ISBN: 978-81-965364-0-4
Authors: Dr. Banitamani Mallik, Dr. K. Anuradha, Dr. K. Nandagopal, Dr. N. Srimannarayana
Product Price | ₹750.00 | ||
Click to add this item to cart. |
Product Shipping |
|
Book Description
Welcome to “Linear Algebra and Statistical Methods for Engineers,” a comprehensive textbook created to provide engineering students with a solid foundation in two essential branches of mathematics critical to their academic and professional success. This book is the culmination of extensive research, teaching experience, and a deep commitment to delivering high-quality educational resources.
Engineers are at the forefront of innovation, designing solutions to complex real-world challenges. To do this effectively, they must possess a solid grasp of mathematical concepts and techniques, as these form the core of engineering disciplines. Linear algebra and statistics are two key pillars of this mathematical foundation, and this book is designed to make them accessible and applicable to engineering students.
In this preface, we aim to introduce you to the key features, objectives, and the intended audience of this book.
This book is primarily intended for undergraduate engineering students, but it can also be a valuable resource for engineering practitioners seeking to refresh their mathematical knowledge. Whether you are pursuing a degree in electrical, mechanical, civil, chemical, or any other engineering discipline, the concepts presented in this book are universally applicable.
In conclusion, “Linear Algebra and Statistical Methods for Engineers” is a tool that aims to empower you on your journey as an engineer. We hope you find it not only informative but also engaging and enlightening. Your dedication to mastering these mathematical techniques will undoubtedly be an asset throughout your academic and professional career.
We invite you to embark on this mathematical journey with enthusiasm and an open mind. Your commitment to learning these essential tools will undoubtedly open doors to a world of engineering possibilities.
Best of luck on your educational path and enjoy your exploration of linear algebra and statistics.