PIECEWISE_EVAL: evaluates a piecewise function of x usage: y = PIECEWISE_EVAL(x,breakpoints,funs) arguments (input) x - vector or array of points to evaluate though the function breakpoints - list of n breakpoints, -inf and +inf are implicitly
標(biāo)簽： PIECEWISE_EVAL breakpoints evaluates piecewise
上傳時(shí)間： 2014-01-25
上傳用戶：xyipie
LINEINTRGAL Line Integral in a 2D Vector Field. LINEINTRGAL(X,Y,U,V,C) computes the line integral along the lines given in cell array C. X and Y define the coordinates of a rectangular grid over which U and V are defined. X and Y must be monotonic and 2D plaid as ％ produced by MESHGRID. X, Y, U, and V must all be the same size.
標(biāo)簽： LINEINTRGAL Integral computes integral
上傳時(shí)間： 2014-01-13
上傳用戶：hwl453472107
電動(dòng)平臺(tái), 控制X,Y,Z軸移動(dòng),能計(jì)數(shù)
標(biāo)簽： 電動(dòng) 控制 移動(dòng)
上傳時(shí)間： 2013-12-10
上傳用戶：whenfly
/* * EULER S ALGORITHM 5.1 * * TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: * Y = F(T,Y), A<=T<=B, Y(A) = ALPHA, * AT N+1 EQUALLY SPACED POINTS IN THE INTERVAL [A,B]. * * INPUT: ENDPOINTS A,B INITIAL CONDITION ALPHA INTEGER N. * * OUTPUT: APPROXIMATION W TO Y AT THE (N+1) VALUES OF T. */
標(biāo)簽： APPROXIMATE ALGORITHM THE SOLUTION
上傳時(shí)間： 2015-08-20
上傳用戶：zhangliming420
一個(gè)基于網(wǎng)格和最近鄰居的聚類算法 Similarity(x, y) = size ( SKNN(x) SKNN(y) )，while Link(x, y)=1
標(biāo)簽： SKNN Similarity size 網(wǎng)格
上傳時(shí)間： 2014-01-14
上傳用戶：zhangliming420
用BP網(wǎng)絡(luò)模擬y=sinx+1
標(biāo)簽： sinx BP網(wǎng)絡(luò) 模擬
上傳時(shí)間： 2015-08-27
上傳用戶：youth25
:::::::讀心術(shù)::::::: “吉普賽人祖?zhèn)鞯纳衿孀x心術(shù).它能測(cè)算出你的內(nèi)心感應(yīng)”
標(biāo)簽：
上傳時(shí)間： 2015-08-27
上傳用戶：s363994250
匯編程序：計(jì)算X＋Y，在屏幕顯示輸出結(jié)果。
上傳時(shí)間： 2014-01-05
上傳用戶：壞天使kk
performs one of the matrix-vector operations y := alpha*A*x + beta*y, or y := alpha*A *x + beta*y, where alpha and beta are scalars, x and y are vectors and A is an m by n matrix
標(biāo)簽： alpha beta matrix-vector operations
上傳時(shí)間： 2014-08-17
上傳用戶：qlpqlq
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag) ％ x,y - data vectors/matrices with identical dimensions ％ if x,y are matrices, rather than vectors, columns are ％ assumed to correspond to independent realizations, ％ overlap is set to 0, and samp_seg to the row dimension. ％ maxlag - maximum lag to be computed [default = 0] ％ samp_seg - samples per segment [default = data_length] ％ overlap - percentage overlap of segments [default = 0] ％ overlap is clipped to the allowed range of [0,99].
標(biāo)簽： cum2x y_cum Cross-covariance function
上傳時(shí)間： 2015-09-08
上傳用戶：xieguodong1234
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