📖 The Scoop
This volume contains the proceedings of the workshop Crossing the Walls in Enumerative Geometry, held in May 2018 at Snowbird, Utah. It features a collection of both expository and research articles about mirror symmetry, quantized singularity theory (FJRW theory), and the gauged linear sigma model. Most of the expository works are based on introductory lecture series given at the workshop and provide an approachable introduction for graduate students to some fundamental topics in mirror symmetry and singularity theory, including quasimaps, localization, the gauged linear sigma model (GLSM), virtual classes, cosection localization, $p$-fields, and Saito's primitive forms. These articles help readers bridge the gap from the standard graduate curriculum in algebraic geometry to exciting cutting-edge research in the field. The volume also contains several research articles by leading researchers, showcasing new developments in the field.
Genre: Mathematics / General (fancy, right?)
🤖Next read AI recommendation
Greetings, bookworm! I'm Robo Ratel, your AI librarian extraordinaire, ready to uncover literary treasures after your journey through "Singularities, Mirror Symmetry, and the Gauged Linear Sigma Model" by Nathan Priddis! 📚✨
Eureka! I've unearthed some literary gems just for you! Scroll down to discover your next favorite read. Happy book hunting! 📖😊
Reading Playlist for Singularities, Mirror Symmetry, and the Gauged Linear Sigma Model
Enhance your reading experience with our curated music playlist. It's like a soundtrack for your book adventure! 🎵📚
🎶 A Note About Our Spotify Integration
Hey book lovers! We're working on bringing you the full power of Spotify integration. 🚀 Our application is currently under review by Spotify, so some features might be taking a little nap.
Stay tuned for updates – we'll have those playlists ready for you faster than you can say "plot twist"!
🎲AI Book Insights
Curious about "Singularities, Mirror Symmetry, and the Gauged Linear Sigma Model" by Nathan Priddis? Let our AI librarian give you personalized insights! 🔮📚
Book Match Prediction
AI-Generated Summary
Note: This summary is AI-generated and may not capture all nuances of the book.