代码搜索：Vector
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www.eeworm.com/read/412853/11180563
m mmono.m
function f=mmono(x)
%MMONO Test for Monotonic Vector.
% MMONO(X) where X is a vector returns:
% 2 if X is strictly increasing,
% 1 if X is non decreasing,
% -1 if X is non increasing,
%
www.eeworm.com/read/265723/11255433
m nchoosek.m
function c = nchoosek(v,k)
%NCHOOSEK Binomial coefficient or all combinations.
% NCHOOSEK(N,K) where N and K are non-negative integers returns N!/K!(N-K)!.
% This is the number of combinations
www.eeworm.com/read/334860/12567855
m plot.m
%二维图（一元函数图）
%用法 plot(x,y,s) 其中x,y为向量，每一对分量代表一个数据点。
% s为表示颜色、连线和标记选择的字符串
%图形的线型，标记，颜色均可设定，常用有
% 颜色 | 线型 标记
% --------------------- -
www.eeworm.com/read/334860/12568306
m interp1.m
function yi = interp1(varargin)
% yi=interp1(x,y,xi)根据数据(x,y)给出在xi的线性插值结果yi.
% yi=interp1(x,y,xi,'spline')使用三次样条插值.
% yi=interp1(x,y,xi,'cubic')使用三次插值.
% 例如
% clear;close;fplot('sin',[0,2*pi]);
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m dmodred.m
function [ab,bb,cb,db] = dmodred(a,b,c,d,elim)
%DMODRED Discrete-time model state reduction.
% [Ab,Bb,Cb,Db] = DMODRED(A,B,C,D,ELIM) reduces the order of a model
% by eliminating the states specifi
www.eeworm.com/read/147096/12583963
m damp.m
function [wnout,z] = damp(a)
% DAMP Natural frequency and damping factor for continuous systems.
% [Wn,Z] = DAMP(A) returns vectors Wn and Z containing the
% natural frequencies and damping factors
www.eeworm.com/read/147096/12584008
m modred.m
function [ab,bb,cb,db] = modred(a,b,c,d,elim)
%MODRED Model state reduction.
% [Ab,Bb,Cb,Db] = MODRED(A,B,C,D,ELIM) reduces the order of a model
% by eliminating the states specified in vector ELIM
www.eeworm.com/read/248284/12585618
m gain.m
function [g,w] = gain(num,den)
% Computes the gain function in dB of a
% transfer function at 256 equally spaced points
% on the top half of the unit circle
% Numerator coefficients are in vecto
www.eeworm.com/read/247625/12638850
txt readme.txt
Orthant-Wise Limited-memory Quasi-Newton algorithm minimizes functions of the form
f(w) = loss(w) + C |w|_1
where loss is an arbitrary differentiable convex loss function, and |w|_1 is the L