How not to forget the theory?

Question

Books

For the fifth day now I have been trying to master Haggarty's book on discrete mathematics. Everything goes like clockwork and there is an understanding of what I read. However, I do only half or a little more of all the exercises correctly, since the remaining tasks are some incredible equations that stretch over the entire page, as a result of using special tables with ready-made values ​​(laws), or these are tasks to prove or correctly formulate what - which is also not always true. But there is a problem, every day I have to go back to Chapter N to remind myself of the term and / or designation, because everything is simply forgotten. How then to study the material? I understood what quantifiers and predicates are on the first day, but I forgot their names immediately on the second. This is fine?
Haggarty himself at the beginning warns that this book on discrete mathematics and the applications of knowledge from it will be shown only in additions to chapters or pseudo-code in separate chapters (out of 4 chapters read, only one contained detailed pseudo-code (to Prim's algorithm) and one more this excerpt is just for better understanding). And how, in this case, to apply the studied material in practice?
It would be nice to find materials immediately with the code, but many good materials on the same linal and theorver do not contain the code, only in rare cases. And it is often difficult to encode something like this, because you also need a situation where it can be applied, and there are few such situations, it’s not even so easy to create them artificially.
As for "read when needed", in this case it is not even always possible to understand that when writing a program, one needs set theory or a deep understanding of the theory.
Is it important to remember or understand? Of course they will say - to understand, but how can I be sure that "understanding" will not float away from my mind somewhere far away? The question applies to all theory, whether it be computer networks, PC architecture, sections of mathematics, or the complexity of algorithms.

Answer 1

Regular practice and/or regular repetitions.
Research shows that the intervals between repetitions can be gradually made longer and longer.