代码搜索：Fitting

找到约 695 项符合「Fitting」的源代码

代码结果 695
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/418598/10939537

m lmdemo.m

% Unconstrained minimization % fitting the exponential model x_i=p(1)*exp(-p(2)*i)+p(3) of expfit.c to noisy measurements obtained with (5.0 0.1 1.0) p0=[1.0, 0.0, 0.0]; x=[5.8728, 5.4948, 5.0081, 4.
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www.eeworm.com/read/38039/1102743

ptd piping_fitt_category_map.ptd

!# Pro/TABLE !# Pro/TABLE TM Version I-03-13 (c) 1988-99 by Parametric Technology Corporation All Rights Reserved. ![] W 8; ![] S 92; "ICON_NUMBER" "ICON_BITMAP" "FITTING_CATEGORY" "VALVE_NUMBE
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www.eeworm.com/read/38039/1102792

ptd isogen_symbol_map.ptd

"FITTING_GENERIC_NAME" "ISOGEN_COMPONENT_NAME" "ISOGEN_SKEY" "ISOGEN_ITEM" "coupling_sw" "COUPLING" "COSW" "FABRICATION-ITEM" "elbow_45_copper_bw_trim" "ELBOW" "ELBW" "FABRICATION-ITEM" "elbow_45_c
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www.eeworm.com/read/368885/9674737

m lmdemo.m

% Unconstrained minimization % fitting the exponential model x_i=p(1)*exp(-p(2)*i)+p(3) of expfit.c to noisy measurements obtained with (5.0 0.1 1.0) p0=[1.0, 0.0, 0.0]; x=[5.8728, 5.4948, 5.0081, 4.
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www.eeworm.com/read/174881/9570855

c gasp.c

/* gasp.c -- Grid-fitting And Scan-conversion Procedure * Copyright (C) 1996 Li-Da Lho, All right reserved */ #include #include #include "config.h" #include "ttf.h" #include "t
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www.eeworm.com/read/299394/7863077

frm frmcurvefit.frm

VERSION 5.00 Object = "{831FDD16-0C5C-11D2-A9FC-0000F8754DA1}#2.0#0"; "MSCOMCTL.OCX" Begin VB.Form frmCurveFit Caption = "Curve Fitting" ClientHeight = 6720 ClientLeft
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www.eeworm.com/read/281694/9139812

m regrp.m

function [p] = RegrP(X1,X2) % [p] = RegrP(X1,X2) % % Fitting data against a Gaussian distribution. % % Input parameters: % - X1: Input data block determining distribution (k1 x n) % - X
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www.eeworm.com/read/321771/13399508

m regrp.m

function [p] = RegrP(X1,X2) % [p] = RegrP(X1,X2) % % Fitting data against a Gaussian distribution. % % Input parameters: % - X1: Input data block determining distribution (k1 x n) % - X
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www.eeworm.com/read/127236/14366899

m regrp.m

function [p] = RegrP(X1,X2) % [p] = RegrP(X1,X2) % % Fitting data against a Gaussian distribution. % % Input parameters: % - X1: Input data block determining distribution (k1 x n) % - X
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www.eeworm.com/read/218367/14925490

m binaryfit.m

function [C1,C2]= binaryfit(phi,U,epsilon) % [C1,C2]= binaryfit(phi,U,epsilon) computes c1 c2 for optimal binary fitting % input: % U: input image % phi: level set function
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