Hamiltonian circuit practice problems

You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas.

Hamiltonian Circuit Problems

We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision.

We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others.

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Next we discuss inherently hard problems for which no exact good solutions are known and not likely to be found and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing.

Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset. Another great course in this specialization with challenging and interesting assignments. However, this one is somewhat harder but rewarding. This is a very challenging course in the specialization.

I learned a lot form going through the programming assignments! Although many of the algorithms you've learned so far are applied in practice a lot, it turns out that the world is dominated by real-world problems without a known provably efficient algorithm. Many of these problems can be reduced to one of the classical problems called NP-complete problems which either cannot be solved by a polynomial algorithm or solving any one of them would win you a million dollars see Millenium Prize Problems and eternal worldwide fame for solving the main problem of computer science called P vs NP.

It's good to know this before trying to solve a problem before the tomorrow's deadline : Although these problems are very unlikely to be solvable efficiently in the nearest future, people always come up with various workarounds.

In this module you will study the classical NP-complete problems and the reductions between them. You will also practice solving large instances of some of these problems despite their hardness using very efficient specialized software based on tons of research in the area of NP-complete problems.

hamiltonian circuit practice problems

Loupe Copy. Advanced Algorithms and Complexity. Course 5 of 6 in the Data Structures and Algorithms Specialization. Enroll for Free. From the lesson. Brute Force Search Search Problems Traveling Salesman Problem Hamiltonian Cycle Problem Longest Path Problem In the last section, we considered optimizing a walking route for a postal carrier.

How is this different than the requirements of a package delivery driver? While the postal carrier needed to walk down every street edge to deliver the mail, the package delivery driver instead needs to visit every one of a set of delivery locations. Instead of looking for a circuit that covers every edge once, the package deliverer is interested in a circuit that visits every vertex once. A Hamiltonian circuit is a circuit that visits every vertex once with no repeats.

Being a circuit, it must start and end at the same vertex. A Hamiltonian path also visits every vertex once with no repeats, but does not have to start and end at the same vertex.

One Hamiltonian circuit is shown on the graph below. There are several other Hamiltonian circuits possible on this graph. Notice that the circuit only has to visit every vertex once; it does not need to use every edge. Notice that the same circuit could be written in reverse order, or starting and ending at a different vertex.

Unlike with Euler circuits, there is no nice theorem that allows us to instantly determine whether or not a Hamiltonian circuit exists for all graphs. We can see that once we travel to vertex E there is no way to leave without returning to C, so there is no possibility of a Hamiltonian circuit.

With Hamiltonian circuits, our focus will not be on existence, but on the question of optimization; given a graph where the edges have weights, can we find the optimal Hamiltonian circuit; the one with lowest total weight.

This problem is called the Traveling salesman problem TSP because the question can be framed like this: Suppose a salesman needs to give sales pitches in four cities. He looks up the airfares between each city, and puts the costs in a graph. In what order should he travel to visit each city once then return home with the lowest cost? To answer this question of how to find the lowest cost Hamiltonian circuit, we will consider some possible approaches.

The first option that might come to mind is to just try all different possible circuits. To apply the Brute force algorithm, we list all possible Hamiltonian circuits and calculate their weight:. Note: These are the unique circuits on this graph. All other possible circuits are the reverse of the listed ones or start at a different vertex, but result in the same weights.

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The Brute force algorithm is optimal; it will always produce the Hamiltonian circuit with minimum weight. Is it efficient? To answer that question, we need to consider how many Hamiltonian circuits a graph could have.

This is called a complete graph. Suppose we had a complete graph with five vertices like the air travel graph above. From Seattle there are four cities we can visit first.Prerequisite — Graph Theory Basics Certain graph problems deal with finding a path between two vertices such that each edge is traversed exactly once, or finding a path between two vertices while visiting each vertex exactly once.

These paths are better known as Euler path and Hamiltonian path respectively. There are simple criteria for determining whether a multigraph has a Euler path or a Euler circuit. For any multigraph to have a Euler circuit, all the degrees of the vertices must be even. Proof of the above statement is that every time a circuit passes through a vertex, it adds twice to its degree.

Since it is a circuit, it starts and ends at the same vertex, which makes it contribute one degree when the circuit starts and one when it ends. In this way, every vertex has an even degree. Since the Koningsberg graph has vertices having odd degrees, a Euler circuit does not exist in the graph.

The proof is an extension of the proof given above. Since a path may start and end at different vertices, the vertices where the path starts and ends are allowed to have odd degrees. Hamilonian Path — A simple path in a graph that passes through every vertex exactly once is called a Hamiltonian path. Hamilonian Circuit — A simple circuit in a graph that passes through every vertex exactly once is called a Hamiltonian circuit. Unlike Euler paths and circuits, there is no simple necessary and sufficient criteria to determine if there are any Hamiltonian paths or circuits in a graph.

