サクサク読めて、アプリ限定の機能も多数！
トップへ戻る
参議院選挙2025
theory.stanford.edu/~amitp
Written in 1997, updated through 2025 The problem we’re trying to solve is to get a game object from the starting point to a goal. Pathfinding addresses the problem of finding a good path from the starting point to the goal—avoiding obstacles, avoiding enemies, and minimizing costs (fuel, time, distance, equipment, money, etc.). Movement addresses the problem of taking a path and moving along it.
Written in 1997, updated through 2025 Movement for a single object seems easy. Pathfinding is complex. Why bother with pathfinding? Consider the following situation: The unit is initially at the bottom of the map and wants to get to the top. There is nothing in the area it scans (shown in pink) to indicate that the unit should not move up, so it continues on its way. Near the top, it detects an ob
Yapps (Yet Another Python Parser System) is an easy to use parser generator that is written in Python and generates Python code. Although there are several parser generators already available for Python, I had different goals, including learning about recursive descent parsers. Yapps is simple, is easy to use, and produces human-readable parsers. It is not fast, powerful, or particularly flexible.
このページを最初にブックマークしてみませんか？
『theory.stanford.edu』の新着エントリーを見る
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
