石立鑫
山东省临沂市蒙阴县第四中学276200
摘要:在近些年来,分类讨论思想不再只是高中数学的必考知识点了,也逐渐出现在各大中考数学试题中,无论高中还是初中,它都是一个重难点。对初中生来说,分类讨论思想是他们步入初中以后才接触到的一种做题思想,想要完全理解并熟练应用在做题中,是非常有难度的。分类讨论思想在初中数学解题中有着非常广泛的应用,对初中数学的整个系统框架起着很关键的作用,本篇文章从应用题、方程、三角形以及圆四个方面阐述了分类讨论思想在初中数学解题中的应用。
关键词:初中数学;分类讨论;解题;应用
分类讨论的数学含义就是把数学问题划分为几种情况,并列举出来,然后依次求出每种情况对应的答案,要求做到每一种情况不遗漏,也不会出现重复的情况。对初中学生来说,掌握分类讨论思想对自身的学习是有极大的帮助的,不仅能够锻炼自己的思维,还能在很大程度上提高自己的学习成绩。
1分类讨论在应用题中的应用
初中数学不同于小学数学,小学数学的答案具有唯一性,但是很多初中数学题具有很多个答案,需要分类去讨论。分类讨论思想在初中数学中的应用之一为应用题,应用题重在分析与理解问题的能力。通常由于变量的取值不同就会导致结果不同,在做应用类问题时要理解题目中的要求是什么,可以从题目中获取什么有效信息,题目中是否存在“陷阱”等等。分类讨论的时候要注意讨论合理,且要讨论完全,所有情况都要考虑到位,漏掉任何一种情况都是不完整的。
例如,某女装厂生产一种上衣和一种丝巾,上衣的价格为100元每件,丝巾的价格为20元每条。商家正在开展促销活动,有两种方案,第一种方案:买一件上衣送一条丝巾;第二种方案:上衣和丝巾均打九折,要求两种方案只能选一种。现在某公司的采购人员准备采购20件上衣和若干条丝巾(丝巾数量大于20),请问选择哪种方案更划算?为什么?
分析:因为题目中没有明确采购的丝巾的具体数量,所以哪种方案最划算是无法确定的,要根据丝巾的数量来判断。
解:设采购的丝巾的数量为x,则由题意可得,
方案一:所花费的钱为100*20+20(x-20)=20x+1600;
方案二:所花费的钱为100*0.9*20+20*0.9*x=18x+1800;
设y=20x+1600-18x-1800=2x-200,
当y>0时,2x-200>0,即x>100,此时方案二更划算;
当y=0时,2x-200=0,即x=100,此时两种方案都可以;
当y<0时,2x-200<0,即20<x<100,此时方案一更划算。
综上所述,当采购的丝巾数量大于20小于100时,方案一更划算;当采购的丝巾数量等于100的时候,两种方案都可以;当采购的丝巾数量大于100时,方案二更划算。
2分类讨论思想在方程中的应用
方程的概念在小学中就有提到,所以初中学生并不陌生,但是方程的难度会随着课程的进度而逐渐提高,初中的方程不仅涉及到简单的一元一次方程,还有一元二次方程,二元一次方程组等,这些都是要求初中生掌握的内容。有很多学生在做题的过程中容易丢失解方程的题目的分数,原因要么是计算大意了,要么是审题没审清,还有就是没有注意到要分类讨论,导致得分不全。其实初中数学方程题里也会考到分类讨论思想,目的是考验学生的细心与否,有的题目要求讨论是否为一元二次方程,有的要求讨论根的情况。下面以一道例题阐述分类讨论思想在方程中的应用。
例如,已知方程(a-3)x|a-1|+x2-3=0是关于x的一元二次方程,且方程有解,求a的值。
分析:因为题目说的是关于x的一元二次方程,那么|a-1|的值必须小于或等于2,那么a可以取-1、3、0、2、1,下面依次进行分析。
解:因为题中方程为x的一元二次方程,所以|a-1|<=2,即a可能取的值为-1、3、0、2、1.
(1)当a=-1时,该方程为-4x2+x2-3=0,该方程无解,不符合题意,舍去;
(2)当a=3时,该方程为x2-3=0,该方程有解,符合题意;
(3)当a=0时,该方程为-3x+x2-3=0,方程判别式等于21,所以方程有解;
(4)当a=2时,该方程为-x2+x2-3=0,该方程无解,舍去;
(5)当a=1时,该方程为-2+x2-3=0,该方程有解,符合题意。
综上所述,a可以取的值为0,1或3.
3分类讨论思想在三角形中的应用
初中数学中关于三角形的题目也是非常多的,一些三角形题目中也会涉及到分类讨论思想,最为常见的就是等腰三角形了。通常是已知三角形的两条边长求周长,可以按照哪条边是底边进行分类讨论;或者已知三角形的一个角求其他两个角,可以按照哪个角是底角进行分类讨论。下面以一个构建等腰三角形的例子探究分类讨论思想在三角形中的应用。
例如,如下图所示,已知直线L1、L2和线段AB。求作:直线L1、L2上的点P,使△PAB是等腰三角形。
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQYAAADACAYAAADm880hAAAgAElEQVR4nO2dZ1Ac6Z3GveerrfP5yuc7h6tb+3xV3irflcu7dfZt1ZV3vd61z2l37V2tJa1XAZBAEiggoYQQiAwSQhkJoUBOApGRyBmGnKPIeUjDMDl393MfdG+bEUgiDMz0qH9V/UGaofvtnu6n3/cfvwIeHh6eZ/iKuQfAw8NjefDCwMPDswReGDgORVFQKpWYnp6GVCo193B4rAReGDgMwzCYm5vDgwcPcOLECdTV1Zl7SDxWAi8MHIZhGExNTcHf3x9bt27F7OysuYfEYyXwwsBxRCIRXF1d4ejoCI1GY+7h8FgJvDBwGIZh0NfXh3379iE6OhoMw5h7SDxWAi8MHIaiKOTn52P37t3o7Ow093B4rAheGDgKwzDQ6XS4ceMGdu/ejcnJSaPPeHjWAy8MHIVhGIhEIhw/fhzBwcFQqVRgGAY0TUOv1/PiwLMueGHgKBRFob29HX/605+Qnp4OiqJAURRmZmbQ2toKnU5n7iHycBheGDgIwzDQarXIzc3Fhx9+iPT0dCiVSuh0OlRWVsLV1RUymczcw+ThMLwwcAyGYUBRFLRaLSoqKmBnZ4eioiJoNBrQNI329na4uLjwwsCzLnhh4BAMw0AikaCpqQlisRhSqRR9fX1QKpWsfaG9vR3Hjh3jw6N51gUvDByCoihUV1fj97//PQQCwbKft7a24vTp05ibmzPDCHmsBV4YOITBYEBVVRU+/PBDVFZWLvmcoihMTEygqKgIYrHYDCPksRZ4YeAQLxMGYn/Q6XSgKMoMI+SxFnhh4BAvEwYeHlPBCwOH4IWBZ7PghYFD8MLAs1nwwsAheGHg2Sx4YeAQvDDwbBa8MHAIXhh4NgteGDgELww8mwUvDByCFwaezYIXBg5hbcJA8jtomjb3UHiegRcGDmFNwsAwDPR6PcbHxyEUCvnCMhYGLwwcwtqEYXZ2FkFBQYiJieFnDRYGLwwcwpqEgVSgIvUkeCwLXhg4hDUJg1qtRlxcHL788ku+UY4FwgsDh7AmYSAVqLKzs/lMUAuEFwYOYU3CwDAMb3C0YHhh4BDLCcNilx9N05x44AwGA+bm5iCRSMw9FJ7nwAsDh3hWGEhvibKyMqSmpiI/Px9FRUWYm5uzWHFgGAZCoRBeXl7Izc0193B4ngMvDBxiOWGYmZnBzZs3sWPHDqSmpsLd3R23b9+2yL4SDMPAYDCgvr4e27dvR0NDg7mHxPMceGHgEMstJRYWFhAcHIzjx49DJBIhJCQE+/btg1wuN/Nol8IwDKRSKUJDQ+Hs7MyXuLdgeGHgEMvNGEZHR7Fv3z4EBgair68PFy5cgL+/PzQajbmHuwSGYSCXy/Ho0SOUl5db7HKHhxcGTvGsMNA0jYqKCuzYsQPR0dEQCATIz8/H4OCgxT50JBTaEpc6PH+FFwYO8awwGAwGREZG4sCBAxgZGYFGo2Eb2jIMA7VaDYlEYhEiQcbT1taGqakpcw+H5yXwwsAhFgtDWVkZpqence7cObi7uxu5/miahkgkQnl5Ofr7+y0iD4GiKLS1tcHW1hZlZWXmHg7PS+CFwcJgGAYLCwsYHR1dsk1NTSEzMxM///nPkZCQgIcPH8LR0RHBwcFGnadUKhVSUlLg7OyMrKwsswsDmS0kJiZi165d6O/vN+t4eF4OLwybAGkEo9frQVEUa4Rrbm5Geno67ty5wxoT5+bm4OXlhU8++cRo++yzz+Ds7Izf/va3+OY3v4nf/OY3CAgIQFRUFJqbm6HVakHTNJRKJaampnD37l3cuHEDly9fNvt6nmEYiMViXL9+HTdu3DD7eHheDi8MGwhpVz8+Po7a2lqUlpZiaGgINE1jaGgIfn5+2LdvH7Zs2YKwsDAwDIP5+XkkJycjIiLCaLtz5w7s7Ozwj//4j/jKV76Cr3/96/if//kf2NnZITY2FnK5HGKxGGFhYbh27RpCQkJw/vx5FBUVmT0XgWEYKJVK1NTU4MmTJ2YdC8/K4IXBRBCD3+IWcSS1+PDhw7C1tYWrqytKSkrYB2VwcJBdJpBekyTEmfw92VQqFe7fv48333wTr7/+Ot59911kZ2djbGwMc3NzMBgMEIlEuHTpEhwdHWFrawsXFxfMz89Dp9NhcnISYrEYBoNhU5cW5LqQ41qCIZTn5fDCYCK0Wi0GBweRkpKC0NBQVFdXQ61Wo7OzEw8ePMDg4CAUCsWaH8rF0/Ef//jHiI+Ph1arNXrQiKjodDrMzs5iamqKbXTr5eWFkydPIiYmBnV1dZs2i2AYBhMTE8jNzeUb7XIIXhjWAXmzMwyDvr4+eHh4YMeOHfD390dDQwMMBgP7sJoiuWm5AKflIMcim1wuR1VVFS5evAgnJycEBARAJpNBp9NBJBJBr9eva1wvgqIo5Ofnw9nZGSMjIxt2HB7TwgvDKiEBOmKxGA0NDWhvb4dWq8XExASys7PR3d0NmUzGioIpWWvaNREIpVKJ6elpTE1NQafToaenB+fOnUN6ejrGx8dhMBhMOl7iYfH29mbFiIcb8MKwCsjDVVZWBh8fH+zatQvh4eFQKBRGM4ONwlT1GMiaf2hoCJcuXcK2bdtw8uRJdHd3m3C0T2dUg4ODOHr06AtnODyWBy8Mq4DkJnh6esLR0REpKSmYmJjYtPW6KQu1ECGTSqWora1FWFgY2traQNM0VCoVVCrVuh9kIqRPnjyBTCbjhYFD8MLwAhiGgU6nw/DwMHJyciAUCqHX6yGVSo2WC5t1w29EBSciEFqtFgaDASqVCkVFRbh69Srq6uqgUCjWvF+VSoXZ2VneG8FBeGF4AUqlEqWlpThx4gQOHz6M7u5us97gG13ajcRd1NfXw8nJCbt370ZcXNya9qXT6VBXV4crV65YZAo4z4vhheE5MAyD3t5euLq64tSpU+jt7TV7KvNm1HwkxtXBwUFERUXhypUrS7wcK9mHTCbDtWvX4OjoyEc6chBeGBZBlg5KpRIGgwELCwvo7+9njYvmZjOLwT4bxj01NYWmpiZIJJKXLg0YhsHw8DBcXFwQExOzoePk2Rh4Yfh/yFuuuLgYDx48YNumWdL62BxVoolYNjQ0YN++fbh37x7Gx8dfKgz9/f0IDQ3lQ6A5Ci8M+KsoPHjwANu2bUN0dDQWFhYsRhAI5hIGmqYhFotx9+5dbNu2DQEBAS8MiiK2ioWFhQ0NnuLZOHhhwNMbeWhoCCdOnMDt27ct1rVmzr4SJHW6oaEBOTk5Rpmiz35Pp9PxBkeO88oKw2I3nV6vh1KpRFdXF+bn5y1SFADzN5whdgeDwQCdToehoSFMTk6yEZNkplBbW4uYmBiLvY48L+eVFAYS+dfZ2YmEhAS0trauyupuLswtDIuRy+WIi4vD8ePHUVlZCZ1OB4ZhMDU1BVdXVwQFBVn0teR5Ma+kMNA0jZGRERw8eBB2dnac6W9gScJAURTGxsbg6+uLw4cPY2BgABRFoaurC/b29sjPzzfr+HjWxyspDHq9HhUVFbCxsUFhYSG0Wq25h7QiLEkYyKxreHgYN27cQHl5OXQ6Hbq6uuDr64vp6Wmzjo9nfbxSwrC4z+Ps7Cy6u7s3JAtyo7AkYQD+ej01Gg00Gg2kUikmJiYwNjbGFqFRqVQwGAwYHBxEQkICIiIiEBUVhZiYGERERCAxMRFDQ0NsCPXg4CAGBwcxNjYGlUpldByu/E7WwCsjDMSqPjg4yAbpmLvk2WqxJGEg11MkEkEsFkMqlSI1NRWHDh3CmTNncPDgQQQGBmJwcBAajQZFRUX47LPP8OGHH+IPf/gDdu/ejQ8//BCff/45iouLQVEUBgYG4ObmhkOHDuH06dOoq6tjXcl9fX0QCoWQy+VmL277KvBKCAOxlldWVuLIkSOor68395DWhLmE4dmQaIqi0NfXh5iYGHh6euLevXtoa2uDt7c33njjDfz0pz/FlStXUF5ezj7ICwsL6OjoQEtLCzo6OtDf34/W1lZ0dnayMSNyuRyVlZWIiYlBeHg4urq6QNM0WlpacOzYMZw9exZ37tzB8PAw6yqlKIqfTWwAr4QwGAwGNDc3w9HRERcuXOBswRBzCANN05DJZJiYmGDDw9VqNcLDw3H48GEEBwejoKAA9fX1sLOzg729PbZt24aCgoJVz8jIkoF0qiJ/r1QqUV1djfj4eFy8eBGVlZXQarWYmZlBbm4umpubMTU1taTUHc/aeSWEQaPRIDk5GadPn0ZPTw9nb57NFgbifrx58ybOnDmD4OBgdHd3g6IojI6OYnx8HEqlEmq1GrW1tbCxsUFDQwPy8/PR1dVlsutMDJ1arRZKpZIVjf7+fri7u8PJyQkeHh6oqakxWRm9Vx2rFgbyBjIYDJiensbk5CTn7AqL2Yy0a51OB6lUytphGhoa4OzsjPj4ePT390OpVC5ZWhgMBnR1dSEyMhI6nQ56vR4GgwFKpRJyudykD+ni42q1WoyOjqKsrAy3b99GRUUF9Ho9pqen0dPTA5VKtWx0Js/LsVphYBgGGo0Gvb29mJmZ4UQA08vYKGEgqdYTExNITU3FtWvXUF9fz677p6en2QCm5f6WZGFqNBr2OxqNBqWlpbh///6GhkeT45O+nTqdDgKBAMePH8ft27fR1NTEGXe0JWG1wkDTNDo7O+Hm5ob09HRzD8ckbJQwGAwGjIyMwNfXF3v27MGNGzcgFAoB4KViqtfr2dDoxd4CrVaLgoICbNu2DSUlJZtWk4G4opOTk2Fra4uTJ09iZmZmU45tTVilMDAMA4lEAl9fX9ja2qKzs9PcQzIJpiwGS5rYyOVy6PV6jIyM4ObNm6ipqWGXCyvZz8zMDHx8fJCYmGiUSUk+CwwMhLOzM0ZHR9c83tVAhEyn02FkZAQCgQAymQwKhQLNzc3o6+vjjZQrwGqFYWJiAu7u7njw4IHVTCVNJQx6vR49PT2IjIxEfHw85HI5KIqCWq1eVcAXRVFoamrCjh07UFxcbDRjILaH/v5+pKSkYGFhYc3jXQuLPRw0TUMoFCIgIADHjh1DQUGBRabVWxJWJwyLeyhUVFRgeHjYam4AUwgDTdMYHh7GuXPnYG9vj6SkpDVN84kN5/Hjx3B1dcXU1NRzU7BJc5vFNojNhIy1paWFbeGXlpbGGiat5f4wJVYnDKQkm0KhgMFg4LQX4lnWIwzEO2MwGNDS0oLw8HA2KnEtEK9AV1cX2tvbnxuNSMSho6MDDx48MGudBhKTIRAI0NnZCZ1Oh/n5ec7GtWwkViUMDMNgbGwM9+7dg0AgMPdwTM5ahGGxx4E8DGq1GlKpdN0Rg2S58KIOVkQYKisrsXPnTlRUVJg1pJlcD+LCvnPnDiIjIyGVSq3qJbJerEoYaJpGRkYGbGxsUF1dbe7hmJzVCgNZUlVWVsLLywthYWGQSCQmmT5rNBp0dnZicHDwpWOgaRoTExM4deoUvL29N93e8LxxSSQSxMTEYN++fbh27Rp6e3v5PIz/x2qEgTwEQUFB8Pb2tsrOyqsVBpqmUVNTA1tbW5w5cwYjIyMmeSsyDIOBgQEcP34cmZmZK/q+VqtFYWEhvL29MTExse4xmAISp9HQ0IATJ07g0aNHJu/fyVWsShgkEgnu3buHkpISq5wWrlYYKIpCeXk5rl+/btK3IUVRePToEXbv3r3ifpcMw0AsFuPJkydQq9UmGYcpIEud/v5+CIVCUBQFuVxuNZ6stWJVwqDX67GwsAC1Wm2VluaXCQOZts/OzqKzsxNyuZyNVTDlFFmj0SAyMhJBQUGQSCQr/jvyEI6NjWF2dtZk41kvZGlFrt2dO3eQkpJikv6dXMUqhIGUN3/y5IlVrxFfJAwkaIkkPbm5uWFkZGTDxtHe3r7qWQjDMFhYWMC9e/fw8OFDi/utSFDWxYsXsX37dqSlpbHFYl41rEIY1Go1MjIy4Ovra9VrxJcJw8zMDO7cuYOtW7ciJibG5K7BxUlTpHz8av9eJpMhKioKLi4uFmkHMhgMGBgYQFBQEBwcHKwmana1cF4YGIbB3NwcfHx84OPjY3FvIVPyImGgaRrd3d3w8fFBcnLyhkyDGYbB/Pw8CgoKoFQq17QPUjDW1tYWxcXFJh2fqaBpGnNzc6isrIRIJLK6eJiVwHlhoGkaHR0dcHJyQkZGhlWvCZcThsWp0iqVCiMjIyZPdSaQIrqOjo6Yn59f0z6IETI2Nha1tbUmHqHpoGma7WPa3t7OVsF+VbAKYWhvb8etW7cwNjb2SgkDcdGWlpbizp07UKvVG1bmjCwD7t+/D09PzzVb7YktRCwWsx2/LPU3W2xzOHnyJPr6+qx6RroYzgsDALYlmjXbF4ClwkBRFOrr67F//34EBgaueXq/EhiGwfT0NC5duoTS0tJ1P8xarRb9/f1srQxLhMzG2trasGfPHpw/f94i7SIbAaeFgSTHCIVCi/KNbxTPCsPCwgIuXLgANze3DY/aI7OT1tZWzM7OrjuUWiQSISQkBElJSRY9RSfBWfn5+fDy8npppKe1wFlhIHELAoEArq6ur8QP9qwwiMViREVFQSAQbOjDRa41mZWtd/rPMAykUimCg4Nx5MiRTSvislYY5mnPi8nJSahUquc29LUmOC0MMpkMd+/exeHDhyESicw9pA2HCMP777+PgoICdgm10VF6NE1jfHwcKSkpJrvOGo0GKSkpsLOzW3OGpznQarWoq6tDZ2enVdsbOC0MU1NTOHHiBPz9/S3+rbNeyFsrLS0NP/rRj+Dj4wORSLThxjty3IyMDBw4cMBkQVMURWFwcBCRkZFGlZ8sGZJbcfXqVfj5+Vl1ujanhWF2dhYhISHIz8+36mkd8NRVWFBQgA8++ABf+9rX8Ic//AH9/f1GdRbIZsprQRoAHzp0CDdu3DCZAJNAKYVCwZk3L1lS5efnw8bGBtnZ2ZwZ+2rhtDAYDAZIJJJXImxVqVQiICAA3/jGN/C3f/u3ePfdd9Ha2gqVSoWBgQE0NDSgo6MDnZ2dmJubM2nCVG9vL/z8/NDe3m6SfRIY5mmbu+npac4IOwmou379