Beck Knight
12/01/2024 · Senior High School
* stirling's Formula \( P_{n}(x)=y_{0}+\frac{\alpha\left(\Delta y_{0}+\Delta y_{-1}\right)}{2}+\frac{\alpha^{2}}{2!} \Delta^{2} y_{-1}+\frac{\alpha\left(\alpha^{2}-i\right)}{3} \) \( \cdot\left(\frac{\Delta^{3} y_{-1}+\Delta^{3} y_{-2}}{2}\right)+\frac{\alpha^{2}\left(\alpha^{2}-i\right)}{4!} \Delta^{4} y_{-2}+\cdots \) \( \alpha=\frac{x-x_{0}}{h}, h=x_{i+1}-x_{i} \) \( P_{n}(x)=\frac{1}{h}\left[\left(\frac{\Delta y_{0}+\Delta y_{-1}}{2}\right)-\frac{1}{6}\left(\frac{\Delta^{3} y_{-1}+\Delta^{3} y_{-2}}{2}\right)\right. \) \( +\frac{1}{30}\left[\frac{\Delta^{5} y_{-2}+\Delta^{5} y_{-3}}{2}\right]+\cdots \)
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صيغة ستيرلنغ تستخدم لتقريب قيمة دالة عند نقطة معينة باستخدام القيم والفروق المتناولة حول نقطة أساسية. تتضمن الصيغة حدودًا تزيد دقة التقريب كلما زادت درجة الفروق المستخدمة. تُستخدم هذه الصيغة في التفاضل العددي والتقريب الدقيق للقيم بين نقاط البيانات.
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