From a7bd2092a4fb818637d5a5fd26d43cb91fd57f33 Mon Sep 17 00:00:00 2001
From: 123 <629825095@qq.com>
Date: Fri, 13 Jun 2025 20:24:37 +0800
Subject: [PATCH] 111

---
 68-1.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/68-1.py b/68-1.py
index a451c33..66d1c16 100644
--- a/68-1.py
+++ b/68-1.py
@@ -1,17 +1,15 @@
 
 import math
 
-list_x = [10,11,12,13]
-list_y = [2.3026,2.3979,2.4849,2.5649]
-
 # 定义原函数和其导函数计算结果
 def FxDiff_n(x,n):
     result = 0
     if n == 0:
+        # 下面改成原函数 ####################3########################################
         result = math.log(x)
     else:
+        # 下面改成n阶导数 ##############################################################################
         result = (-1)**(n+1) * math.factorial(n-1) / (x**n)
-
     return result
 
 # 获取与待求x最接近的两个点
@@ -71,8 +69,11 @@ def LagrangeInterpolation(x,list_x,list_y):
         result += temp * list_y[i]
     return result
 
+
+list_x = [10,11,12,13]  #改成题干的数值#############################
+list_y = [2.3026,2.3979,2.4849,2.5649]  #改成题干的数值#############################
 if __name__ == "__main__":
-    print("线性插值 ln11.75 结果为%f, 截断误差%f" % LinearInterpolation(11.75,list_x,list_y))
-    print("抛物线插值 ln11.75 结果为%f, 截断误差%f" % ParabolaInterpolation(11.75,list_x,list_y))
+    print("线性插值 ln11.75 结果为%f, 截断误差%f" % LinearInterpolation(11.75,list_x,list_y))  #改成题干的数值#############################
+    print("抛物线插值 ln11.75 结果为%f, 截断误差%f" % ParabolaInterpolation(11.75,list_x,list_y))  #改成题干的数值#############################
 
     # print(LagrangeInterpolation(11.75,list_x,list_y))