绪论 单元测试
1、单选题:
绪论中没有提到哪位数学家
选项:
A:高斯
B:柯西
C:莱布尼茨
D:牛顿
答案: 【高斯】
第一章 单元测试
1、单选题:
函数在某点连续的极限存在的()条件A 充要条件B 充分条件C必要条件D 无关条件
选项:
A:无关条件
B:充要条件
C:必要条件
D:充分条件
答案: 【充分条件】
2、单选题:
下列各对函数相同的是
选项:
A:
B:
C:
D:
答案: 【
】
3、单选题:
选项:
A:A
B:D
C:B
D:C
答案: 【D】
4、单选题:
选项:
A:D
B:A
C:C
D:B
答案: 【A】
5、单选题:
选项:
A:B
B:C
C:D
D:A
答案: 【C】
6、判断题:
无穷小量是比小的常数
选项:
A:错
B:对
答案: 【错】
7、判断题:
无穷小量就是0
选项:
A:错
B:对
答案: 【错】
8、判断题:
数0是无穷小量
选项:
A:对
B:错
答案: 【对】
9、判断题:
是无穷大量
选项:
A:对
B:错
答案: 【错】
10、判断题:
sin x是时的无穷小量
选项:
A:对
B:错
答案: 【对】
第二章 单元测试
1、单选题:
设μ,v可导,且μ≠0,则=( )
选项:
A:
B:
C:
D:
答案: 【
】
2、单选题:
设f(x)可导,则df(x)=( )
选项:
A:
f'(x)+C
B:
f'(x)dx
C:
f'(x)
D:
f'(x)dx+C
答案: 【
f'(x)dx
】
3、单选题:
已知f'(x)=2x,则df(x)=( )
选项:
A:
2xdx
B:
C:
2x
D:
答案: 【
2xdx
】
4、单选题:
y=f(x)在处可微是在该点可导的( )条件
选项:
A:
充要条件
B:
必要条件
C:
无关条件
D:
充分条件
答案: 【
充要条件
】
5、判断题:
可导是连续的必要条件
选项:
A:错
B:对
答案: 【错】
6、判断题:
函数在处连续则必在处可导
选项:
A:对
B:错
答案: 【错】
7、判断题:
函数在处可导 则必在处连续
选项:
A:错
B:对
答案: 【对】
8、判断题:
连续与可导互为无关条件
选项:
A:对
B:错
答案: 【错】
9、单选题:
选项:
A:
B:
C:
D:
答案: 【
】
10、判断题:
可导是连续的充分不必要条件
选项:
A:对
B:错
答案: 【对】
第三章 单元测试
1、单选题:
在区间【-1,1】上满足罗尔定理条件的函数是
选项:
A:
B:
C:
D:
答案:
2、单选题:
的拐点是
选项:
A:
(0,0)
B:
C:
(0,1)
D:
答案:
3、单选题:
的单调增区间为
选项:
A:
B:
C:
D:
答案:
4、单选题:
对于可导函数而言,为f(x)的驻点是为f(x)的极值点的( )条件
选项:
A:
必要条件
B:
充分条件
C:
充要条件
D:
无关条件
答案:
5、单选题:
x=0是函数的( )
选项:
A:
极大值点
B:
非极值点
C:
极小值点
D:
无法确定
答案:
6、判断题:
若=0则f(x)在处取得极值
选项:
A:错
B:对
答案:
7、判断题:
若f(x)在处取得极值,则=0
选项:
A:对
B:错
答案:
8、判断题:
若则f(x)在处取得极小值
选项:
A:对
B:错
答案:
9、判断题:
洛必达法则可以解决所有型极限
选项:
A:对
B:错
答案:
10、判断题:
则()为的拐点
选项:
A:对
B:错
答案:
第四章 单元测试
1、单选题:
下列等式中,正确的是
选项:
A:
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B:
<img class=”kfformula” src=”data:image/png;base64,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
C:
