代码搜索：efficient
找到约 1,594 项符合「efficient」的源代码
代码结果 1,594
www.eeworm.com/read/316872/3594362
h tonga.h
/* drivers/atm/tonga.h - Efficient Networks Tonga (PCI bridge) declarations */
/* Written 1995 by Werner Almesberger, EPFL LRC */
#ifndef DRIVER_ATM_TONGA_H
#define DRIVER_ATM_TONGA_H
#define PC
www.eeworm.com/read/300185/3848020
java logdensedoublematrix1d.java
package iitb.CRF;
import java.util.*;
import cern.colt.function.*;
import cern.colt.matrix.*;
import cern.colt.matrix.impl.*;
//this needs to be done to support an efficient sparse implementation
//o
www.eeworm.com/read/273525/4209299
ado _gtag.ado
*! version 7.0.1 01oct2004
program define _gtag
version 6, missing
gettoken type 0 : 0 /* type will be ignored: byte more efficient */
gettoken g 0 : 0
gettoken eqs 0 : 0
syntax varlist
www.eeworm.com/read/433911/1880191
py streams_include.py
""" Checks for inclusion of a non efficient streams include """
import _types
type_list = _types.source_files +_types. header_files + _types.inline_files
import re
regex = re.compile ("^\s*#
www.eeworm.com/read/414969/2138504
h terminal.h
/* $Id: terminal.h,v 1.2 2002/10/11 15:40:17 micahjd Exp $
*
* terminal.h - Header file shared by components of the terminal emulator widget
*
* PicoGUI small and efficient client/server GUI
* Co
www.eeworm.com/read/405366/2292609
java logdensedoublematrix1d.java
package iitb.CRF;
import java.util.*;
import cern.colt.function.*;
import cern.colt.matrix.*;
import cern.colt.matrix.impl.*;
//this needs to be done to support an efficient sparse implementation
//o
www.eeworm.com/read/476033/6772723
v counters.v
// MAX+plus II Verilog Example
// Efficient Counter Inference
// Copyright (c) 1997 Altera Corporation
module counters (d, clk, clear, ld, enable, up_down,
qa, qb, qc, qd, qe, qf, q
www.eeworm.com/read/471340/6890187
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/295408/8166601
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/269885/11072101
txt readme.txt
PowerArc 1.3.2 from 30 Apr 2003
High efficient Data Compression Library for use with Delphi.
Support Rank, ZIP, BZIP and PPM compression algorithms.
Compression ratio more than 1.5-2 times bett