代码搜索:Approximation
找到约 1,542 项符合「Approximation」的源代码
代码结果 1,542
www.eeworm.com/read/209211/4983007
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
www.eeworm.com/read/435707/1861968
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
www.eeworm.com/read/205036/15328851
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
www.eeworm.com/read/429878/8784072
htm evidence.htm
Netlab Reference Manual evidence
evidence
Purpose
Re-estimate hyperparameters using evidence approximation.
Synopsis
www.eeworm.com/read/349111/10848960
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
www.eeworm.com/read/417661/10981144
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))
www.eeworm.com/read/417661/10981164
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))
www.eeworm.com/read/464858/7061509
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
www.eeworm.com/read/457222/7331536
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] =
www.eeworm.com/read/310212/13654949
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