Numerical Methods for Scientific Computing

by Kyle Novak

Scientists and engineers often use algorithms without fully knowing what's happening inside them. This blind faith can lead to inefficient solutions and sometimes flat-out wrong ones. This book breaks open the algorithmic black boxes to help you understand how they work and why they can break down. Ideal for first-year graduate students, this book works to build both the intuitive understanding of underlying mathematical theory and useful skills for research. Examples worked out in detail provide a practical guide for using numerical methods in linear algebra, numerical analysis, and partial differential equations.

468 pages, Paperback

Published August 2, 2018

Reviews

[Ben · Rating 2 out of 5]

Typos, a terrible index. Pretty sure it was self published. It does a good job as a primer, but functionally speaking, it's a terrible textbook.