Preface Student Statements
“I really liked how the textbook built up the ideas in a way that made the motivation behind each concept and theorem feel natural. The order that the material was presented in made sense, and it was clear why each new technique was introduced. I also appreciated that we often derived or proved results ourselves before seeing the formal version - it made everything fit together more logically and helped me actually understand why things work instead of just memorizing them. On top of that, the emphasis on the geometric perspective really deepened my understanding; seeing how the concepts connect visually made linear programming feel much more intuitive.” - Lance Ding, Computer Science & Mathematics Student, Emory University
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“I enjoyed the inquiry-based classroom experience - it transformed each class into an exciting research project. I felt a great sense of achievement when my peers and I collaborated to prove important theorems and explored how linear optimization applies to real-world scenarios. The excitement of discovery not only deepened my understanding of mathematics but also fostered lasting friendships and unforgettable memories.” - Arthur Han, Mathematics & Physics Student, University of Michigan
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“I would say that some of the best skills I learned from this class wasn’t just the material, but the way it was taught. Doing collaborative proofs allowed for a more complete understand of not just the proof itself, but the process of coming up with proofs. The collaborative process has helped me learned how to apply knowledge from both me and my classmates to figure out principles that previously I did not know. It has helped me with research projects that I have undertaken not just in math, but in CS as well.” - Jane Brennan, Computer Science & Mathematics Student, Emory University
