Book recommendation for linear optimisation

Question

I am currently in a linear optimisation class that uses a lot of the simplex algorithm and things relating to it. The book we are using is called Linear Optimisation The Simplex Workbook but it is beyond confusing and seems very poorly written to introduce someone to the area. I am looking for a book on linear optimisation that is better written and explains stuff well (i.e. talks about feasibility, dual-simplex, simplex, etc). I have asked my professor but he told me he likes this book and did not give me another recommendation, so I am stuck and frustrated trying to learn from the book and his notes (based off the book).

Answer 1

Here are two excellent books

Linear and Nonlinear Programming 2nd Edition by David G. Luenberger (Author)

Convex Optimization – Boyd and Vandenberghe https://web.stanford.edu/~boyd/cvxbook/

Answer 2

In addition to the good recommendations given by Daniel S., may I suggest Understanding and Using Linear Programming by Matousek & Gärtner. It is a relatively small book (222 pages including an appendix on linear algebra, glossary and index), which might be an advantage.

Answer 3

I would recommend Linear Programming 1: Introduction by Dantzig and Thapa. Dantzig created the simplex method, and the book serves as both an introduction to operations research and linear programming.

https://www.springer.com/gp/book/9780387948331