Ojw9PTfUE2ROOC0MJD+CK1PR9aBWqxEWFoYf/OAH+Id/+Ads3boVfX19WFhYYCsix8TE4NKlSwgODjaZLYDYckhPCVNC0zT6+/tx7949zriayQtpdHQUtbW1VltYlrPCQKbWp0+fXnMUHpegKApDQ0Pw8PDA22+/jdjYWKhUKshkMty5cwd79uzB4OAgkpOT8dlnn6G5uXndx2QYBgqFAjMzMxvy4FIUhcbGRhw4cIBzxmNSaHZ+ft4qC8tyVhg0Gg0SExPh4uKyqtRfS4a8jZYrqiqRSNDS0oL09HR88MEHKC8vB8MwEAqFOHXqFM6cOYP+/n7cvHkTR48exeTk5LrHQ1EU6urqEBISgrm5uXXvb7n9NzQ04KOPPkJLS4vJ97/RqNVqpKen4/79+1ZXv4GzwiCXyxEYGIiTJ09aRXATTdOYmZlBa2vrkjLsWq0W2dnZ8PDwQHJyMhvHQNM0qqursWXLFri7uyMuLg5hYWFobW1dd1wDiTUICQmBj48PFArFek9xCWQpcfbsWfT29pp8/xuNVqtFeno6vvzyS6vLwuSsMKhUKsTGxuL+/fucd1WShzA+Ph6+vr5GNhOapjE6Oorjx4/jypUrKCwsNAqJTk1NhZ2dHZqamthpLckGVKlUoGkaGo0GMplsVbYYmqYxMDCAgwcPIikpaUOs7yRydWpqipO/IU3TGBoagouLC8LDw63KQ8FZYaAoCtPT05iamuL8D2IwGFBdXY3PP/8cDg4O7AO8OLrTxsYG5eXlqKysxIcffoiKigpIJBIEBQXh5MmTRmt0svQoLy+HQqFAQ0MDkpOT0d7evqpmMsPDw7h27Ro6Ozs3bA1N0zTUavVze2NaMsQGk5ubi+TkZE6K2/PgrDDQNA2JRMJm6HERYlMYHh5GSEgIfve738He3t5IGCiKwtjYGLKzsyGXy9mQ6KKiIrS2tsLHxwfx8fFGU32Si5CamorJyUncv38fUVFRuHPnzopEdHGbN7FYvGE3PHmwHj9+jLq6OovOmVgOUg5OpVJhYWEBGo2G8y8pAmeFQa1WIycnB42NjZz9MYhdISIiAvb29vjss89w4cIF9gEhN51CoYBSqTTKlSgvL4dEIsHY2Bjm5uaMvAakoEpGRgb6+/sRGhqKuLg43Lp1a8XCIJVKIZVKNzyqcmZmBqdOncLdu3c5+8YlM7TKysoNMdKaA84Kg0wmM1kK8GZD3shqtRrFxcW4du0a/Pz88Je//AW5ubns52KxGImJiUhLS8Ps7Cx0Ot2Segyk/sLia0Ae7Ly8PPT09KC4uBh3795FSkrKS68VGVd6ejoKCws3NEaEpHIfOXIEN2/e5Kxln5TTd3NzY38XrsNpYQgODkZVVRXnfgjiaWhpaUFCQgK6u7tRXFyMffv2IScnhzUeVlVV4T//8z/xzjvvwNvbG3l5eYiJicEvf/lL1l253LmTJYhMJoNKpYJKpcLs7OyKakCSEOgjR47g4cOHGxp4RN60oaGhSE9P50yQ07OQmY+3t7fVlBfkrDAoFApER0ejpaWFk8KgUqlQW1uL0tJSLCwsoLm5GZGRkairq4Ner4darcaDBw/w61//Gu7u7jhz5gx2796NrVu34u2330ZUVBQmJiZMbrQzGAwQCATYtWsXGhoaNvzaEhuKUCjk3O+4GI1Gg8LCQri5uXFW4BbDWWEwGAwQCoWcND4uNlqpVCoYDAao1WrI5XK2PJtcLkdycjJu374NkUjEGiA9PT3x/e9/Hx9//DFOnDiBtLQ0tLS0YHJykm35vp7rodfrUVtbi5s3b25KKzli5DR18tdmQ0rjV1VV8TMGc0LTNJRKJRQKBadvqOUgbsrR0VGMjIywSwaNRoOSkhL813/9Fzw9PeHr6wsbGxvs3bsXHh4eePz4Mbq7u1lPwmpv0MUZj6TH5UZCZk7V1dVWUU+RLBGJQHMZzgoD6SWRnJxsdUlUxLevVquNXHjEK/HBBx+gqKgI09PTKC0tRVRUFDw9PWFra4tDhw4hODgYpaWlGB4eXpVA6HQ6DA0NYXx8fKNOzQiapjE1NQVfX18UFBRw/mEiCWd1dXWcz9/hrDDIZDKcOXMGzs7OVhESvRiFQoHMzEwIBAKj/1+uSjQpc076IJCKVnv37oWjoyPi4uJQVlaG0dFRqFSq55YkYxgGo6Oj8PT0RHR09KacJ6nw/cknn6C4uJjzMz8SLbpnzx7WOMxVOCsMcrkcAQEBcHFxsap6DAzDYHJyEidOnEBERITRZy/rRGUwGCCTyTA4OIiioiIEBwfDwcEBtra2cHV1RWxsLLq6ujA/Pw+tVmv0hqYoCkVFRfjiiy+QnZ29KedK0zRaW1vx0UcfoaqqalOOuZHQNI3JyUk4OjoiJiaG0zNZzgqDRqNBUlISLly4YFXFMmiaRnl5OXbs2LHk4V9pt2syixCJRKipqUFSUhI8PDywZ88eHDhwAH5+fsjPz2drLJB8ioiICJw4ccIkmZkrgURoPn78GFNTU5tyzI2ExI8EBATg1q1bnKpl+SycFQZSn6Cvr88q3EMEmqaRk5MDFxcXjI6OGn22UmFYDJlJiMVitLe3486dOzh9+jQcHBzg5OSEW7du4dGjR+js7ERGRgaKioo2LdCIeCSsqdiJwWBAQ0MDampq+BmDObDGmwp4el5DQ0MQCARLUp3XIgyL90uCnsbHx1FWVoaQkBAcPHgQW7duxZEjRxAUFISqqirMzMxs+HUlEZYNDQ2ora3lvOGRQDwTarWa0/clp4VBqVSiqalp06zoGw0xJmq12mUDl9YjDM8eR6/XY2FhAZ2dnYiPj8cf/vAHvPfee3BwcICnpydSU1PR2trK5mGYuvUdyee4dOkSrly5YjWzPiJ4AwMDmJ2dNfdw1gynhWFiYgIuLi6IioritDoTyMOSnZ2N4eHhJZ+bShgWQ9M0urq6sH37dty+fRsxMTHw8vKCvb09du3ahfPnzyMjIwMdHR2s0dIU15phGIyPj+PEiROIj4+3it8PeHpeIyMjcHd3x8OHD809nDXDaWGYnZ2Fn58fgoODreKNQ9M0Ojs78cknnyzrGdgIYdBoNMjKysLu3bshFAqhUCgwNTWFqqoqRERE4PTp09i6dSucnZ1x4cIF5OfnY2pqat2eIOLac3Z2Nkl9SkuBYRiMjY3h1KlTiIyMNPdw1gynhYE0QgkKClpRgpClQ9x3v/zlL5GVlbXk840QBplMhpCQEHh5ebHLF2KP0Gq1GB8fR1FREcLCwrBv3z7Y2NjAxcUF9+/fR319PYRCIbRa7apbtpEQ4vLyck5b75+FzPouXryIGzducHYmxFlhAJ56JoRCIRoaGqzi5iIzBkdHR7S2ti75fCOEQa1Wo6ysDNXV1csaAJ+Nj8jKyoKvry+cnJzg4OAAPz8/Nl9jbm5uxUY3YufQaDScfXiWg7ywcnJykJiYyNlz47QwLH6zWUOTUdLMpLS0dNnK16YUBjIzMBgMUKlUK7IdkHwNkUiExsZGxMbGwtXVFTt27ICTkxN8fX3x+PFjNsryeQZLEjrc19e3IUVmzQkxICuVSk4m+BE4LQzAX409LS0tnJ81EKF7Xn6DqYVBLBYjNzd3WUPnSv5er9djdnYWtbW1ePDgAQ4fPgw7OzvY29vjxo0bKCwsRFdXF9RqtVH2JEVRKC0thYODA7q7u9mHSa/XQ6fTsdmWXIT8hkKhEL29vbwwmAuappGXlwdXV1c2E5GrkAK3XV1dy4qcKd2VBoMBTU1N2L9/PxobG9e9L6VSieHhYRQUFODChQtwdHSEnZ0dnJ2dkZiYiMbGRkxPT7M+/ujoaNjY2GB4eJh1PXd1daG6uhqtra3o7OzkZEQria+pra3FpUuXOHs/cl4YGIZBc3MzHBwckJeXZ7E/BJm6P7st/lytViMvLw8+Pj6YmZlZslnYrkUAAB8FSURBVA9TCoNCoUBcXBwOHTpkMn87eSgWFhbQ1taGrKwsXL9+HQ4ODjhw4AA8PDyQk5ODsrIyHDt2DMHBwVAqlWwlp4SEBLi6uiI/Px+enp7IyMjgXPQgEcqWlhYcPHiQs4FbnBcGABCJRAgKCsLdu3ctVhhIYRaRSITZ2VnMzc1BLpezadXkrRkXF4ddu3ZhbGxsyT5MKQwzMzM4d+4c7ty5syHVmcnyQKFQoKWlBUlJSXBzc8OePXvwu9/9Dj//+c+RmprK2iGmpqbg6uoKPz8/dHR0sDkdXLRBUBSFjo4OODs788JgTrRaLZqbmzelFNlaIWMMDAzE+fPncf36dSQkJGB8fJydPSiVSjx48AD29vbLRnOaUhjkcjkKCwsxODi4ntNa0bFI85vx8XE8evQIHh4eOHv2LHp6egA8Fc3e3l7s3LkTZ8+eRWhoKI4ePYqSkhLOlZQH/tokKDw83GLvx5dhFcJAbj61Wg2pVGqRNxMpmfb+++/Dy8sLMTEx2LZtG2JjY1mPilarZa39y5VVM4UwEKOhTCbb9D4INE1jdnYWBQUFGBkZYQ2MGo0GOTk5+Oijj+Dj4wMbGxs4ODhwNuOS/Jazs7O8MJgbUmgkNjbWIguL0jSN7u5u/PrXv0Z0dDTa2tqwc+dO3Lp1y2g5oVar2TZzz2IKYSBVoLOzsze9B4JOp0NZWRn8/PyMhE8kEsHf3x/Ozs7o7e3F1atXsXXr1iXZpVyAvKTEYvGydiKuYDXCQNM0enp64ODggLKyMotb2xFh+MUvfoGjR4/i2rVrOHjwIGpqatixkiKw09PTyxrd1isM5E2WnZ2No0ePYmRkZL2ntapji0Qi+Pn5wcPDg7UdkGhPOzs7BAYGorq6Gu7u7jh+/Dgnu5iTJWFqaipu3rxpcS+olWI1wkBCUc+cOYPz589DJpOZe0hGEGH44IMPcPr0acTHx0MgELAxC1qtFkqlEgKBAIGBgZienl6yj/UKA6kw5OXlhVu3bm1qSTwS1Xnw4EEUFhYaLZ+ysrKwd+9eHD9+HMHBwYiJicGTJ084+VCR+JCzZ89iy5Yt635BkbD0ysrKTRVyqxEG4Ok6Pi0tDefOnbO4aRx5MH71q18hMjISEokEOp2OjV0oLy9HU1MTqqqqsH//fjx58mTJPkwhDAMDAwgICEB7e7spTuulLA5eEgqFKCsrM1pG0DSNubk59Pf3o7+/HyMjI5BIJBY341sp5AXl5uaG7du3r/s8ZDIZsrOzsWPHDpSVlZlmkCvAooSBWOdpml7zNjc3h9bWVsjlcraOgCVsOp0O9fX1+Pjjj3Hz5k1IJBJQFAWpVIr09HT4+/vj8uXLyMrKwv/+7/8iMzNzyfj1er1Rt+vVHJ+iKIhEIlRVVSEpKQlzc3Obct5arRY9PT2oqalBd3c3W5DW3L/HRm16vR7t7e1wdHSEi4vLqs/12fgW4qn6/PPPrX/GQFEUG0u+eFtYWEBfXx+amprWtdXV1eHRo0dIT0+HQCBY9/5MsdXU1ODBgwfw8vLCtWvXUFBQgMbGRlRUVCAwMBBbtmzB9u3bceDAAXz3u9+Fra0tysrKjPbR0NCAiIgIvPPOOwgPD1/18QMCAvD+++/j008/RVpa2oafc2NjI/Ly8vDnP/8Zb7/9NrZv346cnByz/xYbuZWUlMDOzg4/+MEP8Omnn7IzwZVsbW1tmJ2dBU3/dZYhFovh5+eH/fv3b2rT300XBlIw89GjRwgPDzfa7ty5Aw8PDzg5Oa15O3DgALZv346f/exn+PGPf4yPP/4Y9vb269qnKTZHR0fY29vDzs4Oe/bswb59+4zG+9Zbb+E//uM/8K//+q/46le/ijfeeINNTlq8jy1btuCNN97AZ599tqrj29nZ4Uc/+hG++tWv4utf/zp++9vfbso5f/nll/jnf/5nfOUrX8G3vvUtbNmyxey/xUae71/+8hd84xvfwGuvvYbvfve72LZt24r//tSpUygtLWU9UgzDoLe3Fw4ODrhx48amPqdmEQa5XI6ysjKkpqYu2ZKSkpCYmLjm7d69e/jss8/wta99DX/zN3+DH/7whzh//vy69rnRW0JCAqKiouDm5oYf/vCHeP311/GjH/0IV69eNfpefHw8fHx88OMf/xje3t6r2v+NGzfw1ltv4e///u/x5ptvwt3dfVPO6/Lly3jzzTfxrW99C3/84x8RHh6OuLg4xMbGslt8fLzZfwNTne+lS5fwne98B6+//jreeecdXLlyZcV/n5aWht7eXnbGQFEUSkpKsHPnznXls6wFsywliK/XYDCYfJNKpYiIiMDbb7+Nb3/72/jNb36Dnp6eDTmWKTedTofBwUH4+vri3XffxY4dOzA6Omr0Ha1Wi4qKCnz44YcoLy9f8b71ej26u7uxZcsW7Nq1CyEhIZient7wc9Lr9ZiYmIC/vz/OnTuHqqoqyOVydHR0oLCwEBUVFaiurkZnZyebgcnlTa/XY3p6Gra2tnjzzTcRHh4OmUy2qn0stjPodDpERERg586dmx7TYVHGx9VA0zRkMhkmJycxOTmJ+fl51so/MTGBmJgYBAYGIiIiYtMDedYCiUgUCoW4cuUKnJycloRFGwxr80rQNI2+vj74+Pigrq4OUqkUBoMBEokE09PTmJ+fh0gkMqk3gBhctVotu3+dTge1Wo2cnBzs3r0b9+7dQ1paGoKCgjidokwg7tcbN27g888/x9DQkFFULtmebfbzvH2JRCK4uLjAw8ODre1AslMNho1NS+esMGi1WqSmpsLe3h5+fn4ICwtDXl4eW0Fo8YxEq9VienqazeSzZCiKQmFhIfbu3Yve3l6jz9YiDIuTmcbGxtjrI5PJEBsbCxcXFyQlJSEyMhLnz5+HUChc9znQNI3+/n7k5eVBJBIZjUWj0SAvLw+7du1CX18fOjo64OjoiNzcXJOJkjnR6XRIT09HZGQk28xnfn4eKSkpyM/PR2NjI3JycjAwMPDC0H2KotDT04OPP/4Y0dHRUKvVUCqVaGtrg0AgQEtLy4ZmnnJWGEjnpE8++QS5ubmIiorCnj170N3dbfQ9hmEgFAoRHR2NpqYmi8yjWAypfh0dHY2JiQmjz9YiDBRFYXZ21qgYCzEAh4aGYs+ePejo6EB2drZJCsDQ9FOX8Y0bN+Dr62sUT0KOGxYWhkOHDqG/vx9xcXHw9PREX1+fxYv2SiBxKTMzM6wLcmRkBHv37kVoaCh6enrg7u6O69evvzBzVK/Xo66uDu+99x4uXbqEubk5SCQSNDc349GjR7h+/TqkUumGnQdnhUGlUiEkJAR79uxBf38/0tPT8cUXX6ClpcXoewzDYHp6GleuXEFAQAAnElsMBgNEItGScmtrEQa5XM4aHwkkzfnkyZM4evQohoeH8fDhQ2zbtm1dFZtJOPCjR49w5MgRlJaWGnW1YpinfTmPHz8ONzc3VFZWIiUlBa2trdDr9Ut8+Fxjcak8Yiug6adBZXZ2dsjIyIBIJIKvry+8vLxeGJ1LURSGh4cREBCA7OxsKBQKaLVaSKVSlJeX4969exuaks5JYSAluvfv3w87OzuEh4fj9u3bSE9Pf27lo/r6eri4uCAjI2NT/cFrgRiepqenjapfr1YYGIbB8PAwjh8/jtu3b7P/T1EU6uvr8dFHH+H48eN4+PAhQkNDUVRUtOYwafJQKxQKPHr0CElJSUuus8FgQElJCb744gvU1NRAJBJBpVKx5ysSiThbJ5GcQ0dHB/Lz81mh02g0KCoqwh//+Ec8fPgQxcXFbMevl81eKYqCQqFg96XVatHX14eKigr09/fzS4lnoWkaFRUV+PTTTxEaGorMzEy0t7dDLpcbRU4SiIu0pKQE2dnZm5ojsBaI4SkyMhICgYA9l9UKA03TbIi1QCBg/1+n0yEzMxM2Njaoq6vDxMQEJiYmoFar2doJqy0Fr9frMT8/D41GA4lEsiQBimGelou/fPkytm/fbmTLIDON5uZmtLS0cFYYxGIxbt68iatXr7Kl+Ofn5xEcHIwvvvgCWVlZKC4uRm9vL2vvWi7acTlomsbExAQiIyORlJSEtra2Da1xyjlhIMqcmJiIHTt2oLOzExqNBgbD02KjKpUKExMTRkYv8ncajQYKhQI6nQ5isZj9G0uDYZ5Wiw4MDMTFixfZ5i5rEYbGxkbcu3ePXesTw2NwcDCOHj0KqVRqVGpuYWEBlZWVKzYEkulzb28vQkNDMTo6uuyNbjAY0NPTg1OnTuHo0aNskRayD41Gg7q6OiQnJ3OyahMxuO7btw+ZmZmsAbynpwd79+5FREQE1Go1WwNDp9Nh5P+LGBN7xMv2Pzc3h6qqKlRVVWFgYGBDZ76cEwZygUJCQnDs2DH2RiSf9fT0ICws7LkPDnkbJyYmorm52SKb4pIHJSsrC05OTqwPezXCQG5MhUKBhYUFdtpK0zQGBwdx7Ngx+Pn5GS1VGOZpd6/MzMwVG2lJ1/GQkBC4u7tjcnJy2e/RNM32yuzu7oZYLDY6rkwmQ35+Pi5evLipOQGmQqfTQSAQ4MyZM5ibm2OXVcnJyfj000+Rk5PDfpfMYDMzM3HmzBkUFxdbnFGck8IwOzuLwsJC5OXlYX5+nn2wGYZBd3c3QkJCkJSUtOwDTwqP3r9/H8eOHUN9ff2G+4TXAk3TePLkCS5fvsyWX1upMJCp/cTEBMbGxozeRhRFYXJyEhkZGSgtLTVqNUdEMzs7e0Ut6BbXHvDz80NjY+OariVN05iZmUFGRgays7ONRIMrGAwGdgZAZkwSiQRpaWm4ePEiGhoa2O+SWdbIyAiio6PR2tpqcS8nzgkDWZeRGIXF01ZS5LSsrAwZGRnPFQaaflqT7/Tp07h69apFtrcjSyaxWAy1Ws2e80qFYWZmBleuXEFcXJzR22i567f4M5FIhOTkZPT3979w/6T/hVqtRmtrK548ebJmgSVv176+PkgkEot7SF4GmfGIxWKjalw0TUOj0UCtVi8xFNI0jbGxMSQmJlpkQRrOCcOLIG645ubmZYupLkav16O3t5c14mg0GotbVpBSb729vZiYmFixMBgMBtTW1mLnzp0oKipa8TkRG01nZ+dz61kQ63h3dzdqamqgUCjYUN5XEbLsy83NxePHj43csy+CpmlMT0+jqqrKImesVicMer2eta6/7LsURbHhqlVVVSgtLbUodxlZ84eEhCA6OhparXZFwqDRaJCYmIj9+/cvW1T2ZcfU6/XLPujkIWhsbMTJkydx/fr1Ve/fmiCzgqGhIRw4cAD3799fsaeALCcs1UNmVcKwVtRqNZKSkmBnZ4e7d+8a2S3MCZmihoeHw9bWFj09PWyhlhcJA0m2ys7ONunbiHgWDh06BFdXV3R1dVmc0WwzITOs9PR07NmzZ8NL8W8mvDDg6bRufHwct27dgr29/arcdaaCTNFVKhW7kR6OpAN2UlISysvLXygMxDYhkUjYuA5TjI3YJLq7u3HlypV12RSshcUBXfHx8RYfOLcaeGHAX6eEMzMzyM3NRU9PD/R6PcRiMRQKxabMHvR6Pdra2pCamory8nLk5ORAIBCwLseCggIUFxe/UBiITaK9vX1NjWqX259er8fY2BgaGxtZP/zs7OwrPVMA/hrpqdPpIBQKWReltcALwzIQV1N0dDSSk5MhFArZqsYbhVqtRnJyMg4cOACBQAB/f384Ojqy2ZA6nQ5SqRR5eXn44IMPlhUGkrDj4eGBwsLCdY2H2BOamppw9uxZBAYGctKNuFGQF0lHR8eKXLtcgxeGZSDCcPfuXRw8eBChoaGsOGwUUqkUV65cwZEjRyAUCnH16lXY2tqyHZ+JC9Lf3x/vvvvuEmEg4lFaWordu3evuwo0cen6+/vj9OnTqKiosKqp8nogtgUSv2FpFclNAS8My0CWFiTYJyAgAIWFhWwhmMWVdkx1vL6+PuzduxenTp1CVVUVvL29ERMTw67jSeLYvn378JOf/ARxcXFGNgQSbJSeno7AwMBVW7vJskEikWB+fp4teJOcnIzh4WE29v9Vh3iz+vr64ODggOvXr7PibU3wwvACyHR6fHwck5OT0Gq16O3tRUVFBcbGxqDRaEzysJCkMBsbG4SGhiI3Nxc5OTlsiXfiVh0bG8PBgwfxT//0T/j973+PkpISI2HQ6XTo6elBY2PjqpOg5HI5BAIBIiIikJ2dzQZBWeM0eT0QO052djYOHTq0pJiOtcALwwohIpGdnY39+/cjMDAQZWVl646aJN6IxMREHD58GD09PZBKpWz/BbFYjNHRUUxNTaGtrQ2/+tWv8Nprr+E73/kOvL29lwgDCdRa6bHJ8evq6nDo0CG4uLggPz+fnx08B7KMqKqqQklJyYamPpsTXhhWCHmISJKRl5cXfH19MTg4CL1eD6lUyi41VrNPvV6Prq4uHDhwAOfOncPCwgL7UBoMBhQUFCAoKAh3797F0NAQ9u7di7/7u7/DT37yE9y+fZttcSeVSlFaWvrCiE+yRCIp0gMDA6xrVCAQID09nT0fXhiMIUsIkUiEiYkJowYx1ggvDKuEvGHHx8fR2dkJmUyGubk5pKWloby8HL29vawnYSX70mg0EAgE8PLyQlRUFMRiMfu3er0eqamp2Lt3L1vxJzo6Gj/84Q/h5uaG3NxcVFZWQi6Xo729HYcPH0Z9ff1zj0fTNCQSCerq6hAREYHLly9jZmaGdYlaWki4JUGyeuPi4pCVlWX114kXhjVC3r4k8ej+/fvw9vaGp6cnKioqoNVqodVqIZfL2bf6s3UKyD5UKhXm5+fZ6s2LZwxlZWUICAiAj48PNBoNysvL8f777yM7OxsZGRmwt7dHVVUVUlJSsHfvXrZ2IglKksvlmJ2dhVKphMFgQFdXFzw9PeHv74/k5GSLTCCzNIgNJicnB/v370dlZSUvDDwvh9w4bW1tSE5ORmlpKTQaDZ48eYKYmBg8fvwY9fX1bPsxYth72c1FaiekpaUhMzMTer2ezZUoLy/H0NAQnJyc4OzsjMuXLyMsLAxKpRIURUEoFKKqqgqRkZEIDg5Gc3Mz63uvrq5mx2LtN7gpIOn8586dQ3x8vFV6IZ6FFwYTQd7+pMw3TdPo7e1FUFAQjh49igMHDiA3Nxc6nQ4ymQxdXV0QCoVsnUMiGMSAqNFooNPpoNPpMDc3h/n5eSiVSpSUlOCDDz5gZyVZWVnYuXMnPD09kZiYyPbXqKyshLu7O06fPo1bt26xPQ6Il4NnZZCZ19DQEFJSUkxSXp8L8MKwQRDD4tTUFOrq6pCQkMBWjBobG8P169cRFBQEX19fREVFQa1WQ6FQoLS0FMnJyXj48CHKysqg1+uh0WjQ0tKChIQEeHt746233kJUVBQkEglycnLw6aefYtu2bTh58iTa29thMBgwOTmJ6upqDA4OsrMInpWzOBy8s7OT7U/yqqSX88KwyZDEm+bmZmRnZ+PixYu4f/8+1Go1ZmdncfHiRdjb22Pfvn24ePEiNBoN5HI5kpKS8NFHH+Hf//3f2aa01dXVyMzMhJOTExITExEREYGMjAxO1ky0NEgNR29vbwQGBr4ygkDghcEMLHYbLiwsYGFhgfUYJCUlwdvbG+fPn0dERASmp6ehVqsxPDwMX19f/Mu//Atee+01vPnmm3j8+DFSU1Nx+PBhPHnyBPHx8axxzFr965sBSXcnfSOfVw3MmuGFwUIgM4mHDx/iz3/+M65evYrAwEB4enpicHAQFEWhs7MTO3fuxDe/+U386U9/QmVlJc6fPw8/Pz9IJBL09PTgzJkzOHLkCAYGBsx9SpyELCG6u7sRFBTE9trghYHHLBDPRmxsLJycnNDd3Y2EhAT8+te/Rl1dHZsLkZKSgnfeeQdxcXHo7e3FmTNnkJOTA4qioNfr0dHRgdu3b6Ovr4+dlbxqN/VaIEZGEnUqFovR399vsRWWNhpeGCwEhnnaY/P48ePw9vZGT08Prl69Cnd3d4yNjQFYWiVaIpGgoqICMzMzRrELUqmUbWfW3NwMsVj8yq2RVwO5boODg4iNjUVPT8+SmJNXDV4YLASKotDa2oovvvgCCQkJqK+vR1ZWFsbHx40eeiIMBQUFbCzCcpBahIcOHUJYWBiEQuErfaO/CIqi0N3dDQ8PD7bJ76sOLwwWgkajQVpaGuzs7DAyMgKZTMa2iiMZfaRL1Pvvv4+wsDBER0c/N/uR1JS4efMmduzYgYiIiA1tacZViKExNDQUNjY2yMrK4q8TeGGwCEhylre3N+zt7Y0qLxNRqKysxOPHj1FSUoKf/vSn+PLLL3Hw4MEXuiZJcZfExERcvXqVLfX+qtsdiFdIoVBArVZDJpPh0aNHKC4ufiWiGlcCLwwWAImS9PLywrlz59gc/8VRd76+vvD390dBQQG+//3v42c/+xnCw8Nf+oCTRK3Z2Vm2W7JAIIBUKn0l7Q6L6zQ+fPiQ7QJFUdQreT2eBy8MFgBxVY6NjWFsbIxNbCKzhZqaGnh4eMDNzQ3Z2dn4t3/7N3z55ZeskWylx1CpVMjJycGpU6eQkpKCqampV+5h0Ov1aG9vR0hICA4fPvxKJEStBV4YLBgyY5icnERaWhrCwsIQExODt956C9euXWNTtMn39Ho99Hr9ktZ9ZF+kXF1mZiZOnDiBu3fvslWwrTWhanE1Z4PBgIWFBdy7dw/Hjh1DbW2tyUrsWxu8MHAAEuPQ0tICJycnfPvb38YXX3yBpqYmdlbR1taG0tJSVFVVob29HRKJZNn8CDJzIF4PpVIJrVbLGjytKaeCBCuJRCI0NzdDKBSyWa9Pnjx55WZLq4EXBo5AURRaWlrw7rvv4rXXXsP3vvc9XL16FTRNY35+HleuXMHnn38Od3d3BAYGIi4uDnNzc8vui6ypVSoV2z2cdAgfGBhYcWk4S4TMEEhAWGtrK+7fvw9/f3+0trYaVV7iZwrPhxcGjkDiHH7xi1/g9ddfx09+8hNERUWBYRhIpVKEhITAzs4O9fX1uHXrFn7729+uqIQ8mY1kZGTgwIEDcHV1ZVu5kxRtLjxAi/NPVCoV9Ho9Wltb4ebmhsOHDyMzM5OTnbTNBS8MHIHMGN577z1873vfg4eHByYnJ40iJn19fdHb24tLly7h6NGjGB0dXdG+ieeioaEBMTExaGpqgsFgwPT0NHp7ezE/P2/RLk6ynBIKhWhpaUFlZSVkMhmEQiGKiorQ2dnJuyFXCS8MHIGmafT19eHLL7/Ef//3f6O4uJgtK9/W1oatW7ciPDwcAoEA4eHhaGtrYx/mlT7QpPO3VquFUqnE48eP4eXlhbCwMDQ1NbHJRIuNlZstFouPT8agVqtRVlbG1reIjY1l3bGkBwjP6uCFgSMQl+aDBw/wy1/+ku1EpVarjbotLywsQKFQsNWkpqam2AjK1RxLq9Wiu7sbDx8+REBAAG7duoWpqSm2pP3w8DBmZmagVqs37cEjhlOhUIje3l60trZCLpdDKpUiISEBwcHBKC8vx/z8PC8G64QXBg5AysPPzMygsrKSTaKiaRpCoRA+Pj44dOgQGx5NHuz29nbExMSgo6NjTd4Gsp/p6WmMjIywTW0bGxsRHByMW7duIS8vj3V56nQ6yOVyaDSadQUMLTaOktBwmqah1WpRXV2Na9euwd/fH4GBgZiYmIDBYGDL31mTV8Wc8MJg4RDjYkJCAtLT01FWVsYKg0KhQF5eHo4cOYJTp06xNgViM2hubkZkZCQKCgpM4mkg8RJjY2N48OABLl68CC8vL8zNzcFgMKC9vR3Xr19HWloaW/yWvOUnJycxPDyM0dFR9o1OIhDJ/5Pvq9VqtLa2IiYmBsHBwSgoKIBKpYJcLkdaWhpCQkKQmZmJjo4OviDNBsELg4VD0zR6enpga2uL5ORklJeXs8JAfPKNjY1oaWmBSCQy+jupVIri4mJUVFSYPDGIpHeTBjV6vR6NjY04deoUTpw4AU9PT9TV1YGmaQwMDODmzZtwdnbGiRMnkJycDI1GA6FQiKCgIBw5cgQ+Pj5ITU1l80ZCQkLg4uKCM2fOoKysDGq1mj3mZi5fXlV4YbBgyFQ+Pz8fe/fuxdDQkFE9hhf9nV6vx5MnTxAbG4va2toNt8ov9gz09fWhpqaGDbkWCoVITEzEqVOn4OrqipSUFGg0GkxNTeHSpUs4efIkbt++jerqajb+oL29HaOjo5iZmeEb4ZgBXhgsGCIMtbW1ePjwoVFfiZUIw/j4OJqamjY1J2JxgNGzG/EkLPZoPPvvxRuP+eCFwYIhRji1Ws12qVqJMPDwrBdeGCwUYugbHh7G0NAQDAYDLww8mwYvDBYKwzCYnp6Gv78/EhISoNVqeWHg2TR4YbBQDAYDqqursW3bNpSUlICiKF4YeDYNXhgsEGLhT0tLw9mzZzE3N7ekGCwvDDwbCS8MFggJUKqrq2P7VwJLy8fz8GwUvDBYIEQYVCqVUWASLww8mwUvDBaIQqFAUVERhoeHjf6fFwaezYIXBgtELBbj5s2bqK6uNvp/iqLQ1NQEGxsbNDY2mml0PK8CvDBYIAaDAbOzs0t6RpCEpLGxsec2muHhMQW8MPDw8CyBFwYeHp4l8MLAw8OzBF4YeHh4lvB/h3khoYaAg48AAAAASUVORK5CYII=)
分析:已知线段AB是等腰三角形的一条边,要想△PAB为等腰三角形,需要分成两类:AB为底边;AB为腰。而第二类又可细分为:A为顶角;B为顶角。
解:(1)当AB为底边时,作线段AB的中垂线,分别交直线L1、L2于点P2、P1;
(2)当AB为腰时,以点A为圆心,AB为半径作圆,交直线L1于点P4、P6,交直线L2于点P3、P5;以点B为圆心,AB为半径作圆,交直线L1于点P8、P10,交直线L2于点P7、P9。
所以综上所述,P1,P2,P3,……P10即为所求的点。
4分类讨论思想在圆中的应用
关于圆的性质是非常多的,所以在圆有关的题目中通常会涉及到分类讨论思想。在做这类型题时,一定要画好图,一个好的图形对解题来说是非常关键的一步,另外在做题时一定要细心,注意可能出现的所有情况。
5结束语
综上所述,分类讨论思想在初中数学中的应用是非常广泛的,除了在上面四种方面有应用外,还在二次函数上有着较强的应用,而且难度极高。但是如果掌握好了对数学的学习起着很关键的作用,所以学生教师一定要做好指导工作,在分类讨论的时候,引导学生进行自主分析,锻炼学生的分析思维、逻辑思维。
参考文献:
[1]吴海华.分类讨论思想在初中数学解题中的应用[J].2012(8).
[2]柏辛.分类讨论思想在初中数学解题中的应用[J].2015(12).