编辑“︁时间管理”︁（章节）

== 高级技巧 ==

=== 帕累托原则应用 ===
80%的分数往往来自20%的题目，识别关键题目可大幅提升效率：
<mermaid>
pie
    title 分数分布比例
    "关键题目" : 80
    "普通题目" : 15
    "高难度题" : 5
</mermaid>

=== 蒙特卡洛模拟 ===
赛前可通过历史数据模拟不同策略的预期得分：
<syntaxhighlight lang="python">
import random

def simulate_contest(strategy, n_runs=1000):
    total_scores = []
    for _ in range(n_runs):
        score = 0
        time_left = 180  # 分钟
        for prob in strategy:
            time_spent = min(random.gauss(prob['mean_time'], 5), time_left)
            if random.random() < prob['solve_prob']:
                score += prob['points']
            time_left -= time_spent
            if time_left <= 0: break
        total_scores.append(score)
    return sum(total_scores)/n_runs

# 策略示例：先做2道中等题再做3道简单题
strategy = [
    {'points': 500, 'mean_time': 25, 'solve_prob': 0.7},
    {'points': 500, 'mean_time': 30, 'solve_prob': 0.6},
    {'points': 300, 'mean_time': 15, 'solve_prob': 0.9},
    {'points': 300, 'mean_time': 10, 'solve_prob': 0.95},
    {'points': 300, 'mean_time': 12, 'solve_prob': 0.85}
]
print(f"预期平均得分: {simulate_contest(strategy):.1f}")
</syntaxhighlight>