optimize algorithmic choices

Choose efficient algorithms and data structures to improve performance and reduce computational overhead. This involves selecting appropriate containers, avoiding unnecessary operations, and leveraging language features for optimization.

Key optimization strategies:

• Use specialized containers: Prefer til::static_map over std::unordered_map for compile-time initialization, or wil::to_vector for collection cloning
• Leverage return values: Use the return value of operations like insert() instead of separate contains() + insert() calls
• Apply move semantics: Use std::move when transferring ownership, especially with expensive objects like std::filesystem::path
• Choose better algorithms: Replace expensive operations like lstrcmpiW with more efficient alternatives like ICU functions for Unicode handling
• Avoid unnecessary copies: Be careful with reference binding to prevent breaking return value optimization

Example of inefficient vs optimized approach:

// Inefficient: separate contains + insert
if (!state->DismissedBadges->contains(badgeId)) {
    state->DismissedBadges->insert(badgeId);
    inserted = true;
}

// Optimized: use insert return value
auto [iter, inserted] = state->DismissedBadges->insert(badgeId);

For mathematical computations, choose appropriate distance metrics - use squared Euclidean distance r*r + g*g + b*b instead of Manhattan distance abs(r) + abs(g) + abs(b) for color comparisons to better represent perceptual differences.