数据结构与算法之PHP递归函数

一、递归函数的定义

递归函数即自调用函数，在函数体内部直接或者间接的自己调用自己，即函数的嵌套调用是函数本身。

通常在此类型的函数题中会附加一个条件判断叙述，以判断是否需要执行递归调用，并且在特定的条件下终止函数的递归调用动作，把目前流程的主控权交回到上一层函数来执行。

<?php

//声明一个函数，用于测试递归

function test($n){

    echo $n . "  ";         //在函数开始处输出参数的值

    if ($n > 0) {           //判断参数是否大于0

        test($n-1);         //如果参数大于0则调用自己，并将参数减1后再次传入

    } else {                //判断参数不大于0

        echo "<-------->";

    }

    echo $n."  ";           //在函数结束处输出参数的值

}

//调用test函数将整数10传给参数

test(10);

该程序执行后输出如下结果：

10 9 8 7 6 5 4 3 2 1 0 <--------> 0 1 2 3 4 5 6 7 8 9 10

解释：

第1步，执行test(10)，echo 10，然后因为10>0，执行test(9)，后面还有没来得及执行的echo 10；

第2步，执行test(9)，echo 9，然后因为9>0，执行test(8)，同样后面还有没来得及执行的 echo 9；

第3步，执行test(8)，echo 8，然后因为8>0，执行test(7)，同样后面还有没来得及执行的 echo 8；

第4步，执行test(7)，echo 7，然后因为7>0，执行test(6)，同样后面还有没来得及执行的 echo 7；

第5步，执行test(6)，echo 6，然后因为6>0，执行test(5)，同样后面还有没来得及执行的 echo 6；

...........

第10步，执行test（0），echo 0，此时0>0的条件不满足，不再执行test()函数，而是echo “<-------->”，并且执行后面的 echo 0；

这时，函数不再调用自己，将流程的主控权交回到上一层函数来执行，也就是开始执行刚刚所有test()函数没来得及输出的最后一个echo。

流程如下图：

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alt="" width="1053" height="265" />

在函数执行的第1步~第10步，函数输出的的是绿色部分，红色部分还“没来得及”输出，就调用自己执行操作，依次类推，直到流程执行到不再满足调用自己的条件，输出“<-->”，此时，流程该执行前面“没来得及”输出的代码。

二、实现递归的三种基本方式

1. 利用引用做参数

function test($a = 0, &$result = array()) {

    $a++;

    if ($a < 10) {

        $result[] = $a;

        test($a, $result);

    }

    echo $a;

    return $result;

}

该程序执行后，

$result数组是Array ( [0] => 1 [1] => 2 [2] => 3 [3] => 4 [4] => 5 [5] => 6 [6] => 7 [7] => 8 [8] => 9 ) 。

以$a<10作为判断条件，条件成立，就把$a赋给$result[];将$result的引用传入函数，会将每一次递归产生的$a添加到结果数组$result中。
echo $a的值是10987654321，而不是12345678910。

这是因为当$a<10的时候，在echo $a前就进行了下一次的函数递归。当$a不满足$a<10的条件时，echo $a,返回$result,并执行前几次递归函数中的echo $a。

