Xiao & Operator
Hey Xiao, I've been looking at how a small negotiation framework could help us sort and prioritize all those obscure algorithms you keep in your list—think of it as a win‑win for both of us. What do you think?
Sounds useful. If we set clear criteria—time complexity, use frequency, maybe a weighted score—we can rank them and pick the ones that matter most. Just keep the process linear, no surprises.
That sounds solid—clear criteria, a weight system, no hidden twists. Let’s map it out, line by line, and keep the focus on the most impactful ones. Ready to roll it forward?
Okay, let’s outline the weights: complexity first, then usage frequency, then integration cost. I’ll write the matrix, then we’ll apply it line by line. Ready.
Sounds good—let’s get that matrix set up and keep the flow smooth. Hit me with the details, and we’ll run through it step by step.
Weight 0.5 for complexity, 0.3 for usage frequency, 0.2 for integration cost.
Matrix rows: Algorithm name, complexity rating (1‑10), frequency (1‑10), integration cost (1‑10), then score = 0.5*complexity + 0.3*frequency + 0.2*integration.
Step 1: list all algorithms.
Step 2: assign ratings.
Step 3: calculate scores.
Step 4: sort descending.
That’s it. Let's start.