The chapter reviews the foundations and problems of stochastic numerical analysis, and provide a brief overview of the methods introduced in this book: asymptotic expansion, weak approximation and deep learning methods.

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Introduction

  • Akihiko Takahashi,
  • Toshihiro Yamada

摘要

The chapter reviews the foundations and problems of stochastic numerical analysis, and provide a brief overview of the methods introduced in this book: asymptotic expansion, weak approximation and deep learning methods.