数学建模美国比赛的常用写作词汇

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数学建模美国比赛的常用写作词汇

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在美国数学建模竞赛（如MCM/ICM）中，精准的学术表达对展现模型逻辑至关重要。以下是核心写作场景的高频词汇分类：

问题描述类 核心动词：formulate, characterize, quantify, generalize 现象描述：fluctuate, stabilize, correlate, deviate 假设说明：postulate, presume, subject to, contingent on

模型构建类 方法论：heuristic approach, stochastic process, deterministic model 变量关系：proportional to, inversely related, non-linear dependency 验证术语：sensitivity analysis, robustness check, validation metric

结果呈现类 数据趋势：plateau, asymptotic behavior, inflection point 比较表达：outperform, marginally better, statistically significant 程度修饰：substantially, negligibly, within tolerable margin

结论建议类 推论短语：extrapolate to, warrant further investigation 政策建议：implementable strategy, cost-benefit tradeoff 局限说明：caveat, boundary condition, scope constraint

进阶技巧：避免绝对化表述，多使用"may suggest"、"tentatively indicate"等谨慎措辞。图表描述时采用"exhibits a clear pattern of..."等客观句式，避免主观形容词。时间序列分析需区分"short-term volatility"与"long-term trend"等专业表述。