Computer Programming

Hi,

1. Project Plan - Draw a plan for your development project
2. Functional Requirement Specification - Define what the business needs
3. System Requirement Specification - Define how you achive the above with Operating System, Database, Software Development Tool, etc
4. High Level Design - The database structure & Data Flow diagram
5. Low Level Design - The Screen/Report layout, conditions, validations etc
6. Testing - Unit Testing, Integration Testing, System Testing
7. Documentation - User manual & Technical manual
8. Deployment - Implementing the developed application
9. Maintenance - Maintain the developed application, for bug fixing, new feature inclusions, changes to the existing functions Hope this helps

For a list with n elements, the expected cost is the same as the worst-case cost, which is O(n). The average cost will be O(n/2). However, if the list is ordered by probability and geometrically distributed, the complexity becomes constant, O(1). Compare with a binary search which has a cost of O(log n).

High Level Language:

High level language are easier to use and less technical skills are required to do a program. It is very useful where textual data is given priority. Troubleshooting doesn't takes a longer time. We get to know the errors very easily.

Low Level Language:

Low level language are not easily read at a glance and very high technical skill are required to do a program. Troubleshooting takes a longer time. They can produce stunning graphics.

It's quite easy to convert binary into hexadecimal (hex) by grouping each 4 binary digits (bits) into a single binary hex digit:

0A 64 07 15

From there it's easier to convert into decimal in the head:

10 100 7 21

If you will be doing much in the way of programming computers, or working with TCP/IP networking, it is definitely a good idea to spend some time familiarising yourself with hexadecimal and converting between hex, binary and decimal.

For reference, converting from binary to hex is done like this:

0000 = 0

0001 = 1

0010 = 2

0011 = 3

0100 = 4

0101 = 5

0110 = 6

0111 = 7

1000 = 8

1001 = 9

1010 = A

1011 = B

1100 = C

1101 = D

1110 = E

1111 = F

If you are talking about procedural languages like C, then you have two options:

Declaring global variables. These can be declared in header files, which are #included in source files to gain access to the shared data variable. Another way is to define a variable in a source file, then declare it extern in the other source files that use this variable. Note that the use of global variables is risky and generally frowned-upon.

Passing variables as function arguments. Some languages make a distinction between passing by value vs by reference. In C, everything is passed by value, even the arrays you pass are passed by value (the passed value is a pointer to the zero-th element of the array).

There are other ways of course, like using shared external files (especially if the data is shared between different processes, or multiple instances of the same process), shared memory, and semaphores (which are collectively known as IPC - InterProcess Communication).

When light falls on the junction of a pn junction/diode the potential barrier gets break down due to majorty of electrons flow and they release energy in the form of light.

the main difference is that structured programming deals with the flow of execution, and not, primarily, with the data. The mathematical basis for structured programming has to do with the elimination of arbitrary jumps (GOTOs) in favor of code blocks and functions. In particular, "information hiding" as it relates to data isn't fully developed in structured programming; structured programming has to do with the organization of the code, rather than the data, and pure structured programming passes data around in the form of function arguments (conceptually, "on the stack").

In contrast, object oriented programming primarily deals with data issues. The object/class paradigm promotes clean, flexible organization of data in the same way that structured programming promotes clean, flexible organization of code. In a pure object oriented approach, the flow of program execution is treated as bits of behavior associated with the packets of data that are "objects".

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Structured programming language is actually a concept used to improvise the code over common procedural language. Structured programming is somewhat similar to Object Oriented Programming or OOP, which are blocks of code from sub-routines that define a program's functionality.

Here are the features:

· Division of large problems into small procedures and functions

· Absence of Go to statement

· Main statements include If-then-else, call, and case statements

· Inclusion of facilities for declaring entry points and external references

· Extensive set of operators include arithmetic, relational, logical, bit manipulation, shift, and part word operators

java is the language used in computer networking.

#include <iostream>

using namespace std;

int main()

{

const int max=26;

char c[max];

int i, j;

// Initialise array with letters of the alphabet (ascending order).

for(i=0; i<max; ++i )

c[i]='a'+i;

// Print array.

for(i=0; i<max; ++i)

cout<<c[i];

cout<<endl;

// Reverse array:

// work from both ends, swapping elements as we go,

// stopping when we reach the middle elements.

for(i=0, j=max-1; i<j; ++i, --j)

// Swap values without using a temporary variable.

c[i]^=c[j]^=c[i]^=c[j];

// Print array.

for(i=0; i<max; ++i)

cout<<c[i];

cout<<endl;

return(0);

}

Output:

abcdefghijklmnopqrstuvwxyz

zyxwvutsrqponmlkjihgfedcba

The protocols are supported by the IPP native Cups Protocols.

Variables can maintain the same value throughout a program, or they can change values several times, depending on your needs. when you put a variable in a program, the computer recognises the variable and you can change it's value throughout without an error. Note: You can write programs without variables, but their functionality will be quite restricted, like this:

int main (void) { puts ("hello, world"); return 0; }

High-level languages are easy to read and write. They are not machine dependent and portable from one computer to another. Assembly languages are machine dependent, easier to read than machine code but it's still not easy to read, and the assembler program translates the assembler program straight into machine code.

People feel like people dont care as much about the job They feel they are not paid enough and they feel like other people dont spend enough time working People feel like people dont care as much about the job They feel they are not paid enough and they feel like other people dont spend enough time working People feel like people dont care as much about the job They feel they are not paid enough and they feel like other people dont spend enough time working

All results have relationships that support the creation of the result.

Look up "Critical Thinking" in any search engine

An Argument is one of the relationships

Premise statements support the validity of the Argument

Inputs and Outputs are fed into and out of Premise statements to cause a change in the desired result.

This is basically how people solve problems logically, instead of instinctively.

Logic versus Trial-and-Error

There is no such thing as a fourth generation language.

Machine code is the first generation (the native language of the computer). Assembly language is the second generation (low-level symbolic language). All high-level (abstract) languages are third-generation.

Although some languages claim to be fourth-generation or even fifth-generation, they are meaningless terms used by marketing types that tell you nothing about a language's capability.

One major difference between ANN and biological NN is that the synaptic connections in bio neurons are either excitatory or inhibitory whereas the synaptic weights in an ANN have a range in both positive and negative values..

Strings are a type of variable in computer programming.

Simply put, they contain multiple characters which are "strung" together to make a piece of text. "Test", "House", and "Hello World!" are all excellent examples of what might be contained in a string.

As a result, strings are used to store and convey any textual information.

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Red-black trees are typically used in real-time applications, where worst-case guarantees are vital. Red-black trees often form the basis of other tree structures, including AVL trees and LLRB trees. Computational geometry, scheduling and language dictionaries are other possible applications for RB-based trees. They are also used in functional programming as a persistent data structure.