代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
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c draw.c

#include #include #include #include int drawdebug; static int tablesbuilt; /* perfect approximation to NTSC = .299r+.587g+.114b when 0 ≤ r,g,b < 256 */ #define RG
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c draw.c

#include "u.h" #include "lib.h" #include "draw.h" #include "memdraw.h" int drawdebug; static int tablesbuilt; /* perfect approximation to NTSC = .299r+.587g+.114b when 0 ≤ r,g,b < 256 */ #define RGB
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m tucker_als.m

function [T,Uinit] = tucker_als(X,R,opts) %TUCKER_ALS Higher-order orthogonal iteration. % % T = TUCKER_ALS(X,R) computes the best rank(R1,R2,..,Rn) % approximation of tensor X, according to the s
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htm evidence.htm

Netlab Reference Manual evidence evidence Purpose Re-estimate hyperparameters using evidence approximation. Synopsis
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m mgtls2x.m

function m = mgtlsx(d,wl,wr,x) % MGTLS2X - Global Total Least Squares misfit computation. % [M,DH] = MGTLS2X(D,WL,WR,X) gives the GTLS2 misfit M and the % GTLS2 approximation DH of the data D by the
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c sparsesvd.c

/* Finds a sparse rank-one approximation to a given symmetric matrix A, by solving the SDP min_X lambda_max(A+X) : X = X', abs(X(i,j))
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c sparsegeneig.c

/* Finds a sparse rank-one approximation to a given symmetric matrix A, by solving the SDP min_X lambda_max(A+X) : X = X', abs(X(i,j))
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m mlsshape.m

function [PHI,DPHI,D2PHI,D4PHI] = MLSShape(m, nnodes, xi, npoints, x, dm, wtype, para) % SHAPE FUNCTION OF MLS APPROXIMATION % % SYNTAX: [PHI, DPHI, D2PHI] = MLS1DShape(m, nnodes, xi, npoints, x, d
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asm sine_cos.asm

; ; sine_cos: 16-bit sine(x) and cos(x) approximation function ; ; Entry: T0 = x, in the range of [-pi=0x8000 pi=0x7fff] ; AR0 -> Pointer ; Return: None ; Update: ; AR0->[0] =
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m dither.m

function imout=dither(arg1,arg2,arg3,arg4,arg5,arg6) %DITHER Convert image using dithering. % X = DITHER(RGB,MAP) creates an indexed image approximation of % the RGB image in the array RGB by d