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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.