Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.
This was the textbook for my Numerical Computation course I took in the last semester of my computer science degree at CU.
It provides a survey of the numerical analysis field, along with a good mathematical background for the concepts, and a treatment of the theorems and pseudocode used in numerical analysis algorithms.
I gave three stars since at times I felt lost in trying to understand what was happening mathematically. The authors make an assumption about the mathematical background required, and although I took a lot of math courses for my degree, sometimes I still felt inadequately prepared.
It did succeed in bringing together into one place the bits and pieces of matrices, infinite series, integration, and differential equations. I especially liked the chapter on natural cubic splines since I was able to use that in a class project that is directly applicable to what I do at work.