解析反问题正则化方法的跨领域应用与演进

Regularização, aprendizagem profunda e interdisciplinaridade em problemas inversos mal-postos

• 以问答形式梳理反问题正则化的理论源头
• 对比统计学、机器学习等领域的正则化差异
• 适合跨学科研究者理解正则化思想演化

本书以葡萄牙语撰写，通过问答形式探讨了反问题中正则化方法的原理与应用。内容涵盖正则化在不同领域（如反问题、统计学、机器学习和深度学习）中的概念演变与异同，反思其历史起源与未来发展方向。旨在为跨学科研究提供统一的理解框架。

原文摘要 · Abstract (English)

In this book, written in Portuguese, we discuss what ill-posed problems are and how the regularization method is used to solve them. In the form of questions and answers, we reflect on the origins and future of regularization, relating the similarities and differences of its meaning in different areas, including inverse problems, statistics, machine learning, and deep learning.

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