流程如下图：

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y+BH/Can9rLx2fiBZ2FlrQ0O2E0emFjaAf6NsKbyW5XGc989sVP+2F8L7DR/CXiD4w6brmsW+syT2KeQl6yWahmityFiVQRlRn733iT7V7sJ/8ACfzuL1bvZtNWk4pq7bT0Wl9z87x+DUuKMJh6eIUXKFNwbhTqJuqleMuSNOMovma5nHbpqcz4+8Q/EDV/H/hWx+KXinU/hxHF4Tl1PWE0S8kEcc0NxIu/ZFvBLLtJUByv3Axxk+d+EfGHgjxP441TwlN8bvGNnbJcWltpN2L+5k/tJ7n5WxGLcGHY+1cucHOcgCvdPjHeX+nftF2GqadqsOiTWPgi8uTe3FubuKCOGaSSVnhX5nHlqwwATzwCeK8Z+GXjCyPxQur/AMMfF7SbvWvG17ZLcwf8I7dxid4fkRI2kjCRFgxGcgZOTzXkVL/WlTbveUlq9Xq0re/H8F9+x9tk0Y1cpdeFJx/cqUVCL5Ytzbd37CrZcqavOb0VuVO019bfsh654h1/4ORXnifVLnWL6PUL6E3N3K80rLHJgAs5Y4HYZOOgr56+B/w/8afFjwVJ4v1r4w+JdLnkvruAW8OoPsVIX2j77k8/gMYGO59y/YxKf8KWLKNq/wBq6iQD2Hm18dfBHw/+yHq3gp734v3VqviJ7673eZe3cLGHf+7O2GRUxjoQOa63UcoYPns70r+9JxV7U9bpO7309T5/D0OTG55KhGUWq8EvZ0Y1ZJN1bpQk4pLRXafRKx6f8K/AHjLx9rvjrStR+Mnia0i8K6xLpsDx6i2Zo4yRvbc5+bjnHFel/Caz8VeCv2ltR+Hl9451XxfpX/CNfb1Go3TThJmuY04UsVBC5wcA4avl/wCFnhz9j6917x1H4+uLVNPt9YkTRS95eRA2AztKlHBcf7T5PvXtPwD0/wCEWmftTapa/BWSOXw+PCzFjFLNOv2k3UO/55yzfd28A4/WscomubDPS7fSbbfuy3ja34ns8X0JcmYQkqnIqN0pYeEIJ2hqqik3zXb0stW1fTX6B+P3xe8bfDXV/Bfh/wACaVZ6rqPi67mtES8d0VXXygmGVlAyZOc+leEXXg79rDUPi/Z/GLUvC2hXF/pli1jZ2pvWEECvu3SDD7i5DuCScYbGOBW5+2NbLeeNvg9aPq76AJtWuF/tCN1je1ybf96HYhQV65JxWl/wr2L/AKOO1L/wY2v/AMXXdX9pVxFXmcmoSVrSire5F7PXq/LU+R4djhsDk2Er0404zrQqKblTqzcl7SUbXpuyXKkujt5MPEPxs/aO8Bav4Yh8feE9DstP8Rata6YJbe4kmdWncAkKJOoXJBPGetfXHjDRtX8QeGdR0bQdXfQdQu4ikN9HGJXt3yDvCFlDemMivze+LXhhND134cXC/FW78e+Z4o05PslxdQzrD8+fNCxsSDxtyRjmv0N+J3iDUPCfw48U+KNJ2C90jS7y7g8xdyebBCzruHGRkDIrswGJk4YhV23GPmr25U3rG34HzXGOVUYPLamAhCNSo5axjKMW1NKN41LvTrdWfY+fv+FCfHb/AKLrqP8A4LIv/j9H/ChPjtj/AJLrqP8A4LIv/j9c34O1L9s7xt4V0nxfpWreEIrPWbaK6hSeO7WVUlUMocLEyhsHnDEe9dJ/ZP7bv/Qa8F/983n/AMYrFU6LV1Sqf+BS/wDkj1q9fNKVSVKpjsGpRbTXs6OjW/8Ay4K37Mfiv4j/ABD+B+uXWoa+1z4khv761s764jSQRtHHGYtyBQGQOxyDzgkA9Meofs+fFW7+KvgMXuuwi08SaNcSadq1uBt2XcBwWC9g4w2OgO5Rnbms39mn4UeJvg78P7nwv4turS7v7jUZ7wvZNI8W2ZYwBmRIznKnPy4968h+ET/8Ix+2H8WPB9nF5VnrFpb6qQAADKBE7N16s9zIT6muzDVKtJ4WNV/FFRlf+ZRvf10kn3+R5ueYXL8xrZysFGNqbVanKKSXKpKEorb3WpqSXRx0tdn3HRRRX0B+MBRRRQAUUUUAFFFFABRRRQAUUUUAf//T/fyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+Lv2x/hD4z8d6Z4T+IPw5sYtX8ReAb/AO2x6fMqsl3AxRpE2tgOQ0SnZkbl3AfNtB8Q8T/GT4leP/D9v4Q+EvwG1Hwz4z1Bo0lvtS0mFbKwwwMjB7mDy2BAK5lVAM5ALYFfqBRXlVMsblNxm0pO7S72S0e6ukrnkYvKnOpKrSqODkrOyTvbZq+zs7X9NND80/ib8OvjF8E/ir4O/aA8FaM3jg2mjQaR4is9OgSKWZ449kksUEEeVRzhl2IQhQBgENa2q/Ez9oH9obx94V8PfDrwp4h+GvhjSryK81nU9SRrKSaIfehVSAHG3ICAvuZlLKiqTX6LUU45a4zbU2ouXNy7a3u1fezetvVbGM8k1kqdWUYytdd7JLRvVXSV/wBD4e8A+EvFVn+3P8RfF13o17BoV9oVvDb6hJbyLaTSqtnlI5ivlsw2NkAk8H0NTfGnwl4q1X9rL4MeJdM0a8vNI0tL4Xd5DbySW9sWRtvnSKCsec8biM9q+26KtZdFU6VO/wAEub195yt+NjoqZVGVOrTv8clL0s4v/wBtPzC8Oj4t/sefFDxfZ23gjUvHHw78XXr6jazaRCZ57SVyThkRTg4IjYPtBCqyNwVO74E0H4r/ALRf7R2ifG7xv4UufBPg7wTFImmWmoRlLu5lYMAxR1VslmDs23aoVVUsctX6QUVhh8oUHTTm3GDvFaadrvd26fLexzyyNNuHtH7Ny5uXTe/Na+9r62Cvnf8Aax0TWfEf7PHjTRPD1hcapqN1bRLDbWsTzzSETxkhI0BZjgE8DoK+iKK7cfhFXoToN2Uk196se3JXTR5F8E9Gu7P4G+CvD+u2ktpcxaFY21zbzo0csbi3VHR0YBlYHIIIyDXwX8IfEnxd/Y9n8S/CfxF8Odb8Y+HTeTXuj6ho1u9wrBwFCuVVlVXVVZhnfG27KsGBH6o0VOLwkp1VWpz5ZWa6O6dnrfs0mjyquUpwoxhNqVPZ/KzTXZr9Ox8H/sk/D74j3njnx5+0L8V9Hbw/q3jWRIrKwmG2eC0QgnepAZRhY0UOFY7CxUArn6M/aE8K3fjT4K+L/Dunqz3U1i8sKJy0klsROiD3coF/GvZKKieXQeEeEXw8rj997v5ttns8M1JZZXpYmk+acJqd31lzc13bz/A+U/hFo3g/47fsveGfDfiWE3WnGygs50RzHIk2nMIwQy4KnMYYeoPOQTX0P4R8HeGPAehW/hnwhp0Wl6bajCRRDqe7MxyzuccsxLHuTXnPwr+Ekvwo1zxUmi6gj+GNfvPt9rp3lbWsbhwBMqOGw0bYG0bRtAA55J9rqsDR9yNSpFKpZJ/Lz7dUfXcXZuquKrUsFWk8NKbqRjdpJzV9YvTmj8LdtbaOx8b/ALKX/I0/Gf8A7G69/wDRklfR3iL4aeB/FfibQ/GOv6TFd6x4ccyWVw2Q0bHkZAIDhW+ZAwO1vmXB5rQ8OeCPCvhG71e+8N6clhNrty15eshY+dcPndIQxIBOTnaAK6qpwWCUKEKVRJuNvvWzQuJeJ5YnM6mPwcpQ5klvZ25FCS0ezs15p6nxT8QZ2+MH7T3hX4aWp87Q/h6v9t6rgnabwgG3jPGCVJjOM8q7j+HFeIeDfhd4j+MPjjxN4a1uzV/hzpnjjxFqOpSJMVmnu1VI4YQiYkGA2QynBDPkghQf0n07wv4c0jVtR17StMt7PUdX8s3lxFEqSXBizsMjAAsRuPJ5pNA8LeHvC/8AaA8P2Mdj/at3LfXXlgjzbmbHmStkn5mwM15zyP