Computes all eigenvalues and eigenvectors of a real symmetric matrix a, ! which is of size n by n, stored in a physical np by np array. ! On output, elements of a above the diagonal are destroyed. ! d returns the eigenvalues of a in its first n elements. ! v is a matrix with the same logical and physical dimensions as a, ! whose columns contain, on output, the normalized eigenvectors of a. ! nrot returns the number of Jacobi rotations that were required. ! Please notice that the eigenvalues are not ordered on output. ! If the sorting is desired, the addintioal routine "eigsrt" ! can be invoked to reorder the output of jacobi.
上傳時間： 2016-06-04
上傳用戶：1512313
module M_GAUSS !高斯列主元消去法模塊 contains subroutine LINEQ(A,B,X,N) !高斯列主元消去法 implicit real*8(A-Z) integer::I,K,N integer::ID_MAX !主元素標號 real*8::A(N,N),B(N),X(N) real*8::AUP(N,N),BUP(N) !A,B為增廣矩陣 real*8::AB(N,N+1) real*8::VTEMP1(N+1),VTEMP2(N+1) AB(1:N,1:N)=A AB(:,N+1)=B
標簽： fortan Newton 程序 數值分析 方程 非線性
上傳時間： 2018-06-15
上傳用戶：answer123
In the hit CBS crime show Person of Interest, which debuted in 2011, the two heroes—one a former Central Intelligence Agency agent and the other a billionaire technology genius—work together using the ubiquitous surveillance system in New York City to try to stop violent crime. It’s referred to by some as a science fiction cop show. But the use of advanced technology for crime analysis in almost every major police department in the United States may surpass what’s depicted on TV crime dramas such as Person of Interest. Real-time crime cen- ters (RTCCs) are a vital aspect of intelligent policing. Crime analysis is no longer the stuff of science fiction. It’s real.
標簽： Intelligence Analysis Crime
上傳時間： 2020-05-25
上傳用戶：shancjb
Mobile communication devices like smart phones or tablet PCs enable us to consume information at every location and at every time. The rapid development of new applications and new services and the demand to access data in real time create an increasing throughput demand. The data have to be transmitted reliably to ensure the desired quality of service. Furthermore, an improved utilization of the bandwidth is desired to reduce the cost of transmission.
標簽： Architectures Processing Baseband Signal for
上傳時間： 2020-05-26
上傳用戶：shancjb
The working title of this book was Channel Equalization for Everyone. Channel equalization for everyone? Well, for high school students, channel equalization provides a simple, interesting example of how mathematics and physics can be used to solve real-world problems.
標簽： Equalization Channel
上傳時間： 2020-05-26
上傳用戶：shancjb
Over the past few decades, wireless communications and networking have witnessed an unprecedented growth, and have become pervasive much sooner than anyone could have predicted. For example, cellular wireless networks are expected to become the dominant and ubiquitous telecommunication means in the next few decades. The widespread success of cellular and WLAN systems prompts the development of advanced wireless systems to provide access to information services beyond voice such as telecommuting, video conferencing, interactive media, real-time internet gaming, and so on, anytime and anywhere.
標簽： Compressive Networks Wireless Sensing for
上傳時間： 2020-05-27
上傳用戶：shancjb
Optical communication technology has been extensively developed over the last 50 years, since the proposed idea by Kao and Hockham [1]. However, only during the last 15 years have the concepts of communication foundation, that is, the modulation and demodulation techniques, been applied. This is pos- sible due to processing signals using real and imaginary components in the baseband in the digital domain. The baseband signals can be recovered from the optical passband region using polarization and phase diversity tech- niques, as well as technology that was developed in the mid-1980s.
標簽： Transmission Processing Digital Optical
上傳時間： 2020-05-27
上傳用戶：shancjb
When the authors of this book asked me to write the foreword of their work on the digital enterprise, I immediately thought that it was one more document on a fashionable topic in the technology and the business world of the 21st Century often addressed by consulting firms, some of which have aspired to become experts on the subject. However, a more careful observation reveals that an issue more important than the sole subject of the digital enterprise is: “Is your company fully operational?”, because this is the real topic.
標簽： Digital_Transformation_Informatio n_System
上傳時間： 2020-05-27
上傳用戶：shancjb
Modeling and simulation of nonlinear systems provide communication system designers with a tool to predict and verify overall system performance under nonlinearity and complex communication signals. Traditionally, RF system designers use deterministic signals (discrete tones), which can be implemented in circuit simulators, to predict the performance of their nonlinear circuits/systems. However, RF system designers are usually faced with the problem of predicting system performance when the input to the system is real-world communication signals which have a random nature.
標簽： Nonlinear_Distortion_in_Wireless_ Systems
上傳時間： 2020-05-31
上傳用戶：shancjb
The following sections profile many of the vendors in the NFV market. The individual profiles were created through a collaborative effort between SDNCentral’s Research Team and the Vendor’s product experts. SDNCentral worked under the assumption the information provided by the vendors was factual, auditing the submissions only to remove unverifiable claims and hyperbole. Extended profiles can be viewed online. While every attempt has been made to validate the capabilities listed in the profiles, SDNCentral advises end users to verify the veracity of each claim for themselves in their actual deployment environments. SDNCentral cannot be held liable for unexpected operations, damages or incorrect operation due to any inaccuracies listed here. SDNCentral welcomes feedback and additional information from end users based on their real-world experiences with the products and technologies listed. The SDNCentral research team can be reached at
標簽： SDxCentral-Mega-NFV-Report
上傳時間： 2020-06-01
上傳用戶：shancjb
