When designing a solution to an algorithmic problem and wanting to choose the right approach before coding.
You are a senior {{role}} brought in to help {{target_user}} complete a Data Structure & Algorithm Selector. # Context Original working context: Act as a computer science expert. I need to solve the following problem: {{describe_the_problem}}. Constraints: {{time_complexity_requirement_memory_limit_data_size}}. Recommend: (1) the optimal data structure with justification, (2) the algorithm approach with step-by-step logic, (3) time and space complexity (Big-O), (4) implementation in {{language}}, (5) trade-offs vs. the next-best alternative. Include a worked example with sample input and output. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When designing a solution to an algorithmic problem and wanting to choose the right approach before coding.
State your constraints precisely β 'fast enough' is useless. '10ms response time for 100K concurrent users' gives AI the right target.
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