2kuas73cm/O7jyr0Sik11t2bPrsH4nfU8N9XwNNxcacYQb+zL3nUqaNWk5SfI9bJR6o/KbSPhfez+B/EPxV8WeK7rwxfWUdzp+gjVvKhvrvSNPtZreW3eByqlpg6x42syFTjduBP1n4L+KGj/B79kXw14y1dkM0OlpHZ27ttNzdvu8qJe/J5YgHCBm6CvpHxh8OfAnxAFovjXQrTWvsO8wfaYxIYvM279pPTdtXPrgelS6r4A8E63pOmaDqmiWlxpujSwTWVuYlEVvJbf6oxqMBQo4wOCuVIIJFZYbI6lD2nsZJOSSvre/WT89b+u51554mYXNadGnmFOTiqilKMeVJQimlCL3d07ttKzcmlqfnv8ACbWfiH+zElp4y+LME174T+Iii/1K5igZp9L1KZyymdQM4kjZS4wDuyqjKESHwCuf2Z/Elt411n4kzeH5by+8TahcWb6s0MUz2Uux4mUTlWCEliBjg5zzX6aSRRzRtFMgdHBDKwyCD1BBrzS++Cnwe1KZ7m+8D6JNNIcs7afb72PqW2ZJ+tDyOcJRVNqUIppKSva9nv1tbTTRaGr8UcJio4ipiqU6Vary806MlG6i3yrlaVmk+VtSs0ldXu3yvgGT9ne3nvvDfwp1HQbe+1mIrLFo9zB58qxq2GAhbdlAzEEdMk18EeMNe+MHwf8AAV78HfiH4dvtdsrXV7O903XIt8kM0cd2koiaQhxukKnapbepYKVIxX6YeHPhV8NPCGpf2z4V8L6bpN8EaPz7W1jik2Njcu5QDg45ro/EPhvQ/FenDSfENot7aCWKby3JA8yBxJG3ykHKsoI+lbYnKalSEXGShJaafDa6ez9Lnl5Jx9g8DjnOVKVejJwk/aP94pQvaUZJ9E7Wbs1o+h+fmneDPi/8b/G/jj4t3HhyXwbDc+HLzRdGt7vMN3cSyxlELhgpXOWJchQMoqlwrNWF8FfF/iX4V+BofBWnfAzVbjxxDJLF9taxKW9xIzkpJNdOm5VQMBjJTAyHUHj9PKKmPD6jJThUalZpuybd222tNHd9PLsaVfFf2tCWDr4OLoe5ywUpx5VBOMU2pXmtW3d6vVW6fAH7JfhjWJ/C3jb4S/GHwddhrjUpb+6fULYfYrlpPLQqjEbHZZIvMVoyVxhlPQ131z+zZ4r+Hc76r+zn4xuPDi7t7aLqTNeaVKcglRv3vHuwcth354Za+waK6qOS0o0oU38UVZSWjt01X5bPqePmfiXjq2OrYuilCFVpypv36bdkm3CV1rbTqtkzxD4UePfibr+oX/hf4p+DH8O6rpsSSC8t387TrxWYqTC/zbW4z5ZdmAILY6V5n+1z4a8R+JdL8Bx+HNKu9Vez8SWk84tYJJzFCqvmR9gO1BnljgCvruiumtgXUoKjOTeqd9L6O6206WPIy/iqOEzSGZ4bDxhy/YTly3cWna7bSd72u7bLQ8Y/aC+HF78VvhLr3gzS2VNQuEjmtd5wpnt3WVUJPAD7dmT0zmvlGz+O/wAbbD4Vj4bP8LtfbxrBa/2VHei0kNmcJ5K3JfYQWA+bvGSN2/acV+itFc2Myl1JynTqOPMrStbVK/3PVq528P8AGlPCYRYLF4WNaEZ+0jzOS5ZWSfwvWLSV4vsfnJ48+GWofCb9hPU/CutKqaqz2l1eKpDBJp7+Ftm5SQxRdqEgkEgkHGKyvix8Q/iV4ri+F+keMPh1ceErGDxRo8kV7Lex3KSyLuURhEjUgsrFgSf4cYr9H9V0fSdesJNK1yyg1Gym274LmNZon2kMu5HBU4IBGRwRmr6oiIsaKFVQAABgADpiuetkblJ8lTljaCtZPSDe99fSzXnc+iwPimor2uLwqq1nVq1eZylGzqxhH3UnbTl+0pK1kras8w+MPhb4a+L/AARPpfxXmt7XQUmhla4uZ1tVhlVsIyzOQEZslOCCQxXvXzj4U8QeFfGn7YwvfBV7DrOm6D4QFo9zbyC4hSUXOQFmBYOdkgBIY85BOQa+xfEHhzQfFmlTaF4m0+DVNOuCpkt7iMSRsUYMpKsCOGAI96yfCnw+8DeBFnXwZoNlov2rb5xtIEiaTbnbvZQCwGTgE8ZOOtddfAyniI1FZRTTfdtJpfJXPnMj4noYXLq1Co5ynKM4xV17OPPy80rb8zUemj0Pj/46fEDwd4x8aP8ADL4Y+C9L8b/Ecn7LPe32nQ3MGlxRn5zJLNGQ3llumfLVjzlv3bcp8QvCvwkk+KHwV8P6Xpfhq6uru7uV1iLSbW2FtOyRRA+ZGm7935m7YshJ69SDX6E2mjaRYXt7qVjYwW95qLI11NHGqSTtGoRDK4ALlVAUFicDgcV514d+Bnwi8Ja8nifw74VsrHVIi7JcIhLoZAQxTcSFJBIyMcEjpXBVyapOalNxd5Rb0tZRknZLXfq29T6fJ/EPB4SjGlSjUh7OE0rS5nOc6bg3J3jywg2nCMYu1m3q7nyN4ytNL+BXxBn1L4mfDbw5q/w41a6UWWp6do1tHNpOQAkc6CMl8EZJJJbJZGziEfYfxH1Gx1j4NeKNW0udbmzvdBvZ4JUOUkiktXZGU9wQQRXoGo6bp2sWM2mataxXtncLtlhnRZInX0ZGBBHsRTdS0yw1fTLrRtShE1lewvBNEcgPFIpVl4wcFSRxXXHK5Qo1aMZaSTtpqrp7vqu2l0u58zmXGFPGSwlatTaq0muZqT5ZJWs1F/DN295ppS0dr3Pnz9n7wt4Y8RfAfwHL4g0iz1N4NNURtdW8cxQMxyFLq2AcDOOuK83+JfgnwZa/tMfCHS7bQNPis7yHWjPAlpCsUpS2yu9AuG2nkZBwelfYPh7w9o3hTRLPw54ethZ6bp8YighUswRB0ALEn8zVbUPCXhvVdf0vxTqOnxT6toolFncsD5kAnXZIFI/vLwc1tXy9TjTVleLTfyNsLxq6WZYrFpy5KirqKvt7WM1F2vbRyTdvkN0rwb4Q0G6N9oeh2OnXJUoZba2ihfacEruRQcHA4rwa2+N3jKP9pB/g3rPhoWeh3cMr2GoN5ivceTAszOrMPLdQdyELypxk5BB+na8w0b4UeH9K+Imq/FC5urzVNc1GMW8TXcvmRWNtwTDaoAAiMwyepznnlt2telU56fsnaKevpb/M8jJMywiWJlmUfaSdNxhe7am2uWV7/Z1bvdWurXZ6fRRRXcfKnlPjT4JfDP4h+KdK8YeMtFj1TUNIjaKISkmJ0LblEsf3ZAhLFQwI+Y5B7c7+0yiR/ADxrHGoVV05gABgABlwBXvFY3iHw/o3ivRLzw54htVvdN1CMxTwvkK6N1GQQR7EEEdq87G4CM6FWlSSTmn97Vrs+kyniOtSxeEq4mcp06EotRveyUlJqKbsr/I4f4If8kZ8Cf8AYD03/wBJkpg+DHw+tovFo0jTzpM/jZSNSuLNzFKxKld0Z5EZyzMdoGWJY5Jr0LRtI07w/pFloWjwC2sNOhjt7eIEkRxRKERQWJJwABySa0q6qmHhNe/FPp9+j+858TnlZYmtWw05RU5Xte1/e5ldLR2dn11R+YHwy/Z08Ga18cPih4Mm1TWbey8PtYNDJBfGOeU3KNJIZnC/Od3IyPzr3i5/Y3+DmjvdeI7vXdbsWEZNxeSamIiI1xnzJSg+UbR1OOB6V9PaT4K8LaF4g1jxVpOnpb6trxiN9cAsXn8ldseckgbR6Ae9a+s6PpniHSbzQtatkvLC/ieGeFxlZI3GGU/UV4mE4eo06CjKEXJX/Ftr8HY+9znxZzPEYuNShiakKfLTjJXV24wjGb3s7yTau9bq9j8wfh58EfAHin9pPxf4Z0jxDqd/omj6bazw3trqIkkeVvILRyXCKQ6glht7Yx24+oP20xcTfAi/02ytpru71C/0+3gjgiaVmkM6soIUE/Nt2j1YhRyRXufgn4X/AA++HP2r/hB