数学建模美国赛论文常用句式总结

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数学建模美国赛论文常用句式总结

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数学建模美国赛（MCM/ICM）的论文写作不仅需要扎实的建模能力，还需要清晰、规范的表达。以下是比赛中常用的句式分类及使用场景，帮助参赛者提升论文的逻辑性和学术感。

### 1. 问题描述与重述 引入背景： "The problem requires us to analyze/explore/develop a model for..." "Given the increasing importance of X, it is crucial to investigate..." 明确目标： "Our primary objective is to determine/quantify/evaluate..." "The key question we address is whether/how..."

### 2. 模型假设与合理性 列出假设： "We assume that... due to the lack of granular data." "For simplicity, we ignore the effect of X, as it is negligible in this context." 解释合理性： "This assumption is justified by prior research/empirical observations..."

### 3. 模型建立与求解 模型选择： "We adopt a X-based approach to capture the dynamics of..." "The Y model is selected for its balance between accuracy and computational efficiency." 求解过程： "By applying X algorithm, we derive the optimal solution under constraints..." "The iterative process converges when the error falls below a threshold of..."

### 4. 结果分析与验证 呈现结果： "Our results indicate a strong correlation between X and Y (R²=0.95)." "The sensitivity analysis reveals that the model is robust to variations in..." 验证方法： "We validate the model by comparing its predictions with real-world data from..."

### 5. 结论与改进 总结贡献： "This study provides actionable insights for policymakers to address..." 局限性与展望： "A potential limitation is the omission of X factor; future work could integrate..."

熟练运用这些句式能提升论文的流畅性和专业性，但需结合具体问题灵活调整。避免堆砌模板，确保逻辑连贯。