Intuitively Understand the Basics of Linear Algebra with Abundant Illustrations! Publication of 'Illustrated Linear Algebra: An Intuitive Understanding Strang-Style'
Kindai Kagaku Sha released 'Illustrated Linear Algebra' by Kenji Hiranabe on April 22, 2026. Inspired by MIT's Professor Strang, it explains linear algebra for data science intuitively.
📋 Article Processing Timeline
- 📰 Published: April 22, 2026 at 20:00
- 🔍 Collected: April 23, 2026 at 00:02 (4h 2m after Published)
- 🤖 AI Analyzed: April 24, 2026 at 05:24 (29h 22m after Collected)
Kindai Kagaku Sha Co., Ltd., which handles the publication of specialized books in the science and engineering fields within the Impress Group, launched the book version of 'Illustrated Linear Algebra' (Author: Kenji Hiranabe) from the Kindai Kagaku Sha Digital label (*) on April 22, 2026.
* What is Kindai Kagaku Sha Digital: It is an on-demand publishing label utilizing digital technology where Kindai Kagaku Sha collaborates with authors in a project-style format.
This book is an introductory text that aims to help readers intuitively master the essence of linear algebra based on three elements: the mind (theory), hands (calculation), and eyes (illustration). The core of this book lies in the 'four fundamental subspaces' serving as a map to overview the world of linear algebra, and the practically crucial 'five matrix factorizations (LU, CR, QR, Eigenvalue, and Singular Value Decomposition)'.
Each chapter starts with specific examples and is structured to allow readers to step up steadily by mixing detailed explanations of theorems with intuitive visual explanations. In particular, the CR decomposition, which vividly clarifies the properties of matrix rank, and the Singular Value Decomposition (SVD), the foundation of modern machine learning and data science, are placed as the highlights of this book. It provides an 'Aha! experience' where the knowledge learned connects into one cohesive understanding as you read through it. Inspired by interactions with MIT's famous Professor Gilbert Strang, the illustrations bring new discoveries and a deep sense of conviction to linear algebra.
* What is Kindai Kagaku Sha Digital: It is an on-demand publishing label utilizing digital technology where Kindai Kagaku Sha collaborates with authors in a project-style format.
This book is an introductory text that aims to help readers intuitively master the essence of linear algebra based on three elements: the mind (theory), hands (calculation), and eyes (illustration). The core of this book lies in the 'four fundamental subspaces' serving as a map to overview the world of linear algebra, and the practically crucial 'five matrix factorizations (LU, CR, QR, Eigenvalue, and Singular Value Decomposition)'.
Each chapter starts with specific examples and is structured to allow readers to step up steadily by mixing detailed explanations of theorems with intuitive visual explanations. In particular, the CR decomposition, which vividly clarifies the properties of matrix rank, and the Singular Value Decomposition (SVD), the foundation of modern machine learning and data science, are placed as the highlights of this book. It provides an 'Aha! experience' where the knowledge learned connects into one cohesive understanding as you read through it. Inspired by interactions with MIT's famous Professor Gilbert Strang, the illustrations bring new discoveries and a deep sense of conviction to linear algebra.