The computing world has undergone a revolution since the publication of The C Programming Language in 1978. Big computers are much bigger, and personal computers have capabilities that rival mainframes of a decade ago. During this time, C has changed too, although only modestly, and it has spread far beyond its origins as the language of the UNIX operating system
標簽： Programming publication revolution The
上傳時間： 2017-05-16
上傳用戶：thinode
Signal Processing and Linear Systems,B.P. Lathi,Berkeley-Cambridge Press book matlab codes
標簽： Berkeley-Cambridge Processing Systems Signal
上傳時間： 2017-06-01
上傳用戶：541657925
Ho Chi Minh City University of Technology Computer Science Department Distributed Computing Environment (DCE) Written by Nguyen Van Noi -59406114 nvnoi76@yahoo.com
標簽： Distributed Department University Technology
上傳時間： 2017-06-03
上傳用戶：410805624
m files for SIAM book, Numerical Computing with MATLAB
標簽： Numerical Computing MATLAB files
上傳時間： 2014-12-07
上傳用戶：tianyi223
Ebook on Numerical computing on matlab
標簽： Numerical computing matlab Ebook
上傳時間： 2014-01-05
上傳用戶：qiao8960
Applying Advanced Computing to Improve High-Fidelity Radar Data Simulations
標簽： High-Fidelity Simulations Computing Applying
上傳時間： 2017-06-14
上傳用戶：三人用菜
Parallel Processing, Important document for learning about high-performance computing.
標簽： high-performance Processing Important computing
上傳時間： 2013-12-23
上傳用戶：Altman
Cosecant Beam Generation Program for computing Phase distribution function and Radiation pattern.
標簽： distribution Generation computing Radiation
上傳時間： 2017-06-26
上傳用戶：黃華強
Sector Beam Generation Program for computing Phase distribution function and Radiation pattern
標簽： distribution Generation Radiation computing
上傳時間： 2017-06-26
上傳用戶：lht618
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
標簽： computing lifetime wireless M-files
上傳時間： 2014-01-01
上傳用戶：lnnn30
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