#1775. 求f(x,n)
求f(x,n)
说明
已知<img src=http://ccfoj.com:443/admin/../'data:image/png;base64,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'/><br>计算的值。 <h2>输入格式</h2> 输入x和n。 <h2>输出格式</h2> 函数值,保留两位小数。 <h2>样例</h2> <pre><code class="language-input1">4.2 10</code></pre><pre><code class="language-output1">3.68</code></pre>