{"id":985171,"date":"2024-12-27T07:34:29","date_gmt":"2024-12-26T23:34:29","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/985171.html"},"modified":"2024-12-27T07:34:31","modified_gmt":"2024-12-26T23:34:31","slug":"python%e5%a6%82%e4%bd%95%e6%b1%82%e6%96%90%e6%b3%a2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/985171.html","title":{"rendered":"python\u5982\u4f55\u6c42\u6590\u6ce2"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24212444\/b121d9c1-e5ae-4569-8aa8-f8db7c77500a.webp\" alt=\"python\u5982\u4f55\u6c42\u6590\u6ce2\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u6c42\u89e3\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4f8b\u5982\u9012\u5f52\u3001\u8fed\u4ee3\u3001\u52a8\u6001\u89c4\u5212\u3001\u77e9\u9635\u5e42\u6b21\u6cd5\u3001\u4f7f\u7528\u516c\u5f0f\u8ba1\u7b97\u7b49\uff0c\u5176\u4e2d\u9012\u5f52\u548c\u8fed\u4ee3\u662f\u6700\u5e38\u7528\u7684\uff0c\u52a8\u6001\u89c4\u5212\u53ef\u4ee5\u4f18\u5316\u9012\u5f52\u7684\u65f6\u95f4\u590d\u6742\u5ea6\u3002<\/strong> \u9012\u5f52\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\uff0c\u4f46\u5bf9\u4e8e\u8f83\u5927\u7684n\u503c\u6548\u7387\u8f83\u4f4e\uff1b\u8fed\u4ee3\u65b9\u6cd5\u901a\u8fc7\u5faa\u73af\u8ba1\u7b97\u6bcf\u4e00\u9879\uff0c\u6548\u7387\u76f8\u5bf9\u8f83\u9ad8\uff1b\u52a8\u6001\u89c4\u5212\u901a\u8fc7\u8bb0\u5f55\u4e2d\u95f4\u7ed3\u679c\u8fdb\u4e00\u6b65\u4f18\u5316\u4e86\u9012\u5f52\u65b9\u6cd5\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001\u9012\u5f52\u65b9\u6cd5<\/strong><\/h2>\n<p><p>\u9012\u5f52\u662f\u8ba1\u7b97\u6590\u6ce2\u90a3\u5951\u6570\u5217\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u901a\u8fc7\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u8c03\u7528\u81ea\u8eab\u6765\u8ba1\u7b97\u524d\u4e24\u4e2a\u6570\u7684\u548c\u4ee5\u83b7\u5f97\u4e0b\u4e00\u4e2a\u6570\u3002\u7136\u800c\uff0c\u9012\u5f52\u65b9\u6cd5\u5728\u8ba1\u7b97\u8f83\u5927\u6590\u6ce2\u90a3\u5951\u6570\u65f6\u6548\u7387\u8f83\u4f4e\u3002<\/p>\n<\/p>\n<p><h3>\u9012\u5f52\u5b9e\u73b0<\/h3>\n<\/p>\n<p><p>\u9012\u5f52\u7684\u57fa\u672c\u601d\u8def\u662f\uff1a  <\/p>\n<\/p>\n<ul>\n<li>\u5982\u679cn\u7b49\u4e8e0\u62161\uff0c\u76f4\u63a5\u8fd4\u56den\uff1b<\/li>\n<li>\u5426\u5219\uff0c\u8fd4\u56defibonacci(n-1) + fibonacci(n-2)\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">def fibonacci_recursive(n):<\/p>\n<p>    if n &lt;= 1:<\/p>\n<p>        return n<\/p>\n<p>    else:<\/p>\n<p>        return