MATLAB Online에서 열기 I recently a had a problem , i wanted to create a vector of handle functions like functions=[@(t)(t) @(t)(exp(t))] How cn i do this ? 댓글 수: 0 댓글을 달려면 로그
MATLAB Online에서 열기 x0=[100,2500,100]; opts = optimoptions(@fsolve,'Algorithm','levenberg-marquardt'); x=fsolve(@cewen,x0,opts) functiony=cewen(x) symsl%定义积分变量 a=1.39;%波长决定的常数,稳定1.38,不稳定1.39 f=1-exp(-x(1)/l^...
This MATLAB function constructs a character vector, c, that contains the name of the function associated with the function handle, fh.
typesymmatrixandsymfunmatrix. If vector calculus identities involve dot or cross products, then the toolbox displays those identities in terms of other supported functions instead. To see a list of all the functions that support symbolic matrix variables and functions, use the commandsmethods sym...
This MATLAB function plots arrows with directional components U, V, and W at the Cartesian coordinates specified by X, Y, and Z.
trains or cross-validates a support vector machine (SVM) model for one-class and two-class (binary) classification on a low-dimensional or moderate-dimensional predictor data set.fitcsvmsupports mapping the predictor data using kernel functions, and supports sequential minimal optimization (SMO), iter...
If a dynamic property is set to [ ], then it is removed from the object. The mappoint vector can be indexed like any MATLAB®vector. You can access any element of the vector to obtain a specific feature. The following examples demonstrate this behavior: ...
The negative infinity norm of a 1-by-norn-by-1 vectorVis defined as follows: ‖V‖−∞=min(∣Vi∣),wherei=1…n Tips Callingnormfor a numeric matrix that is not a symbolic object invokes the MATLAB®normfunction. Version History ...
Object Functions compact Reduce size of machine learning model crossval Cross-validate machine learning model discardSupportVectors Discard support vectors for linear support vector machine (SVM) regression model gather Gather properties of Statistics and Machine Learning Toolbox object from GPU incrementalLea...
n = norm(v) returns the 2-norm or the magnitude of symbolic vector v. n = norm(v,p) returns the p-norm of symbolic vector v. example n = norm(A) returns the 2-norm of symbolic matrix A. Because symbolic variables are assumed to be complex by default, the norm can contain unreso...