Generalized Singular Value Decomposition (GSVD) is a math tool used to break down really hard math problems into smaller, easier ones. It's like when you have a big puzzle and you break it into smaller pieces, it becomes easier to solve. GSVD helps mathematicians to solve big problems that they wouldn't be able to solve otherwise.
Think of GSVD like a magic trick that turns one complicated math problem into two smaller problems. We call these smaller problems the left and the right problem. The left problem is about finding the best way to combine the original numbers (like a recipe), and the right problem is about finding the best way to use these combinations to understand how the original data is related.
The cool thing about GSVD is that it helps us understand the relationships between things. For example, let's say you want to know how hot dogs and hamburgers are related to each other at a picnic. Instead of just looking at how many hot dogs and hamburgers were eaten, GSVD can help you understand how both of them were related to each other at the picnic - like which people preferred which food or which condiments were popular.
Overall, GSVD is a tool that helps mathematicians break down really hard problems into smaller, easier ones, which in turn helps us understand the relationships between things.