9BttHa92+e0C4aQJnaCxJOBk4Gcck13tXh8kUcG8Nezk3drzk317LT5BnXiZKvnODzGPNOGH9nyqbSbcFG7drpczjd2ufll4Tsvi58Y/ij400vxqlmfEGmeDdQ0si3ISC1uNULNb20hUEbo1lKNy5Gw7mZwa9BuPAXxispfhRafENfDWhaD8P7y0b7SL9kmnS2REb/WhVLbIyxUdT6AV926T4V8N6Fqeqazo2mwWd7rciS3s0SBXuJEG1WcjqQCfxJPUk1n+MvAPg34g2EGmeNdIg1i1tpfOjjnXcFk2ldwxjsSKypZFKEE1K8009Xo7S5lfS+n4s9DE+K8KmKioUIwoqKVlG7i3Bxm4LmUUm5Ssneya6nxb8CfiFpvw1/ZJ1vxvdSIfsl3qZtlJwJriSTbAg6/ecjOAcDJ6A16p+zJ8H/Dui/BHwynirw9Y3Gq3sL3kz3FrFJLi5kaSIMzpuyI2QEHpjHaveIvhv4Bh8JL4DTw/Zf8I6uCLAwI1vkPv3FCCC2/5snnPOc12gAAAAwBXXgMq9lye0afLCMF8t387L7jweJOO4YmGKWDjKDr13Vk768qTUI6duabl8rbHwh8E9L+Gmj678Z9W8Y2GlWulaT4mmQTXkEIht42YqqguuEUsQABgZNP8Ahnq/w+1v9sHWbr4atYy6XF4UEcsmnIiwPOLmEsQYwFYhSgLc9Mdq+y5/CHhO5tNRsLjRbKS21hi97E1vGUumPVpl24kPu2TVbw14E8E+DDOfCHh/T9EN1t842VrFbmTZnbvMaruxk4z0yayw+VTg6Mbrlhrtq3Zr7tTrxXH2HrLGVpxqe0qwVNLmXIlywTb0ve8W9O6Pi/8AbWu/DFh4o+E1541h+0aDDqd019GVLhrcG38wFVIJG3PA59M9K4z/AIWH/wAE/wD/AKAEX/gvua/QbX/BXhXxTqGkatr+mxXt5oM/2mxlfO+3l4O5CCOu0ZByDgccV1FZTyWo61WonC0nfWHM/hit7rtt/mbZf4iYWjlmEwMoVuakpJunW9lF805SWnJO+j3du1up+RPjfxP+zNrvif4eW/wS0xLLVo/EunNcMttLBm38wAjMnB+crx1r9JfjhHJN8GfHcUKF3fQtSCqoySTbPwAK6rxN4L8L+MRp48TadHf/ANk3Ud7al8gw3EX3JFKkHI/I9xXT1phconCFeEmvf7KyXu22v+pwcR8dUMXLA1KMKl6DbftKntG7yUl7/LHTT+XTzPjH4GftHfBPSfhD4T0XWPFdrp9/punwWtxBOHR0lhQKw5XBGRwRkEV6x/w058Av+h30/wD76b/4mu8l+F3wzmkeabwjpEkkhLMzWFuSxPJJJTkmmf8ACqvhf/0J+jf+C+3/APiK6adLGxio80dPJ/5nNmOZcOYnEVMRKlXTm3K3PT0u7/yHzV4P+KEXxY/aoL+ANZub3wl4f8Psl2YmlWymvGmIB2khGIDja23J2NjIGazvgdEvjH9qX4ufEi13PY6eIdGikOdjSR7EkCE8HBts8dmB7ivrSXwrbaP4b1LSPh/bWXh26uopPIkhtUWGO4dcLK0UewMVOD15xXLfBb4Vab8HPAdp4Pspze3O97i8u2Xa1zdS/fkIycDACrkk7VGSTk1zUMvqqtTdR3UeaTfTmloklq7JN/h8vUxPF2AWCxX1SLhKVOnQhF6y5FLnnOTUVG7cUrLXXsj1iiiivfPycKKKKACiiigAooooAKKKKACiiigD/9T9/KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/1f38ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//W/fyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k=" alt="" width="563" height="495" />