fibonacci_recursive(n-1) + fibonacci_recursive(n-2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4f18\u7f3a\u70b9\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u9012\u5f52\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u4ee3\u7801\u7b80\u6d01\u4e14\u5bb9\u6613\u7406\u89e3\uff0c\u4f46\u7f3a\u70b9\u662f\u8ba1\u7b97\u91cf\u968f\u7740n\u7684\u589e\u5927\u800c\u5448\u6307\u6570\u7ea7\u589e\u957f\uff0c\u6548\u7387\u4f4e\u4e0b\uff0c\u5c24\u5176\u662f\u5f53n\u8f83\u5927\u65f6\uff0c\u5bb9\u6613\u5bfc\u81f4\u6808\u6ea2\u51fa\u3002\u56e0\u6b64\uff0c\u9012\u5f52\u65b9\u6cd5\u9002\u5408\u7528\u4e8e\u5b66\u4e60\u548c\u7406\u89e3\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u57fa\u672c\u6027\u8d28\uff0c\u800c\u4e0d\u9002\u5408\u7528\u4e8e\u5b9e\u9645\u5e94\u7528\u3002<\/p>\n<\/p>\n<h2><strong>\u4e8c\u3001\u8fed\u4ee3\u65b9\u6cd5<\/strong><\/h2>\n<p><p>\u8fed\u4ee3\u65b9\u6cd5\u901a\u8fc7\u5faa\u73af\u6c42\u89e3\u6590\u6ce2\u90a3\u5951\u6570\u5217\uff0c\u907f\u514d\u4e86\u9012\u5f52\u7684\u9ad8\u8ba1\u7b97\u91cf\u95ee\u9898\uff0c\u6548\u7387\u66f4\u9ad8\u3002<\/p>\n<\/p>\n<p><h3>\u8fed\u4ee3\u5b9e\u73b0<\/h3>\n<\/p>\n<p><p>\u8fed\u4ee3\u65b9\u6cd5\u7684\u601d\u8def\u662f\uff1a  <\/p>\n<\/p>\n<ul>\n<li>\u521d\u59cb\u5316\u4e24\u4e2a\u53d8\u91cfa\u548cb\uff0c\u5206\u522b\u8868\u793a\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u524d\u4e24\u9879\uff1b<\/li>\n<li>\u901a\u8fc7\u5faa\u73af\u66f4\u65b0a\u548cb\u7684\u503c\uff0c\u76f4\u5230\u8ba1\u7b97\u51fa\u6240\u9700\u7684\u6590\u6ce2\u90a3\u5951\u6570\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">def fibonacci_iterative(n):<\/p>\n<p>    a, b = 0, 1<\/p>\n<p>    for _ in range(n):<\/p>\n<p>        a, b = b, a + b<\/p>\n<p>    return a<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4f18\u7f3a\u70b9\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u8fed\u4ee3\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u65f6\u95f4\u590d\u6742\u5ea6\u4e3aO(n)\uff0c\u800c\u4e14\u4e0d\u4f1a\u51fa\u73b0\u6808\u6ea2\u51fa\u7684\u95ee\u9898\u3002\u7f3a\u70b9\u662f\u4ee3\u7801\u4e0d\u5982\u9012\u5f52\u65b9\u6cd5\u76f4\u89c2\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u5b9e\u9645\u5e94\u7528\u573a\u666f\uff0c\u8fed\u4ee3\u65b9\u6cd5\u662f\u8ba1\u7b97\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u63a8\u8350\u9009\u62e9\u3002<\/p>\n<\/p>\n<h2><strong>\u4e09\u3001\u52a8\u6001\u89c4\u5212\u65b9\u6cd5<\/strong><\/h2>\n<p><p>\u52a8\u6001\u89c4\u5212\u662f\u4e00\u79cd\u901a\u8fc7\u8bb0\u5fc6\u5316\u641c\u7d22\u6765\u4f18\u5316\u9012\u5f52\u7684\u65b9\u6cd5\uff0c\u5b83\u80fd\u591f\u663e\u8457\u51cf\u5c11\u8ba1\u7b97\u91cf\u3002<\/p>\n<\/p>\n<p><h3>\u52a8\u6001\u89c4\u5212\u5b9e\u73b0<\/h3>\n<\/p>\n<p><p>\u52a8\u6001\u89c4\u5212\u7684\u601d\u8def\u662f\uff1a  <\/p>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u4e00\u4e2a\u6570\u7ec4\u6765\u8bb0\u5f55\u5df2\u7ecf\u8ba1\u7b97\u8fc7\u7684\u6590\u6ce2\u90a3\u5951\u6570\uff1b<\/li>\n<li>\u6bcf\u6b21\u8ba1\u7b97\u65f6\uff0c\u5148\u68c0\u67e5\u6570\u7ec4\u4e2d\u662f\u5426\u5df2\u6709\u7ed3\u679c\uff0c\u5982\u679c\u6709\u5219\u76f4\u63a5\u4f7f\u7528\uff0c\u5426\u5219\u8fdb\u884c\u8ba1\u7b97\u5e76\u5b58\u50a8\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">def fibonacci_dynamic_programming(n):<\/p>\n<p>    