Algorithm
Examples - Fundamentals You Should Know
Let's
talk about some algorithm
examples... Could you
tell me how to prepare a bowl of cereals with milk?
Too simple?
|
You
can probably give me a series of
easy instructions that I can perform in less than a minute...
Now try telling a computer
to do just
that. What began as
a simple task has
now become complicated...
It's not just a
matter of dumping a cup of cereals in a bowl and pouring milk in. |
With computers, it's so
much more than
that. Sounds
interesting? It
should
be.
Because that's what you'll expect once you
begin learning algorithm creation or computer
programming fundamentals.
The basics
Algorithm
creation is a whole new world of
possibilities. Believe
it or not,
programming has
grown both as an art and as a science, providing us with the
technologies that have made many aspects of our lives easier and faster.
Once you start
learning computer programming, some of the
basic stuff you'll encounter include:
The basic
understanding of algorithms
You'll
need a good
background in the field in order for
you to understand how it really works.
With a solid foundation built on knowing the
basics of computer
programming, it will be easier to learn and comprehend its details,
including
algorithms, procedures,
steps and other instructions.
Understanding the
types of programming
Essentially,
there are
two basic types of programming,
each of which has its own uses and set of advantages and limitations. Procedural programming,
while older, is quite
useful particularly because it is a much simpler way to tell a computer
what to
do. It is also the
heart and soul of
many computer languages. Basically,
it's
an input-output operation, where a user or programmer inputs a set of
instructions and a computer reacts to it by executing those
instructions. Learning
procedural programming helps new
programmers understand elements such as sequence, selection and
iteration.
| The other type
of
programming
is object-oriented,
which
is relatively newer. This
type of
programming treats instructions as a set of objects, something that is
more
convenient in many of the programs that are in use today. With object-oriented
programming, you'll
learn an object's properties, event handlers and methods. |
|
You'll learn both
types of programming as part of a
fundamental or basic course. These
will
help you understand how to design codes that are easy for a computer to
understand and effective enough to execute.
Using the cereal and milk analogy, for
example, you will be able to
write a code that will tell a computer how to pour the right amount of
cereal
into a bowl and how much milk to use, in that order.
And if you're truly good, you can even tell
the computer what specific type of cereal and milk to use.
Understanding the
nature of the code
Another
important
basic knowledge you must learn in
programming is understanding codes.
While their functions are generally the same –
that is, to power a
computer program – codes differ in design and use depending on the
language. Codes are
at the heart of a
computer program and will be one of the basics you will learn in
programming.
Learning
problem-solving
Much
of your time as a
first-time computer programmer
will be spent understanding the problems themselves – how to create a
source code for a
desired
end result, how to fix a bug, how to solve a glitch, how to put things
together
or in sequence so they work. You'll
learn how to look at a problem, break it down to its solvable
components and
come up with ways to solve it.
Thinking logically
If
you're not a fan of
mathematics
and logic, you'll be
dismayed to know that many of the computer programming fundamentals
you'll be
learning will require you to think in numbers, figures and sequences. However, these basics are
easy to learn,
provided you have the patience to follow the right steps. Once you've trained your
mind to think like
this, you're well on your way to a great career as a computer
programmer.
Some easy Algorithm Examples in this site
Euclidean
Algorithm - GCD
Derivatives
Fibonacci
Series
Lucas Series
Taylor
Expansion
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