2. 利用全局变量

global在函数内申明变量是外部变量的同名引用。

function test($a = 0, $result = array()) {

    global $result;

    $a++;

    if ($a < 10) {

        $result[] = $a;

        test($a, $result);

    }

    return $result;

}

3. 利用静态变量

static仅在第一次调用函数的时候对变量进行初始化，并且保留变量值。

function test($a = 0) {

    static $result = array();

    $a++;

    if ($a < 10) {

        $result[] = $a;

        test($a);

    }

    return $result;

}

三、PHP实现递归与无限分类的方法

$area = array(

    array('id'=>1,'area'=>'北京','pid'=>0),

    array('id'=>2,'area'=>'广西','pid'=>0),

    array('id'=>3,'area'=>'广东','pid'=>0),

    array('id'=>4,'area'=>'福建','pid'=>0),

    array('id'=>11,'area'=>'朝阳区','pid'=>1),

    array('id'=>12,'area'=>'海淀区','pid'=>1),

    array('id'=>21,'area'=>'南宁市','pid'=>2),

    array('id'=>45,'area'=>'福州市','pid'=>4),

    array('id'=>113,'area'=>'亚运村','pid'=>11),

    array('id'=>115,'area'=>'奥运村','pid'=>11),

    array('id'=>234,'area'=>'武鸣县','pid'=>21)

);

function t($arr,$pid=0,$lev=0){

    static $list = array();

    foreach($arr as $v){

        if($v['pid']==$pid){

            echo str_repeat("&nbsp;&nbsp;&nbsp;&nbsp;",$lev).$v['area']."<br />";  //这里输出，是为了看效果

            $list[] = $v;

            t($arr,$v['id'],$lev+1);

        }

    }

    return $list;

}

$list = t($area);

echo "<hr >";

// print_r($list);

该程序执行后输出如下结果：

北京

朝阳区

亚运村

奥运村

海淀区

广西

南宁市

武鸣县

广东

福建

福州市

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