Explain the difference between a computer process and thread
Explain the difference between a computer process and thread.
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A single process can consist multiple of threads which share global data and address space with other threads running within the same process, and thus can operate on similar data set simply. Processes do not share address space and a various mechanism must be used when they are to share data.
When we consider running a word processing program to be a process, there then the auto-save and spell check features which occur in the background are various threads of that process that are all operating on similar data set (your document).
What are the differences between logical and physical address spaces?
Uninitialized variable: It is a local variable which been declared, however has had no value allocated to it. The compiler will warn of variables that are employed before being initialized.
For creating a thread explain the limit on per process.
What is the use of UpdateProgress control in AJAX?
Graphical User Interface: A Graphical User Interface (abbreviated as GUI) is a part of a program which permits user interaction through graphical components, like menus, buttons, text areas, and so forth. Interaction frequently includes the usage of a
Java Archive file: It is a Java Archive (JAR) file which makes it possible to store multiple bytecode files within a single file.
Initializer: A block stated at the outermost level of a class - identical to a method devoid of a header. The initializer blocks are executed, in order, whenever an instance is formed. They are executed prior to the constructor of the defining class,
Define the term Internet: It is a global network of numerous interconnected networks.
Synchronized statement: It is a statement in which an object-lock should be obtained for the target object prior to the body of the statement and can be entered. Employed to enclose a critical section in order to save a race hazard.
Create a vector representing x coordinates of a measurement with 20 points between 0 and 10. Create another vector y representing fake measurements which are related to the above x values as y = 2.3 x – 1.2. Next add random (normal, Gaussian) noise to the vector
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