This dataset has important reference value for further optimizing the application of TICER method in RC network reduction. The total data volume is approximately 0.7 MB.

搜集汇总

背景与挑战

背景概述

TICER渐近误差估计理论数据集是一个专注于RC网络约简方法TICER（时间平衡常数约简法）的研究数据集，包含2019-2020年间的算法代码、仿真图片、论文和数据文件。该数据集的核心贡献在于通过理论分析证明了TICER的一阶渐近收敛性，并提出了改进方法，对优化RC网络约简应用具有重要参考价值，数据量约437.75KB，属于计算数学领域。