But there are certain criteria which rule out the existence of a Hamiltonian circuit in a graph, such as- if there is a vertex of degree one in a graph then it is impossible for it to have a Hamiltonian circuit. There are certain theorems which give sufficient but not necessary conditions for the existence of Hamiltonian graphs. As mentioned above that the above theorems are sufficient but not necessary conditions for the existence of a Hamiltonian circuit in a graph, there are certain graphs which have a Hamiltonian circuit but do not follow the conditions in the above-mentioned theorem.

For example, the cycle has a Hamiltonian circuit but does not follow the theorems. Note: K n is Hamiltonian circuit for. There are many practical problems which can be solved by finding the optimal Hamiltonian circuit.

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One such problem is the Travelling Salesman Problem which asks for the shortest route through a set of cities. Practicing the following questions will help you test your knowledge. It is highly recommended that you practice them. This article is contributed by Chirag Manwani.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above. Writing code in comment?In the next lesson, we will investigate specific kinds of paths through a graph called Euler paths and circuits.

Hamilton circuit

Euler paths are an optimal path through a graph. They are named after him because it was Euler who first defined them. By counting the number of vertices of a graph, and their degree we can determine whether a graph has an Euler path or circuit. We will also learn another algorithm that will allow us to find an Euler circuit once we determine that a graph has one.

Because Euler first studied this question, these types of paths are named after him.

Hamiltonian Cycle | Backtracking-6

An Euler path is a path that uses every edge in a graph with no repeats. Being a path, it does not have to return to the starting vertex. In the graph shown below, there are several Euler paths. The path is shown in arrows to the right, with the order of edges numbered. An Euler circuit is a circuit that uses every edge in a graph with no repeats. Being a circuit, it must start and end at the same vertex. The graph below has several possible Euler circuits.

The second is shown in arrows. Look back at the example used for Euler paths—does that graph have an Euler circuit? A few tries will tell you no; that graph does not have an Euler circuit. When we were working with shortest paths, we were interested in the optimal path. Why do we care if an Euler circuit exists?

Think back to our housing development lawn inspector from the beginning of the chapter. The lawn inspector is interested in walking as little as possible.In the mathematical field of graph theorya Hamiltonian path or traceable path is a path in an undirected or directed graph that visits each vertex exactly once. A Hamiltonian cycle or Hamiltonian circuit is a Hamiltonian path that is a cycle. Determining whether such paths and cycles exist in graphs is the Hamiltonian path problemwhich is NP-complete.

Hamiltonian paths and cycles are named after William Rowan Hamilton who invented the icosian gamenow also known as Hamilton's puzzlewhich involves finding a Hamiltonian cycle in the edge graph of the dodecahedron. Hamilton solved this problem using the icosian calculusan algebraic structure based on roots of unity with many similarities to the quaternions also invented by Hamilton. This solution does not generalize to arbitrary graphs.

Despite being named after Hamilton, Hamiltonian cycles in polyhedra had also been studied a year earlier by Thomas Kirkmanwho, in particular, gave an example of a polyhedron without Hamiltonian cycles.

A Hamiltonian path or traceable path is a path that visits each vertex of the graph exactly once. A graph that contains a Hamiltonian path is called a traceable graph. A graph is Hamiltonian-connected if for every pair of vertices there is a Hamiltonian path between the two vertices. A Hamiltonian cycleHamiltonian circuitvertex tour or graph cycle is a cycle that visits each vertex exactly once.

A graph that contains a Hamiltonian cycle is called a Hamiltonian graph. Similar notions may be defined for directed graphswhere each edge arc of a path or cycle can only be traced in a single direction i. A Hamiltonian decomposition is an edge decomposition of a graph into Hamiltonian circuits. A Hamilton maze is a type of logic puzzle in which the goal is to find the unique Hamiltonian cycle in a given graph.

Any Hamiltonian cycle can be converted to a Hamiltonian path by removing one of its edges, but a Hamiltonian path can be extended to Hamiltonian cycle only if its endpoints are adjacent. All Hamiltonian graphs are biconnectedbut a biconnected graph need not be Hamiltonian see, for example, the Petersen graph.

An Eulerian graph G a connected graph in which every vertex has even degree necessarily has an Euler tour, a closed walk passing through each edge of G exactly once. This tour corresponds to a Hamiltonian cycle in the line graph L Gso the line graph of every Eulerian graph is Hamiltonian. Line graphs may have other Hamiltonian cycles that do not correspond to Euler tours, and in particular the line graph L G of every Hamiltonian graph G is itself Hamiltonian, regardless of whether the graph G is Eulerian.

A tournament with more than two vertices is Hamiltonian if and only if it is strongly connected. These counts assume that cycles that are the same apart from their starting point are not counted separately. Hamiltonicity has been widely studied with relation to various parameters such as graph densitytoughnessforbidden subgraphs and distance among other parameters. As complete graphs are Hamiltonian, all graphs whose closure is complete are Hamiltonian, which is the content of the following earlier theorems by Dirac and Ore.

