This book is widely considered a standard textbook for undergraduate and postgraduate courses in engineering and applied mathematics, particularly in Indian universities. If you are looking for a PDF version, it is widely available, but the physical copy is a staple in many libraries.

: User-uploaded versions and Scilab companions are available for viewing with a subscription. Core Content Overview

by M.K. Jain, S.R.K. Iyengar, and R.K. Jain through several academic and digital library repositories: Full Digital Copy

Where to get the PDF (legal/ethical guidance)

| Book Title | Author(s) | Why it's different | | :--- | :--- | :--- | | | Steven Chapra & Canale | More applied; heavy on Excel/VBA and real-world case studies. | | Numerical Recipes (The Art of Scientific Computing) | Press, Teukolsky, et al. | More advanced; focuses on C++ and high-performance computing. | | Introductory Methods of Numerical Analysis | S.S. Sastry | Simpler language; more accessible for Indian B.Sc students. | | Numerical Analysis | Richard L. Burden & Faires | More mathematically rigorous; includes proofs of convergence for every method. |

Complex concepts like error analysis and convergence are broken down into digestible steps.

This book is considered a staple textbook for undergraduate and postgraduate students in engineering, mathematics, and computer science. It is widely prescribed in major universities across India (such as VTU, Anna University, and JNTU) and is often recommended for competitive exams like GATE and IES.