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There are several strategies that can be used to optimize Rust hashmap of vectors for minimal lookup operations:

1. Preallocate the hashmap: Preallocating a hashmap can help to reduce the number of resize operations performed on the hashmap during insertion. This can significantly reduce the number of lookup operations required to access elements in the hashmap.

2. Use a good hash function: Using a good hash function can help to ensure that elements are distributed evenly across the hashmap. This can help to minimize collisions, which can increase lookup times.

3. Use small vectors: If the vectors in the hashmap are small, they can be stored inline with the hashmap entry. This can reduce the number of allocations required to access elements in the hashmap.

4. Use a dense hashmap: A dense hashmap can help to reduce the number of lookup operations required to access an element in the hashmap. This is because a dense hashmap stores elements in contiguous memory, which can help to reduce cache misses and improve memory locality.

5. Use an open addressing strategy: Open addressing is a technique where elements are stored directly in the hashmap array. This can help to reduce the number of pointer dereferences required to access elements in the hashmap, which can improve lookup times.