Vector Magnitude(向量幅度) %Create a vector and calculate the magnitude. v = [1 -2 3]; n = norm(v) % n = 3.7417 1. 2. 3. 4. 5. 1-Norm of Vector clc clear close all % Calculate the 1-norm of a vector, which is the sum of the element magnitudes. X = [-2 3 -1]; n...
如果A是多维数组，max(A)treatsthevaluesalongthefirstnon-singletondimensionasvectors,returningthemaximumvalueofeachvector.（2）[Y,U]=max(A)：返回行向量Y和U，Y向量记录A的每列的最大值，U向量记录每列最大值的行号。（3）max(A,[],dim)：返回A中有dim指定的维数范围中的最大值。dim取1或...
如果A是多维数组,max(A) treats the values along the first non-singleton dimension as vectors, returning the maximum value of each vector. (2)[Y,U]=max(A):返回行向量Y和U,Y向量记录A的每列的最大值,U向量记录每列最大值的行号。 (3)max(A,[],dim):返回A中有dim指定的维数范围中的最大值。
C = max(A) returns the largest elements along different dimensions of an array. If A is a vector, max(A) returns the largest element in A. If A is a matrix, max(A) treats the columns of A as vectors, returning a row vector containing the maximum element from each column. If A i...
norm函数可计算几种不同类型的矩阵范数,根据p的不同可得到不同的范数。matlab是matrix&laboratory两个词的组合，意为矩阵工厂（矩阵实验室），软件主要面对科学计算、可视化以及交互式程序设计的高科技计算环境。根据p的不同，返回不同的值 p 返回值 1 返回A中最大一列和，即max(sum(abs(A))2返回A...
Assuming "arg max" means index of the max location, use both outputs of the max function 테마복사 p = your vector [m,x] = max(p); m will contain the max, x will contain the index location of the max (first one) 댓글 수: 1 Hazim Nasir 2018년 8월 9일 tha...
如果A是一个向量,max(A)返回A中的最大元素。如果A是一个矩阵,max(A)将A的每一列作为一个向量,返回一行向量包含了每一列的最大元素。如果A是多为数组,max(A) treats the values along the first non-singleton dimension as vectors, returning the maximum value of each 2、 vector.C = max(A,B)...
maxA1 = maxA1(:,:,1) = 4 maxA1(:,:,2) = 13 maxA1(:,:,3) = 8 To compute the bounds over all dimensions of an array, you can either specify each dimension in the vector dimension argument or use the "all" option. Get [minA2,maxA2] = bounds(A,[1 2 3]) minA2 = ...
spline是样条，是一种分段光滑的多项式，MATLAB里面spline函数是三次样条插值，也就是用分段光滑的曲线去插值，每一段都是三次多项式。要知道原理的话得找本书好好看看，虽然不难但也不是几句话就能讲清楚的。
% 'MaxNumSplits' - Maximal number of decision splits (or branch % nodes) per tree. Default: size(X,1)-1 % Create the result struct with predict function predictorExtractionFcn = @(t) t(:, predictorNames); treePredictFcn = @(x) predict(classificationTree, x); ...