Over consecutive directed edge that uses all the

Over the years, the concept of Hamiltonian
circuits has been used in different sectors
especially when deciding the shortest route in order to increase
efficiency. Hamiltonian Circuit is a
consecutive directed edge that uses all the vertex of a graph once. Hamilton’s circuit also referred to as
Hamiltonian Cycle. It is a closed loop representation that comes in contact
with the node once. Hamiltonian Circuits is
renamed after the inventor, Sir William
Rowan Hamilton who also devised Hamilton’s puzzle modernly known as from a
simple game known as Icosian.It entails
locating the Hamiltonian circuit in the graphs apex. It is important to note
that a graph is Hamilton only when there a Hamilton cycle is contained.

Mathematically a Hamiltonian Path is either a directed or undirected graph that
comes in contact with the vertex once. The only exception is that the vertex is
provided at the beginning and termination art that is checked two times in
graphical theory and representation the Hamiltonians path is a series of
vertices and edges whereby every vertex is included once.

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Some properties of Hamiltonian circuits
include conversion from a Hamiltonian path to a Hamiltonian cycle can be
achieved via removal of one of the edges (Bode, Anika, and Arnfried).

Adjustments can be made to the Hamiltonian path and the possibility of
extension to become a Hamiltonian cycle only when the endpoints are adjacent.

Any connection with more than two vertices is Hamiltonian only when there is a
strong connection. There are assumptions that the cycles are similar apart from
the beginning point and thus are counted together. There is a broad figure of
the various Hamiltonian Cycles contained in a comprehensive purposeful graph of
n- apexes that mean (n-1)! /2 whereas in
a far-reaching concentrating graph of n-vertices that is simply (n-1)!

Real world
application of Hamiltonian circuits

People use the Hamiltonian circuits in so
many ways without even acknowledging it. Hamiltonian circuits can be applied to currency calculations and conversion,
various measurements as well as in time variance calculations(Breuckmann, and Barbara).The Hamiltonian circuits help solve everyday
problems. If the vertices are to represent stationary points and the edges to
stand in for connection points such as roads between the points which in real
life can represent institutions such as Mailboxes,
shops, and malls. The important aspect is
to move between points thus visit every stationary point.

According to Breuckmann, and Barbara, instances
which require an individual to check in
all locations such, as traveling
salesperson that has intent on finding
the optimal Hamiltonian’s path. In the resultant problem, the edges of the graph have
a weight that is associated with
it in form of numbers. Here the salesperson needs to undertake the Hamiltonian
path with the least weight in order to cut on travel
costs and time. An advantage enjoyed is that once someone has come up with an
algorithm to find a Hamiltonian cycle he is now left with the chance to select
the best cycle to solve the traveling salesman problem

There are
several methods for solving the Travelling Sales Person problem that use
algorithms to go about it. Some of the examples of these approaches are the
brute force algorithm, cheapest link algorithm, nearest
neighbor algorithm, and repetitive
nearest neighbor algorithm.

The brute
force algorithm

A number of steps are followed to ensure
that this algorithm works. Ideally, one
starts with identifying all possible Hamilton circuits without indicating the
exact reversals, secondly find the weight of them and finally select the path
with the smallest weight. The main advantage is that when given ample time and
space it works always without fail (Audibert, 835-865). However, on the downside, it
can only be used for small representations

link algorithm

In order to efficiently utilize this method, an individual has to select the edge
with the smallest weight that is often substituted for the cheapest. An
individual has to follow this process continuously unless there is a collision
with the smaller circuit or the three selected edges pop from a single vertex (Audibert,
835-865). This process continues until the Hamilton Circuit is Complete. The
resulting solution is the Hamilton Circuit

neighbor algorithm

understand this technique it is important to visualize and map out the problem
equating it to the neighborhood (Audibert, 835-865). We commence at a vertex,
secondly travel to the vertex which we could equate it to the part of the
neighborhood you haven’t yet visited whose path contains the smallest weight
(we can represent this as the closest city) but should there be a tie a random
selection is conducted. This process continues until one has traveled all the cities. Finally one travels
back to the vertex (one’s home). The resulting path is the Hamilton circuit.

nearest neighbor algorithm

This algorithm uses similar concept to the nearest neighbor algorithm (Audibert,
835-865). Here one chooses the best solution (the one that has the smallest
weight). Should there be a  need for an individual to rewrites this solution
starting with a particular vertex that is considered home. Hamilton circuit can also be applied when finding a Knight’s
tour (Gould,18). This is a challenge to get the knight to move to every space
on board of chess only once. This is equitable to locating a Hamiltonian path
in the graph and hereby describing all the possible moves of the knight on the
chess board. This illustration is relevant in that the graph of the Knight’s
moves has a Hamiltonian path.

Other illustrations for the Hamilton
circuit include garbage truck, bus
terminus, tyre pressure readings.

Hamiltonian circuits help us solve the routing programs. These are problems
that the solution attempt the ideal way
for routing and directing things among different locations. They are broadly
instances in transport, communication and service delivery, water meter
inspections, mail delivery. This is necessary since they meet at the vertex
within a group.

Additional instances where the Hamiltonian
circuit is regularly used include traffic signals inspection and delivery of
meals to the elderly. When planning for a vacation whereby the areas to be
visited are graphed, a decision is made on the best route to take and also one
that has the shortest distance. The Hamiltonian circuit helps in the planning of routes activities, saves collision
that would occur due to route mismanagement and simplification of tasks that
they appear seamless (Gould, 23). They also help in management and control of
traffic without the need for supervision.

In mathematics and related fields, the Hamiltonian path also referred to
as the traceable path is that defined path that is either directed or
undirected graph that visits the vertex singularly (Gould,33). To identify
whether a graph shall exhibit a Hamiltonians path there are ways devised to
achieve that. For the basic graphs ideally,
that can be done by hand however for complex graphs a direct approach is not
appropriate as it will not provide a solution in record time. The existence of
Hamiltonians circuit mathematicians would always be forced to exhaust any
possible clue, link or path in order to prove it. This is tiresome and could be
a lifelong experience.  Large and
difficult graphs could be realized.


The Hamilton circuit helps mathematicians
to optimally find solutions at a faster rate whether for simple or complicated
graphs. The Icosian game that Sir William Hamilton introduced later came to be
known as the Hamilton Circuit problem. The main objective of this game was to
ensure that all nodes and vertices were visited ideally at a single passing
before returning to the start node. Graphically speaking a Hamiltonians circuit
is referred to as a basic simple complete cycle that contains every vertex of
the graph with the only exception being made to the visited to complete the
cycle. A Hamilton graph is said to be so if it contains a Hamilton circuit. The
Hamilton circuit helps mathematicians to optimally find solutions at a faster
rate whether for simple or complicated graphs. A search execution procedure is
used to verify whether Hamilton circuits exist in a given graph and identifies
all of them.



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