dim); end end end function y = intmean(x, dim, isnative) % compute the mean of integer vector ysiz = size(x); if ischar(dim) || isstring(dim) x = x(:); else dim = reshape(dim, 1, []); dim = min(dim, ndims(x)+1);
if n == 1, % Terminating condition output = 1; return; end output = n*fact(n-1); 在写一个递函数时,一定要包含结束条件(Terminating condition),否则此函数将会一再呼叫自己,永远不会停止,直到电脑的记忆体被耗尽为止。以上例而言,n==1即满足结束条件,此...
You must specify more than one input argument with assert if you want MATLAB to convert special characters (such as \t, \n, %s, and %d) in the error message. Example: 'Assertion condition failed.' A— Replacement value character vector | string scalar | numeric scalar Value that replace ...
If the selected response variables in InSample are vectors, forecast generates numprepaths forecast paths, initialized by the paths of each selected presample response variable in Tbl1, but the future response data, from which to condition the forecasts, is the same among all paths. Therefore, ...
if n == 1, % Terminating condition output = 1; return; end output = n*fact(n-1); 在写一个递函数时,一定要包含结束条件(Terminating condition),否则此函数将会一再呼叫自己,永远不会停止,直到电脑的记忆体被耗尽为止。以上例而言,n==1即满足结束条件,此时我们直接将output设为1,而不再呼叫此函数本...
到9的不重复数 c = mat2cell(sd,[3,3,3],[3,3,3]) % 每个九宫格是否为1到9的不重复数 Condition_3 = true; for i = 1:9 tmp = c{i}; %第i个宫格对应的3×3的方阵 % tmp(:) 线性索引排序 if ~all(sort(tmp(:)) == (1:9)') Condition_3 = false; break end end Condition_...
这里记录了我学习matlab的笔记,主要包括了简单的设置,数据类型,计算,format的使用,函数的使用,存储和文件操作,保存文件,绘图...,主要是学习了台湾大学郭彦福老师的matlab课程。其实matlab的语法跟c语言等编程语言的语法很像,我们只需要略微花一点点时间看看语法就可以基本掌握matlab的简单使用。
odefun must accept both input arguments t and y, even if one of the arguments is not used in the function. For example, to solve y′=5y−3, use the function: function dydt = odefun(t,y) dydt = 5*y-3; end For a system of equations, the output of odefun is a vector. Each...
X0 may be % a scalar, vector, or matrix. % % X = FMINCON(FUN,X0,A,B,Aeq,Beq) minimizes FUN subject to the linear % equalities Aeq*X = Beq as well as A*X <= B. (Set A=[] and B=[] if no % inequalities exist.) % % X = FMINCON(FUN,X0,A,B,Aeq,Beq,LB,UB) ...
For a vector window size, the leading edge and the trailing edge are included. window = [2 2] Current sample point = 4 2, 3, 4, 5, 6 For sample points near the endpoints of the input data, these moving statistic smoothing methods truncate the window so it begins at the first sample...