[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fCHRC89pwyIVSayIw8jmhl0-FiK93Bz3OW_2v2yhyhyU":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":24,"type":25},[],"2023-06-19 10:20:32",71177524,[8,9,10,11],"由于三次样条函数计算复杂,所以在实际应用中不会使用三次样条函数作为未知函数f(x)的近似","三次样条函数是分段三次插值多项式,且是二阶连续可导函数","三次样条函数是充分光滑的多项式函数","三次样条函数比分段线性插值多项式光滑程度要差",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},22,"35352431ef5fa409ddd7b8b9ba9e4549","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7e2d5ad53be3d12aacc56ee37db405b7.jpg","数学建模之案例","work_25602806","第四章作业","如下说法正确的是( )",[21,26,35,44,53,59,68,77,86,95],{"answer":22,"createTime":5,"id":6,"options":23,"question":19,"source":24,"type":25},[],[8,9,10,11],"v1",0,{"answer":27,"createTime":5,"id":28,"options":29,"question":34,"source":24,"type":25},[],71177525,[30,31,32,33],"当用高次代数插值函数作为未知函数近似时,往往在定义域区间两侧近似效果更好","对于代数插值来说,插值多项式的次数很高时,逼近效果往往很不理想","对于代数插值来说,插值多项式的次数很高时,逼近效果往往更加理想","当用高次代数插值函数作为未知函数近似时,往往在整个定义域区间内都会发生激烈震荡","龙格现象表明( )",{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":24,"type":25},[],71177526,[39,40,41,42],"必须用插值的方法","插值和拟合都不可以","可以用插值的方法,也可以用拟合的方法","必须用拟合的方法","为了根据离散的测试数据,建立变量与变量间的连续函数,我们一般可以用下列哪种方法",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":24,"type":25},[],71177527,[48,49,50,51],"插值和拟合都合适","插值的方法比较合适","拟合的方法比较合适","插值和拟合都不合适","对于测量的数据量不大,并且比较精确时,我们一般用下列哪种方法比较合适",{"answer":54,"createTime":5,"id":55,"options":56,"question":58,"source":24,"type":25},[],71177528,[57,51,49,50],"插值和拟合都比较合适","对于测量的数据量较大,并且精度较差时,我们用下列哪种方法较为合适",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":24,"type":25},[],71177529,[63,64,65,66],"与解决插值问题无关","interp1 也可以解决二元函数的插值问题","其实就是根据平面上的若干个点,作一条通过这些点的曲线","interp1不是Matlab函数","函数interp1用于解决一元函数的插值问题,下面哪个表述是正确的( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":24,"type":25},[],71177530,[72,73,74,75],"n次多项式","n-1次多项式","n+1次多项式","无法确定","已知函数f(x)在n个不同的点x1,…,xn处的函数值为y1,…,yn, 则,最高可以确定一个几次多项式",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":24,"type":25},[],71177531,[81,82,83,84],"整个节点构成的区间上具有一个解析表达式,便于再次开发利用","插值计算得到的函数曲线光滑","误差估计有确定表达式","插值结果收敛性有保证","以下不是拉格朗日插值多项式的优点的是( )",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":24,"type":25},[],71177532,[90,91,92,93],"插值曲线函数不光滑","插值计算结果误差计算困难","插值计算结果收敛性不能保证","计算复杂,主要用于理论计算","以下是三次样条插值函数缺点的是:( )",{"answer":96,"createTime":5,"id":97,"options":98,"question":102,"source":24,"type":25},[],71177533,[99,82,100,101],"插值计算误差估计有确定表达式","插值计算结果收敛性有保证","在整个节点构成的区间上具有一个解析表达式,便于再次开发利用","分段线性插值的优点是( )"]