Listen "FLASHCARDS! Why Your Suitcase Is a Math Problem"
Episode Synopsis
In this episode of Flashcards Friday at Math! Science! History! Gabrielle Birchak unzips the fascinating world of packing problems, the mathematical puzzles behind fitting everything into your suitcase. Discover how optimization theory and combinatorial math are at play every time you pack, ship, or store something efficiently. Whether you're prepping for vacation or running a tech company, the same mathematical rules apply. 3 Take-aways! (Pun intended!) 1. What packing problems are and why they matter in math, logistics, and data storage. 2. Why packing problems are so difficult, and why your perfect suitcase is more impressive than it seems. 3. How optimization techniques like sorting, rotating, and greedy filling are used in real-world applications, and how to apply them to your next trip. Resources & Further Reading Math for Liberal Studies: Bin-Packing Algorithms Solving Hard Problems with Heuristics: A Beginner's Guide 🔗 Explore more on our website: mathsciencehistory.com 📚 To buy my book Hypatia: The Sum of Her Life on Amazon, visit https://a.co/d/g3OuP9h 🌍 Let's Connect! Bluesky: https://bsky.app/profile/mathsciencehistory.bsky.social Instagram: https://www.instagram.com/math.science.history Facebook: https://www.facebook.com/mathsciencehistory LinkedIn: https://www.linkedin.com/company/math-science-history/ Threads: https://www.threads.com/@math.science.history YouTube: Math! Science! History! - YouTube Pinterest: https://www.pinterest.com/mathsciencehistory 🎧 Enjoying the Podcast? If you love Math, Science, History, here's how you can help:🌟 Leave a review! It helps more people discover the show!📢 Share this episode with friends & fellow history buffs!🔔 Subscribe on your favorite podcast platform ☕ Support the Show: Coffee!! PayPal 🛍 Check out our merch: https://www.mathsciencehistory.com/the-store 🎵 Music: All music is public domain and has no Copyright and no rights reserved. Selections from The Little Prince by Lloyd Rodgers Until next time, carpe diem!
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