if n &lt;= 1:<\/p>\n<p>        return n<\/p>\n<p>    fib_array = [0, 1] + [0] * (n - 1)<\/p>\n<p>    for i in range(2, n + 1):<\/p>\n<p>        fib_array[i] = fib_array[i-1] + fib_array[i-2]<\/p>\n<p>    return fib_array[n]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4f18\u7f3a\u70b9\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u52a8\u6001\u89c4\u5212\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u65f6\u95f4\u590d\u6742\u5ea6\u4e3aO(n)\uff0c\u5e76\u4e14\u901a\u8fc7\u8bb0\u5fc6\u5316\u51cf\u5c11\u4e86\u91cd\u590d\u8ba1\u7b97\u3002\u7f3a\u70b9\u662f\u9700\u8981\u989d\u5916\u7684\u7a7a\u95f4\u6765\u5b58\u50a8\u4e2d\u95f4\u7ed3\u679c\u3002\u5bf9\u4e8e\u9700\u8981\u5927\u91cf\u8ba1\u7b97\u7684\u573a\u666f\uff0c\u52a8\u6001\u89c4\u5212\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n<h2><strong>\u56db\u3001\u77e9\u9635\u5e42\u6b21\u6cd5<\/strong><\/h2>\n<p><p>\u77e9\u9635\u5e42\u6b21\u6cd5\u662f\u4e00\u79cd\u66f4\u9ad8\u7ea7\u7684\u65b9\u6cd5\uff0c\u5b83\u5229\u7528\u77e9\u9635\u4e58\u6cd5\u7684\u6027\u8d28\u6765\u8ba1\u7b97\u6590\u6ce2\u90a3\u5951\u6570\u5217\u3002\u5bf9\u4e8e\u975e\u5e38\u5927\u7684n\uff0c\u8fd9\u79cd\u65b9\u6cd5\u7684\u6548\u7387\u975e\u5e38\u9ad8\u3002<\/p>\n<\/p>\n<p><h3>\u77e9\u9635\u5e42\u6b21\u5b9e\u73b0<\/h3>\n<\/p>\n<p><p>\u77e9\u9635\u5e42\u6b21\u6cd5\u7684\u601d\u8def\u662f\uff1a  <\/p>\n<\/p>\n<ul>\n<li>\u901a\u8fc7\u77e9\u9635\u4e58\u6cd5\u7684\u5f62\u5f0f\uff0c\u5c06\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u9012\u63a8\u5173\u7cfb\u8f6c\u5316\u4e3a\u77e9\u9635\u7684\u5e42\u6b21\u65b9\u95ee\u9898\uff1b<\/li>\n<li>\u4f7f\u7528\u5feb\u901f\u5e42\u7b97\u6cd5\u6765\u8ba1\u7b97\u77e9\u9635\u7684n\u6b21\u5e42\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>def fibonacci_matrix_exponentiation(n):<\/p>\n<p>    def matrix_mult(A, B):<\/p>\n<p>        return np.dot(A, B)<\/p>\n<p>    def matrix_power(M, power):<\/p>\n<p>        result = np.identity(len(M), dtype=int)<\/p>\n<p>        while power:<\/p>\n<p>            if power % 2 == 1:<\/p>\n<p>                result = matrix_mult(result, M)<\/p>\n<p>            M = matrix_mult(M, M)<\/p>\n<p>            power \/\/= 2<\/p>\n<p>        return result<\/p>\n<p>    F = np.array([[1, 1], [1, 0]], dtype=int)<\/p>\n<p>    if n == 0:<\/p>\n<p>        return 0<\/p>\n<p>    result = matrix_power(F, n - 1)<\/p>\n<p>    return result[0][0]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4f18\u7f3a\u70b9\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u77e9\u9635\u5e42\u6b21\u6cd5\u7684\u4f18\u70b9\u662f\u65f6\u95f4\u590d\u6742\u5ea6\u4e3aO(log