The number of vertices must be doubled because each undirected edge corresponds to two directed arcs and thus the degree of a vertex in the directed graph is twice the degree in the undirected graph. The above theorem can only recognize the existence of a Hamiltonian path in a graph and not a Hamiltonian Cycle.

Many of these results have analogues for balanced bipartite graphsin which the vertex degrees are compared to the number of vertices on a single side of the bipartition rather than the number of vertices in the whole graph. An algebraic representation of the Hamiltonian cycles of a given weighted digraph whose arcs are assigned weights from a certain ground field is the Hamiltonian cycle polynomial of its weighted adjacency matrix defined as the sum of the products of the arc weights of the digraph's Hamiltonian cycles.

This polynomial is not identically zero as a function in the arc weights if and only if the digraph is Hamiltonian. The relationship between the computational complexities of computing it and computing the permanent was shown in Kogan From Wikipedia, the free encyclopedia.

This article is about the nature of Hamiltonian paths.After you enable Flash, refresh this page and the presentation should play. Get the plugin now. Toggle navigation. Help Preferences Sign up Log in. To view this presentation, you'll need to allow Flash. Click to allow Flash After you enable Flash, refresh this page and the presentation should play. View by Category Toggle navigation. Products Sold on our sister site CrystalGraphics.

Title: Hamiltonian Circuits and Paths. Description: This can be shown by drawing a complete graph where the vertices represent the players. In the planar representation of the game, Tags: circuits drawing graph hamiltonian paths planar. Latest Highest Rated. Title: Hamiltonian Circuits and Paths 1 Hamiltonian Circuits and Paths 2 Exploration Lets pretend that you are a city inspector but this time you must inspect the fire hydrants that are located at each of the street intersections.

To optimize your route, you must find a path that begins at the garage, G, visits each intersection exactly once, and returns to the garage. Notice that only one path meets these criteria. Also notice, that is not necessary that every edge of the graph be traversed when visiting each vertex exactly once. The game consisted of a graph in which the vertices represented major cities in Europe. In honor of Hamilton and the his game, a path that uses each vertex of a graph exactly once is known as a Hamiltonian path.

If the path ends at the starting vertex, it is called a Hamiltonian circuit. The search continues but it now appears that a general solution may be impossible.

Unfortunately, the theorem does not tell us how to find the circuit. By inspection, the second figure has a Hamiltonian circuit but the last figure does not. If we consider a competition where every player must play every other player. This can be shown by drawing a complete graph where the vertices represent the players. This type of digraph is known as a tournament.

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One interesting property of such a digraph is that every tournament contains a Hamilton path which implies that at the end of the tournament it is possible to rank the teams in order, from winner to loser. The results are as follows Draw a digraph to represent the tournament. Find a Hamiltonian path and then rank the participants from winner to loser. Therefore, D is first, B is second, A is third and C is fourth. Explain why.

Hamiltonian Cycle Problem

Construct a graph that has both an Euler and a Hamiltonian circuit. Construct a graph that has neither an Euler now a Hamiltonian circuit. Hamiltons Icosian game was played on a wooden regular dodecahedron. In the planar representation of the game, find a Hamiltonian circuit for the graph.

Is there only one Hamiltonian circuit for the graph?Hamiltonian Path in an undirected graph is a path that visits each vertex exactly once. A Hamiltonian cycle or Hamiltonian circuit is a Hamiltonian Path such that there is an edge in the graph from the last vertex to the first vertex of the Hamiltonian Path. Determine whether a given graph contains Hamiltonian Cycle or not.

If it contains, then prints the path. Following are the input and output of the required function. Input: A 2D array graph[V][V] where V is the number of vertices in graph and graph[V][V] is adjacency matrix representation of the graph. A value graph[i][j] is 1 if there is a direct edge from i to j, otherwise graph[i][j] is 0.

hamiltonian circuit practice problems

Output: An array path[V] that should contain the Hamiltonian Path. The code should also return false if there is no Hamiltonian Cycle in the graph. Naive Algorithm Generate all possible configurations of vertices and print a configuration that satisfies the given constraints. There will be n! Backtracking Algorithm Create an empty path array and add vertex 0 to it. Add other vertices, starting from the vertex 1.

Before adding a vertex, check for whether it is adjacent to the previously added vertex and not already added. If we find such a vertex, we add the vertex as part of the solution. If we do not find a vertex then we return false.

hamiltonian circuit practice problems

Implementation of Backtracking solution Following are implementations of the Backtracking solution. Note that the above code always prints cycle starting from 0. The starting point should not matter as the cycle can be started from any point. If you want to change the starting point, you should make two changes to the above code. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

Writing code in comment? Please use ide.

6.4 Hamiltonian Cycle - Backtracking

This step can be optimized by creating. We don't try for 0 as. Hamiltonian Cycle constructed so far. It mainly uses hamCycleUtil to. It returns false if there is no.