代码搜索:parameter

找到约 10,000 项符合「parameter」的源代码

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c pdc605.c

/************************************************************ *PDC-605液晶显示驱动程序 *Author:昌宁 *2005-4-9 11:10 *************************************************************/ #include"PDC605.h" unsi
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pro sxgpar.pro

function sxgpar,h,par,name,type,sbyte,nbytes ; ;+ ; NAME: ; SXGPAR ; ; PURPOSE: ; Obtain group parameter value in SDAS/FITS file ; ; CALLING SEQUENCE: ; result = sxgpar( h,
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pro fxhmodify.pro

PRO FXHMODIFY, FILENAME, NAME, VALUE, COMMENT, BEFORE=BEFORE, $ AFTER=AFTER, FORMAT=FORMAT, EXTENSION=EXTENSION, ERRMSG=ERRMSG,$ NOGROW=NOGROW ;+ ; NAME: ; FXHMO
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f90 mod_auxil.f90

!_______________________________________________________________________ MODULE AUXIL USE PRECISION, ONLY: WP !---------------------------------------------------------------------- IMPLICIT N
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rpt mlt.map.rpt

Analysis & Synthesis report for mlt Fri Apr 17 17:34:19 2009 Quartus II Version 8.0 Build 215 05/29/2008 SJ Full Version --------------------- ; Table of Contents ; --------------------- 1
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m cp0201_bits.m

% % FUNCTION 2.1 : "cp0201_bits" % % Generates a stream of equiprobable binary values ('bits') % The number of bits ('numbits') is an input parameter % % Programmed by Guerino Giancola % fun
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m ridger.m

%RIDGER Ridge Regression % % W = RIDGER(X,LAMBDA) % % INPUT % X Regression dataset % LAMBDA Regularization parameter (default LAMBDA=1) % % OUTPUT % W Ridge regression mappin
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m ksmoothr.m

%KSMOOTHR Kernel smoother % % W = KSMOOTHR(X,H) % % INPUT % X Regression dataset % H Width parameter (default H=1) % % OUTPUT % W Kernel smoother mapping % % DESCRIPTION % Train a
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m parzenml3.m

%PARZENML Optimum smoothing parameter in Parzen density estimation. % % H = PARZENML(A,FID) % % INPUT % A input dataset % FID File ID to write progress to (default [], see PRPROGRESS) % %
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m get.m

%GET Get datafile parameter fields % % [VALUE1,VALUE2,...] = GET(A,FIELD1,FIELD2,...) % % INPUT % A Datafile % FIELDx Field names (strings) % % OUTPUT % VALUEx Field values % % SEE A