This library defines basic operation on polynomials, and contains also 3 different roots (zeroes)-finding methods that can handle quite large polynomials (>1000 coefs) Implemented in ANSI C++ Templates. Handles all real and complex floating point types. Html doc is included.
標簽： polynomials different operation contains
上傳時間： 2013-12-18
上傳用戶：yan2267246
The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT algorithm (following the ideas in the CMU Task parallel suite). 1.- Generates an input signal vector (dgen) with size n=n1xn2 stored in row major order In this code the size of the input signal is NN=NxN (n=NN, n1=n2=N) 2.- Transpose (tpose) A to have it stored in column major order 3.- Perform independent FFTs on the rows (cffts) 4.- Scale each element of the resulting array by a factor of w[n]**(p*q) 5.- Transpose (tpose) to prepair it for the next step 6.- Perform independent FFTs on the rows (cffts) 7.- Transpose the resulting matrix The code requires nested Parallelism.
標簽： iterations performs Bailey number
上傳時間： 2014-01-05
上傳用戶：libenshu01
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.
標簽： fundamental demonstrate the gathering
上傳時間： 2014-12-02
上傳用戶：15736969615
bubble sort quick sort selection sort developed to measure time performance of each sorting and compare their results with each other for very large data set 2
標簽： sort performance developed selection
上傳時間： 2014-01-08
上傳用戶：xuan‘nian
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
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.
標簽： computing lifetime wireless M-files
上傳時間： 2017-07-19
上傳用戶：hasan2015
Introduction ? ? The ARM Cortex -A8 microprocessor is the first applications microprocessor in ARM!ˉs new Cortex family. With high performance and power efficiency, it targets a wide variety of mobile and consumer applications including mobile phones, set-top boxes, gaming consoles and automotive navigation/entertainment systems. The Cortex-A8 processor spans a range of performance points depending on the implementation, delivering over to 2000 Dhrystone MIPS (DMIPS) of performance for demanding consumer applications and consuming less than 300mW for low-power mobile devices. This translates into a large increase in processing capability while staying with the power levels of previous generations of mobile devices. Consumer applications will benefit from the reduced heat dissipation and resulting lower packaging and integration costs.
標簽： microprocessor Introduction applications Cortex
上傳時間： 2013-12-09
上傳用戶：xzt
list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, linearly scale randomize the row order of a matrix
標簽： matlab learning routines m-files
上傳時間： 2017-07-24
上傳用戶：evil
This toolbox implements the same methods on small dadta sets and imlements a trimming method using a random uniform distribution to quickly process large data sets.
標簽： implements imlements trimming toolbox
上傳時間： 2017-07-28
上傳用戶：helmos
Learn how to leverage a key Java technology used to access relational data from Java programs, in an Oracle environment. Author Donald Bales begins by teaching you the mysteries of establishing database connections, and how to issue SQL queries and get results back. You ll move on to advanced topics such as streaming large objects, calling PL/procedures, and working with Oracle9i s object-oriented features, then finish with a look at transactions, concurrency management, and performance
標簽： Java technology relational leverage
上傳時間： 2017-08-02
上傳用戶：xz85592677
