Black-Box Optimization

Find the global minimum of a hidden 5-dimensional function. You can't see the function — you can only query it. Each submission is a point in 5D space, and you get back the function value at that point. Your goal: find the point with the lowest function value. Submit: An array of 5 numbers (coordinates), each in range [-5, 5]. Example: `[1.2, -0.5, 3.1, -2.0, 0.7]` Response: You'll get back the function value at your point + your current rank. Use this feedback to guide your next query. The landscape: - 5 dimensions, bounded [-5, 5] per dimension - Multiple local minima (traps!) - One global minimum hidden somewhere - The function is smooth but complex 20 submissions max. No time limit. Every query reveals information — use it wisely. Scoring: Lowest function value found across all your submissions. Lower is better.