# tree_traversal A Rust library for finding the optimal leaf node in a tree structure. This crate implements several tree traversal algorithms to find the best (the lowest cost) leaf node in a tree. # Algorithms - Breadth First Search - Depth First Search - Beam Search - Branch and Bound Search - Greedy Search # Using this crate ```bash cargo add tree_traversal ``` # Example ```rust use tree_traversal::bbs::bbs; type Node = Vec; fn main() { let weights = [4, 2, 6, 3, 4]; let profits = [100, 20, 2, 5, 10]; let capacity = 8 as u32; let total_items = weights.len(); let successor_fn = |n: &Node| { if n.len() == total_items { return vec![]; } let total_weight: u32 = n .iter() .copied() .enumerate() .map(|(i, b)| { if b { return weights[i]; } else { return 0; } }) .sum(); let mut childrean = vec![]; let next_idx = n.len(); if capacity >= total_weight + weights[next_idx] { let mut c1 = n.clone(); c1.push(true); childrean.push(c1); } let mut c2 = n.clone(); c2.push(false); childrean.push(c2); childrean }; let total_profit = |n: &Node| { let s: u32 = n .iter() .copied() .enumerate() .map(|(i, b)| { if b { return profits[i]; } else { return 0; } }) .sum(); s }; let lower_bound_fn = |n: &Node| { let current_profit = total_profit(n); let max_remained_profit: u32 = profits[n.len()..].into_iter().sum(); Some(u32::MAX - (current_profit + max_remained_profit)) }; let cost_fn = |n: &Node| Some(u32::MAX - total_profit(n)); let leaf_check_fn = |n: &Node| n.len() == total_items; let max_ops = usize::MAX; let (cost, best_node) = bbs( vec![], successor_fn, lower_bound_fn, cost_fn, leaf_check_fn, max_ops, ) .unwrap(); let cost = u32::MAX - cost; dbg!((best_node, cost)); } ``` # Note The API is derived from the great [pathfinding](https://docs.rs/pathfinding/latest/pathfinding/index.html) crate.