n)\uff0c\u5bf9\u4e8e\u975e\u5e38\u5927\u7684n\uff0c\u8ba1\u7b97\u975e\u5e38\u9ad8\u6548\u3002\u7f3a\u70b9\u662f\u5b9e\u73b0\u8f83\u4e3a\u590d\u6742\uff0c\u4e0d\u5bb9\u6613\u7406\u89e3\u3002\u5bf9\u4e8e\u9700\u8981\u8ba1\u7b97\u975e\u5e38\u5927\u7684\u6590\u6ce2\u90a3\u5951\u6570\u7684\u573a\u666f\uff0c\u77e9\u9635\u5e42\u6b21\u6cd5\u662f\u6700\u4f18\u9009\u62e9\u3002<\/p>\n<\/p>\n<h2><strong>\u4e94\u3001\u516c\u5f0f\u6cd5<\/strong><\/h2>\n<p><p>\u516c\u5f0f\u6cd5\u662f\u901a\u8fc7\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u901a\u9879\u516c\u5f0f\u6765\u76f4\u63a5\u8ba1\u7b97\u7b2cn\u9879\u3002\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u901a\u9879\u516c\u5f0f\u662f\u57fa\u4e8e\u9ec4\u91d1\u6bd4\u4f8b\u7684\u3002<\/p>\n<\/p>\n<p><h3>\u516c\u5f0f\u6cd5\u5b9e\u73b0<\/h3>\n<\/p>\n<p><p>\u516c\u5f0f\u6cd5\u7684\u601d\u8def\u662f\u4f7f\u7528\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u901a\u9879\u516c\u5f0f\uff1a<\/p>\n<\/p>\n<p><p>[ F(n) = \\frac{{\\phi^n &#8211; (1-\\phi)^n}}{\\sqrt{5}} ]<\/p>\n<\/p>\n<p><p>\u5176\u4e2d\uff0c(\\phi = \\frac{{1 + \\sqrt{5}}}{2}) \u662f\u9ec4\u91d1\u6bd4\u4f8b\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import math<\/p>\n<p>def fibonacci_formula(n):<\/p>\n<p>    phi = (1 + math.sqrt(5)) \/ 2<\/p>\n<p>    return round((phi&lt;strong&gt;n - (1 - phi)&lt;\/strong&gt;n) \/ math.sqrt(5))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4f18\u7f3a\u70b9\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u516c\u5f0f\u6cd5\u7684\u4f18\u70b9\u662f\u8ba1\u7b97\u901f\u5ea6\u6781\u5feb\uff0c\u53ea\u9700\u5e38\u6570\u65f6\u95f4\u3002\u7f3a\u70b9\u662f\u7cbe\u5ea6\u95ee\u9898\uff0c\u5f53n\u8f83\u5927\u65f6\uff0c\u7531\u4e8e\u6d6e\u70b9\u8fd0\u7b97\u7684\u8bef\u5dee\uff0c\u7ed3\u679c\u53ef\u80fd\u4e0d\u51c6\u786e\u3002\u516c\u5f0f\u6cd5\u9002\u5408\u7528\u4e8e\u5feb\u901f\u8ba1\u7b97\u5c0f\u89c4\u6a21\u7684\u6590\u6ce2\u90a3\u5951\u6570\u3002<\/p>\n<\/p>\n<h2><strong>\u7ed3\u8bba<\/strong><\/h2>\n<p><p>\u7efc\u4e0a\u6240\u8ff0\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u8ba1\u7b97\u6590\u6ce2\u90a3\u5951\u6570\u5217\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\uff1a  <\/p>\n<\/p>\n<ul>\n<li>\u9012\u5f52\u65b9\u6cd5\u9002\u5408\u7528\u4e8e\u5b66\u4e60\u548c\u7406\u89e3\uff1b<\/li>\n<li>\u8fed\u4ee3\u65b9\u6cd5\u9002\u5408\u7528\u4e8e\u4e00\u822c\u5e94\u7528\u573a\u666f\uff1b<\/li>\n<li>\u52a8\u6001\u89c4\u5212\u9002\u5408\u7528\u4e8e\u9700\u8981\u5927\u91cf\u8ba1\u7b97\u7684\u573a\u666f\uff1b<\/li>\n<li>\u77e9\u9635\u5e42\u6b21\u6cd5\u9002\u5408\u7528\u4e8e\u8ba1\u7b97\u975e\u5e38\u5927\u7684\u6590\u6ce2\u90a3\u5951\u6570\uff1b<\/li>\n<li>\u516c\u5f0f\u6cd5\u9002\u5408\u7528\u4e8e\u5feb\u901f\u8ba1\u7b97\u5c0f\u89c4\u6a21\u7684\u6590\u6ce2\u90a3\u5951\u6570\u3002<\/li>\n<\/ul>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5e94\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u6700\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u7684\u6027\u80fd\u548c\u7ed3\u679c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> 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