<img class=”kfformula” src=”data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQwAAAA8CAYAAACTgYSKAAAO5ElEQVR4Xu2dBcwtSRGFz6KLw+K6uLu7LbC4u7u7u4RFFl8cgru7BdfgDsEtuLvuIvlCVdI7mXtvdd+Z+WduqpOXvLw709NzuvtU1anqefsoWyKQCCQCQQT2CV6XlyUCiUAioCSMXASJQCIQRiAJIwxVXpgIJAJJGLkGEoFEIIxAEkYYqrwwEUgEkjByDSQCiUAYgSSMMFR5YSKQCCRh5BpIBBKBMAJJGGGo8sJEIBFIwsg1kAgkAmEEdokwjivpzZL+KOnDkp4WRiEvTAQSgRACu0QYb5H0QyOLF0u6jKQvhVDIixKBRCCEwK4QxqUlfUjSaSTdUtIj7O8QSLZEIBEYCIFdIYyXSDq3/RkImuwmEUgEugjsCmH8wTSLR+YUJwKJwHgI7AJhXNPETjQLxM5siUAiMBICu0AYZEPuIel4kvA09qIdXdI/JP2n8eFHkLSvpL813p+3/R+BI9kf5qK1HcVu/FdrB7t83y4QBpkQUqqn3oOJAj88HBbqGyT9t3EM9HNdSYdJItvT2k/j43fithNKuouk50j65RZvdAxJ95L0Wknf2aKfnbx16YQBUfxe0ltt444xSeeSdElJr5H0684DLiXpvJKeYZt9m+dDOneT9AVJH9mmox2992iSbiTpx5Le3yFVNvmDJb1C0jcGeP8TS7qvpCdtST4DDGVeXcyBMPAMHifpPJLOJOnekp4ahMn1i0dJahU82ahY93NI+p2RwquMAMCHFO3tJV1N0ueLcZ1c0sPsub8IjnfTZSex/h4t6aebLi5+v5NtJjJFX5V0Y0k/qrh/LpeeUtJ9JH1L0skkUU/zfRvcmSW9zsjigZI8ZGCObivp75JeOaB3dlkzFAcNYAy2xfdEki4n6Qr23qwN1h+lBHikh5pX9E1Jb9/2YevunwNh+PhuLumlkrDaHw2+tOsXrYIn738TSdc2HYTFenFJN5T0XUnHkfQCSb+1CWFR0o4o6f62sN8UHGv0MsYCcT5B0r+jN0nCJYfoqD1B01maHgJZgvWLJP1G0vNtPWBMaFeX9Fybm3J9gNUDjGjwNodqR5X0GElvq1iPQz3b+2FO7ymJOqPHGln+035k7bJXrmqh0+1sLUO2o7W5EAZC0+MlXajSOpIVATQKtlqKtE4q6WWSPmELlcX6NUkPkfRX27hYLRbkB4pZ4HksJgjm5wPPDmN6so3hBxV9n8+syxMrPLSK7ke/9DZGdNe3Kl30iDvbZmWdMienk3RXmxsGxL+jN3Ac4IUjjPAA25B4NL5RR3hMb5cXlvR0W3eQxZ97rnKD93LT0PC0wGK0NhfCaLWOLg62vgeT8l5bhBBHt13eCKxcpFyDV+KkMbRAifdCGISlgKyircVDi/Y99nVkiCDJMxreXa3oWJKeaeReEvcJbFMRko5hWSFvvNiHj9T/Klwxgnjbb5T0UAu3Vl2Lh4VAi+iOERt6PR7uua0bbegF1GIdvRwcgZC/tzTfZIQheBndhjuIJlAuUsQ3NBYm830tDw3cA1Ghz+DBRFKErR5aYCiTXOIG43ud0M8fjs6FtwEx4Pl5u5jpSxB6nwXedvCQN3rSl21TRvvDEGFU7hecv7Lfs5h2gy52h4DoenwzLM+28Ck6xqbr5kIYvnERdaKbEJETS3yIxXm1ALigyca8QYUFQYx7lqQHSUJkGqMh8BG745b/LPAA33CER9wzxuYJDKP5Ehc0X28bNNoRGwovACIZy7KyNhkfAndUU4LIbraC/Na9G7VEz5N0RRPi8X43NQgD74v9MIaXdbjn7wVhYC0QaMiVk6EgTXZRSRes1C9Qh69hk9JylJ1iK8iGBcfkRgWzc9oCJXPSdZ1LcBHxeE82PBaHGBtLheVhcWNJULnf1bPYIQBEPwjxK50VgxiH0EWfeD+nlfQZEwxX6Re49Le2OPzsJp6904REUogsup9IIhamFmTqRtoaTxGxGfc60tz6Q9p94aT3QVHclSwLxr8dWdJTJJ3BMg94LKew0KNvPhkb2kANEbcSBoI3nivvQ4r9TwEgjmkEw3y6KB+4re2SqQkD8GFqhCrERc82IOqwWGsmBZFzfxPIakrCSd1dTxIbBaL4YqGCv8c29To0WQyEKusEpm4enxAD15YiMzIBkCWCFou3j6w8OwMRlqES9QbEqdzPokeI8xiWepE+D61bowDhIe5+yvQbsCMjc/4iO9S2muruYiND+OgWrAvS6qwBT22/esMG8NAQwiWT0ddY35AQjToaNhfeIZ4C6VoIltoO6i0IefrIinAZDQPCJVsWaS2EwTzhKXDamrU1hogbGfvaa6YkDI/NKHIqxTy3LjX1F16wxcu1vkOLbsLz8BAuscbdhASxDh8svAPqI7Ac77B0LFhQZMTGxcvpurq+GfBAfBHjjaFp4I3hufzKZtY9pbOu8NDYECx0d2+xpqRfSV2SmWATUe+At0LxU2ml8EYgKETJ2oY31dUc+vpo1V88doeI+/QnngWZXssIAc8JDHkfSJpQFALHi0NkZKOSSu82+oC4mdO+3/veqYUwIHKESxp1QV3Pshb/Ua5v3Wy1g3H2ZLESE5apyBb9wgVPFiWbsaWhW2B1anSTCGGgcWCNsF6eiqOGgGrU60iK1G04YXysIFdSfHxRDO+stD7r9AtCEa6HpD3kcqLEqiLejhX7R+eEuN09ixoPM0IYECJESMhGc88NUue3SBgKYeAN3r1CI2ghDLxQSJ0qVgrv1oW7UWwHv24qwkCfQHPAHcfquEVttS4ueJJ6wjK0NERLrC95/xrxcpOH0R2L1xBAjFHL0SUMdAvCBhYV4dTXi4fUekqMH++mlihbMI7cc3ojbryvGvEyQhh93gIeG2FMVMScijB8Xtgj0cI7PCaMMFW9kxD/VISBlSPmJmYt403y6FgX2LTGugwleCLA1rI53sKVKxRwt2os3mhhTTc+R6shjEBA7fZRQwCtBB3Z+K3XeEh6iw3iZbf/VTrPunG4p9ddh+vu8apbPIyy3B7NB9LpC9eObWI6h9f6TjCjH6HblcVgPjayJOyXiIB5NkkHTukpTkEYXpSDdexa2Frr6BPbKnj6/e7Gf7ui1sHvxd3EO4lmVjw2RfmOFtZ0racXmCGKlZaxlgAIl9CPSL9FF2UrEUTvw/PivfB42EjR1qfzrLvXsyqQfU0anfkGc4h5TNHT9wIhScR44l1AYlw/md4xBWH4xFLW27XmpXVEJAQAhB9SravaEIKnb2KOQkcPuvl4sDhYB0SwSI1EnwfARkfkhUT6+mBjozsgQrK5WbQfl9S1wl0P7VRFCrcPP/p5txUUYcm8cXgN4bC78MYWPX0TIzq2HJhjIyP+lu+yat2s8mbZqOhgq7ISGDq0pxqCbdEwXOfjeEQ37Ox7JzBj3JBttD4kSsYrr5uCMDyGp5qyZGkAYrOib8D4fsCLMyXrCo+GEDxbXFMHEZGOxYW3UJ5e5XdYn4XFxr6pHbVGe+BwXKmVQFichoQU+iabRczZCRfmPHWKkFpmmOgDPQLiI1sAvmwgit/AHVx5/h2NKBgbJdjlAT9OPZJ1OTjoBm+96IoOWsK18vm8HxusPL1aEjvzRH0H2gibi1CW+hbXSpgvjrEjJq8qegIzvGQ/BBd5/xbCoF/uY37RMdgHq2piLiLpKjamsvI1MratrpmCMBgg8R5MyAZAsEPEI++NG8qkYV3YRFhIUnzrGjUQEE1rhSd9E1LcqkKELMez7qyHK/6cFMUDoeYD8riAubVs5P3M5WThrvrQCxuf+NTDDz85Sb8uGmP9KT2mbxYXaVs8EnAmC+WhIPUZ4E68jAdHv2RqsMp4f7i/FP0M8R2J2sXogifZgagIWT6Dd6FGgncgTdwlE8ql+Q2iYOPzPGpf+Le/mBaF4aLCtE80bD0G0EoY7Ec0CTJYiLPofiUhoI2wbjkuwIevpz4Q11zDULswAAIri2XnAzEc3CLDARhkPKib5/sGLOJNn9nzI+0AB2i1zTcSQmJUh+g+Y9UpRt6TGJl3/ZwkaiRI3aJBkJHB7Xd9YtU3NCAHCICsQXmGxYnGvS9IgY1AFSM1BVhI0oflPZAJng7aAKEcixBSZsN80o7EQx579WUp12bwcKIVnuVcuJeKRfbUqf/uR8MRKiEJUtRUs2JwIF4Ig9PAhGirPq3Yeiq5lTB87BADYQnhEOInRWZ8E4OQkfS81+DUrv2tr5/Kw9h6oEUH2x5pd8Hzs41WjaHgSUBcuPtlinOI98Rq8q0NFnakTmCIZ+5VHwienMaMppv7xkk5NeFGma4f6n3wzAibautVtiWMocY/eD9LJAxcR6xG6zc8XY0mrl9VUhwBmtQch5JwH4cSnQh3iKmpC8GS7HLzDA9hWzTd3IcH5A1xMw9DHr7CovO1LQTu2m+tEF6jMaAX7dTHhJdGGJAEbmTNNzy7QiQWnGKvbsVp7ebEHaasGNFxqLQWC40QIlJSXTveOVyPeOtCJGc6+DtZsW3PTSDi8ofNPcThOfYF1bqEA5xpmaQoag4TtGkMSyMM/4YnAlb0hGopRGK9uffTpi1swmfT70N+LHbIvjaNe69+J6vhQiTEz1wgDm9bBt09ZLbtBh/y4857hfUoz10aYXhJOCcbo//RMu9I+MBHfhG7EL7IKAxhiZgUxFOETg6StarWCJ14PQidNR//HWVRjNgp+hGZHUIHvEUyRetqbmqG4h9zphgPYb21IQojNuI5ts5n67Nnf9/SCAPBE4ELxT9bIpAITIzA0giDlCukQWiSLRFIBCZGYEmEgWfBx25a6y8mhjYflwjsHgJLIgyv8NzL/0N191ZAvlEiUIHA3AmDSk6Kl1DTqWokJGn9/kUFLHlpIpAI9CEwd8KAIMiGQBKk4Vr/w6Kc/UQgERgAgbkTBkTB6VQOUHHYrOXsyAA
D:
<img class=”kfformula” src=”data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAARAAAAA8CAYAAACuE+XsAAAPkElEQVR4Xu2dBazsyBFFz4aZmROFmZlR4Q0zMzPjhpkZN8zMzApzojAzMyqkE3VtLMcz0+7xwJtfLX3t3/fttru6+vatW9V++5EtLZAWSAs0WmC/xvvytrRAWiAtQAJIOkFaIC3QbIEEkGbT5Y1pgbRAAkj6QFogLdBsgQSQZtPljWmBtEACSPpAWiAt0GyBBJBm0+WNaYG0QAJI+kBaIC3QbIEEkGbT5Y1pgbRAAkj6QFogLdBsgX0NQI4CvA74HfB+4AnNlssb0wJpgX2uElXQ8M/ngOcDZwG+m36QFkgLtFlgX2IgFwbeB5wUuCHwgPL3BJA238m70gJbyUCOBlwDuAdwG+AtE83T6wFDGIEkW1ogLTCBBbaVgZwNeCZwA+DLE4xT4PgNcADwwAn6yy7SAmkB2EoG4sTIQK5bQo1fTTBT+xfx9CJFA5mgy+wiLZAW2FYGcj/gCID//fsE02S25Q7AUYHfTtBfSxeHA/4K/KvlZuBgwGGAPzfevy/epr3+Uf60jn+KPlqfvfX3bSOAuNCeCHwMeO5EFjTrYjvzRP2N6UYby4AOAbwa+PeYmzvX2s9Vy2JQz2ntp/Hxe+628wCGws9YEkCODdwKeCrwiz1nhRW/8LYAyKmB2wMfB5z4cwM3Bz4xwfhD/3hBCYkm6PL/ujgTcEHg5QNOdiHgrMCTl3RkHyoI3Q74DPCBVQxkR/o8TQmBHwb8aYIxTd3fBK+0HV1sA4A4OY8B7gV8AbgEcB/g+sD3JzBT6B/LCKguXHf/MwC/LiDx0gII2tCUsIB3eeDTnXc+fgnDFG5/OsFY7OI4RQh+MPCjEX26i16rsLAvAtcGvjfi/m259ITAXYCvAccr9Tzf7rzckYCHAk8DvjLRSzvH1wEOCzxnw+zPUPZUxdfOCPy8hLVHBl5cNt1jAfcHHrXqOd40gBy6DNLKUBf4P4FblAKvOwF/mcABQv9oFVDDea5cdBSd9/zANYFvAk6cTqXY233ngwN3L47+2gnG0e3Cd9GJdBBtVtuOCQh81r6oCe01PUXw1NbPA34JPAuQWT68YwAXumHH4yde6OpnjwUeWea01uZTXacfWvh4X+APwCOAr3bG6FqSxf8ekBELNFOtoZlj2DSAuAheUnZw6z1EeCfeHcXFMUVT/9CgrQLqcYEXAh8pjqvzfqmwJOlxjMG6lfd0XtiCNXdCAecnUwyk04fvpDPL1L4zom81gTcBjy52HnHrVlx6kwJ8VwfcEKwTujXwwfJ2zrEbhr4zRfq/P2if74YxNTgtMq4M+GZl7CYWXjNDjD98eTevvfM65njTAHI+4NnA1cqES0mlYS48MxbfKBRtkYHn/btiowxHLaSlqce8E7htAZJ+H4ZchgP+ezfedicMEJla8JTdGDZJ4wXg2mZY6I6tLhOLrvbeTV9nNkTQPGWx95CgqT+Z/nfxTMFe+2M+XQkNBC4Z0Dqa4OEm5GZhXdQiAV2/ezpw6bLprfQdNw0g7t5PKtTr6yVGd/JvCVyqCI9SstYW5esKjq0VqLHoDFtkIf12R0BNocs+gkm5U7yr9eUX3Cdwqe/oXILtonaoQnvPtUf1jwi/vjWDmuvLLjKBxSLEVbQjAk8pC9QsYW2zrulkvVCr5l7HpG5lJslNVQA1LT2vCaIysLVoXJsGkKBmio0KgtZIuOMrOH6qULUaQ8+6RvHSndq0sAt9bAuB1IWqE7jj1zSZlGk/hWHj1FU0M1fG/u6GP654QCxAwynvMY7eS83xvhJ4FaCA3G8ubm2uRrIqdhX+oA3HgJSsQAAZeu95c3D2kvo3pL9epWgugHjtyvUPX3zTALJqB5buXRG4EXBgw8OiJkXNwUmxHL6mqY4rCpuZmVc7oChovCoACJzWvXy+KP6GPWaoPAD41gFBUEBQRBQgzV51m4La5UqfsiOd15S4i2uW/uECvDHwN+D0wLvLOaQrFFHy6MAPgRdV7II1Nhp7jWlymaTi9SsGbq4FbcVF6b0ZNdshgccBpwAuXsLQExQtZWjuZKSCmVpErYDdAiCRYFAY1Y9qsz+O40Q9RjzW1tXX7zqAWHWq6DU2A2OqUF1GNV/g+GxnV3t7WeTzjOwuIOO5adFfhq6177uWFPbPSvraHUrRV2fxZ4Z3OvgQeEX2R9GwG1oppEl3vd+FISAYKrroFJMvORBWec+9i/5k6lMAVCyWpqv/+AkEabE7YmSfqp1siQtd7G4A6h4CiFkIASxS6S/raB2RlXLBzUpP6+++v82aHaudZS0Cgbu84GrIYFmB4uwQUAmolxm5w7cAiHqLbMsWGuESplzNrbsMICfpZChax9matdBhLjDHyRRBLQh7b4c9WCWrZvLmkv6VfSgou5ANwfq7XegsMpRw9BDczluYjTUCtmBSp50RG7toTEMLFjZ3YNO9CoVmHlxofj9FNiPQdAVK2YqApcg5tsm2ZGqLir1q9BtBW1ag7WednxJkrlQAQi1Be/nuArRhquAto1Nk9pMPpun7zecYmo5hpC0AYjmD2oeAubUhZ+vCGusom7g+Csh00tYSdnUPd6qhXXvemBYBiHTbcMEdT4Zgc2d7A3AVoKZuJADkQ51MzMXKoUHj3+4xgHn6h6GL11spGyFaAKc78bpTlkN2NT0bzGPWYqoBEMFQEIwK52BxArr/VhOi1jynP4axAOL7yEYFKgHWP1Nn8iZZk+sAEJ3a3XjqJqWeVwgVAuoyJexOoLuzdQdjxNBFANK3RWQQjK+teO1rGkO26wNIxMxmZ/qUdyyT8v1lP2OBc+o5jv5OXoBcdjZrMbUs7Ajt1JhqNY2W54wFkJhbWYipW+uQapqAKFtb25mddQBIzcBXcY1xu1TU3bXl26dB+w2FTImNmZSxcXLshNphnm7StVM4mc7/RuDEJexQkO33MQYQasKFVczXvD5DQJ23mARJy7dldrWfgAjWp86iDWvaLH3rsqUcYagPGaD+NEubkXGqe0WYGnOg71rXUlvrY7LAcoihcoOasY2+ZtMAoninIv6gcnbBHPtUrVVAjecH7XdCamst4t6xcbKipSd13WmMyWvoqlkRHUuqq8NEwZs27O6mYwHB8Mp+TVmvJRVYMeEyM8clI5pVfyGbcKNQWxrSLvqPiTBBQXRMin4su/S5YxmI92h7RXBrompSxmb0FH4NO5epnaqYjv9dsmkA8U3cOaOcvVuMNWogvYvjBK4/bh1jLGqr+tQBxjSd2ZOgOnNNjcYQQ3DhW1QnqAz14UJXt1DUdLELWh8eoLzHKPqBDEr9wBRfpIyHxmQ/bwPu1nNcD+MJVP3watUiaix02eS84igB1bS2IU5NCNi3S9TFyGTUzGZ9SsKwwsNqY2o6WgAksjCeUO9XOffnLU5pq+2sjX0ss7jGLKZF1+rMLlB3GUvXp2hTVKC20Nt4d0U/HVA20T2d67872e4u0nHpqWlT9RxTzV2tRQC7aAGJoXoDHd3KyxD/Ip5XmO1SXvtQzxAIdXqd2eyMFbKCq7uvz3enEzh8Nyseu+XuFvpZr+JBslWUiM+b89rwLkrd3zEjHNE+zom1JIKMIGGdUICOrM+5MbXur/4YKhoMNueiHkrxzhpHC4AInG4gEcaYsRtqUYxp2Gbat4a9TrHG/ttH6+482QsUh/YYvMUyU1GvZStQHZ8CqjFlrajZtcm8syqRUVAAlqFYcyKYnKOEHi5sPywtW9C5recYajqlu1SEK4qoApb9xslm2YFMwr49vWmaWMZiOGA1ZSw660MEIjNC1lHYr3G51FmtJT5uPdXx+DH+EwKqKeZFQqdjsOhvKAwUKD3i71gEDhemfVtn48/+WOo7DKtnLURZSwBxDcuJcbYAiPdqe8Nna1c8rCnAxxftXLuetXK+rND96LrBYxsAJEqDLRgKpx/jXLOuterURWnOX2cZ22JhGV6Nyfd3n2P2yWrQe3ZStWFz424Zh+X6imumimViZnykoKFvzPqGiGAhIJiV6IZ9ATxBxwUJx6/OZFrbXVWa271HcJEJqS0Y+rmzGua4qHRKtSDBZCp2OHYuQtuRAS3a9QU+P6FgEV8/Jes4/LlCpqBh+tvKWn8m6AognmzuLtL+u56zCNSCz6Lale69rQAS/iJQuJlZAeuchr7nCXbHsW5WeNDYNsFAFHvcFRUn3QE8pCZlVkQMg8lILMk1A+K5Bg1o4Y9U3t1zUQlxZGC8r+X3voSA+smKXW/Wgljl0fJ5C2XsAt326w1t/QZGDROcBaxTjDFYpcVmNXU6UwHIFO++sj7WDSCWb0sjrbCTqkfJtGnH+G6psb2gYomxQGJ6yx3SXVR6KfovCnWMA91pBKCWFnUT6gK16b2h55gedNdQGV8EerXvqSMbp1uXYuHZLrfQHAzzatPbltsLOlL+KXdmNRTtLsOpKTjrzosnyx2DvrxTbZ0A4rNc/B5iClXZoieFIsOE+L6C1N9Y28yD1ysCWlZcm9tXHPPsypgCsr6w6Q7vM3XEZT4GJOBZGq2IOSZmnudkgq6AWlMCvhedtSt2uokofMpOaz+w7VzqU25IUZq/rB3sU+1IATa/Rdux5joBJNJmxm2GIVF96c/VCfrftIjj2eb0FcVqd/AoYR9zArcrbLrLCFwq7WoTy7b+obll+puyr2XeY5X3dsVONQnnQrF5TCFf/3DgMu/bP4C31izHMi++jnvXCSD9T/8FQIjoag2KWN2P4/av9/91DL9IPq9FBmaM/qEdDDdkRwpqimtmLBZ9vKV2jhRjFU49GBdnX2rvjeuM72VFCqdjPqY89jmbvl79SY1MwdcQ1EzUDxpeSkE56mvGhhzdx/lFfX3J1G7r7/RpeP29ccs6ASQYyENKpsE6Az9nqLqu5hC/M8VTn7IUdQ7jWMUzv0Ll36Wxi74kroCq47XqH3t
答案:
2、单选题:
设f(x)在【0,6】上有一个原函数0,则在【0,6】上( )
选项:
A:
f(x)的所有原函数为0
B:
但
C:
f(x)的不定积分为0
D:
答案:
3、单选题:
f(x)的一个原函数是,则f(x)=( )
选项:
A:
B:
C:
D:
答案:
4、单选题:
函数的一个原函数是
选项:
A:
B:
C:
D:
答案:
5、单选题:
设是f(x)的一个原函数,则=
选项:
A:
B:
C:
D:
答案:
6、判断题:
已知,则为2x的不定积分
选项:
A:错
B:对
答案:
7、判断题:
每一个初等函数在其定义区间都有原函数
选项:
A:错
B:对
答案:
8、判断题:
选项:
A:对
B:错
答案:
9、判断题:
选项:
A:错
B:对
答案:
10、判断题:
选项:
A:对
B:错
答案:
第五章 单元测试
1、判断题:
选项:
A:错
B:对
答案:
2、判断题:
选项:
A:错
B:对
答案:
3、判断题:
选项:
A:错
B:对
答案:
4、判断题:
选项:
A:错
B:对
答案:
5、判断题:
选项:
A:错
B:对
答案:
请先
!