Overview (Java 2 Platform SE 5.0)

Getting Started With the NetBeans IDE Tutorial Oracle Technology Network > Java Software Downloads View All Downloads Top Downloads New Downloads What's New Java in the Cloud: Rapidly develop and deploy Java business applications in the cloud. Essential Links Developer Spotlight Java EE—the Most Lightweight Enterprise Framework? Blogs Technologies Contact Us About Oracle Cloud Events Top Actions News Key Topics Oracle Integrated Cloud Applications & Platform Services Jepp - Java Embedded Python Pausing Execution with Sleep (The Java™ Tutorials > Essential Classes > Concurrency) Thread.sleep causes the current thread to suspend execution for a specified period. This is an efficient means of making processor time available to the other threads of an application or other applications that might be running on a computer system. The sleep method can also be used for pacing, as shown in the example that follows, and waiting for another thread with duties that are understood to have time requirements, as with the SimpleThreads example in a later section. Two overloaded versions of sleep are provided: one that specifies the sleep time to the millisecond and one that specifies the sleep time to the nanosecond. The SleepMessages example uses sleep to print messages at four-second intervals: Notice that main declares that it throws InterruptedException.

Multithreading Programming Tutorial Java is amultithreaded programming language which means we can develop multithreaded program using Java. A multithreaded program contains two or more parts that can run concurrently and each part can handle different task at the same time making optimal use of the available resources specially when your computer has multiple CPUs. By definition multitasking is when multiple processes share common processing resources such as a CPU. Multithreading extends the idea of multitasking into applications where you can subdivide specific operations within a single application into individual threads. Each of the threads can run in parallel. Multithreading enables you to write in a way where multiple activities can proceed concurrently in the same program. Life Cycle of a Thread: A thread goes through various stages in its life cycle. Above-mentioned stages are explained here: New: A new thread begins its life cycle in the new state. Thread Priorities: Step 1: public void run( ) Step 2: Step 3 Example:

Singular value decomposition (SVD): Denoising an FID SVD with Java Eff + Java = ? JAMA: A Java matrix package JAMPACK: A Java package for matrix computations Princeton: SVD.java Enerjy: SVD.java Matrix Toolkits for Java, see Javadoc JMathTools Drexel: The dragon toolkit Andrew Trusty: SVD for images : Java applications JMathLib, a clone of Matlab, but written entirely in Java -------------------------------------------------------------- Scilab: La plateforme open source de calcul scientifique Initiation à Scilab Scilab function: [U,S,V] = svd(X) Online tool Java library Toeplitz matrix Wikipedia: Toeplitz matrix matrix in which each descending diagonal from left to right is constant Andrew E. Hankel matrix Cadzow procedure Stewart Trickett F-xy Cadzow noise suppression, 2008 CSPG CSEG CWLS Convention Abstract Simon Poulding, Adrian J. Java applet performing SVD of a complex matrix Goto Java applet page Java applet performing SVD of a complex Hankel matrix: Denoising an FID

JAMA: Java Matrix Package Background JAMA is a basic linear algebra package for Java. It provides user-level classes for constructing and manipulating real, dense matrices. It is meant to provide sufficient functionality for routine problems, packaged in a way that is natural and understandable to non-experts. It is intended to serve as the standard matrix class for Java, and will be proposed as such to the Java Grande Forum and then to Sun. A straightforward public-domain reference implementation has been developed by the MathWorks and NIST as a strawman for such a class. A sibling matrix package, Jampack, has also been developed at NIST and the University of Maryland. Capabilities. JAMA is comprised of six Java classes: Matrix, CholeskyDecomposition, LUDecomposition, QRDecomposition, SingularValueDecomposition and EigenvalueDecomposition. The Matrix class provides the fundamental operations of numerical linear algebra. Example of Use. Reference Implementation. Not Covered. The Package Previous versions Authors