The solution to the single-source shortest-path tree problem in graph theory. This slide was prepared for Design and Analysis of Algorithm Lab for B.Tech CSE 2nd Year 4th Semester.
One of the main reasons for the popularity of Dijkstra's Algorithm is that it is one of the most important and useful algorithms available for generating (exact) optimal solutions to a large class of shortest path problems. The point being that this class of problems is extremely important theoretically, practically, as well as educationally.
Shortest path search for real road networks and dynamic costs with pgRoutingantonpa
This presentation will show the inside and current state of pgRouting
development. It will explain the shortest path search in real road
networks and how the data structure is important for getting better
routing results. We will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. We will demonstrate the way of using pgRouting together with other Open Source tools. Also you will learn about difficulties and limitations of implementing routing functionality in GIS applications, the difference between algorithms and their performance.
pgRouting is an extension of PostgreSQL and PostGIS. A predecessor of
pgRouting - pgDijkstra, written by Sylvain Pasche from Camptocamp, was
extended by Orkney (Japan) and renamed to pgRouting, which now is a part of the PostLBS project.
pgRouting can perform:
* shortest path search (with 3 different algorithms)
* Traveling Salesperson Problem solution (TSP)
* driving distance geometry calculation
A Power Law in statistics is defined as an efficient connection between two measures, where a comparative modification in one measure effects in a proportional comparative modification in the other measure, irrespective of the primary scope of those measures; once measure differs as an influence of another. Copy the link given below and paste it in new browser window to get more information on Power Law:- http://www.transtutors.com/homework-help/statistics/power-law.aspx
The solution to the single-source shortest-path tree problem in graph theory. This slide was prepared for Design and Analysis of Algorithm Lab for B.Tech CSE 2nd Year 4th Semester.
One of the main reasons for the popularity of Dijkstra's Algorithm is that it is one of the most important and useful algorithms available for generating (exact) optimal solutions to a large class of shortest path problems. The point being that this class of problems is extremely important theoretically, practically, as well as educationally.
Shortest path search for real road networks and dynamic costs with pgRoutingantonpa
This presentation will show the inside and current state of pgRouting
development. It will explain the shortest path search in real road
networks and how the data structure is important for getting better
routing results. We will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. We will demonstrate the way of using pgRouting together with other Open Source tools. Also you will learn about difficulties and limitations of implementing routing functionality in GIS applications, the difference between algorithms and their performance.
pgRouting is an extension of PostgreSQL and PostGIS. A predecessor of
pgRouting - pgDijkstra, written by Sylvain Pasche from Camptocamp, was
extended by Orkney (Japan) and renamed to pgRouting, which now is a part of the PostLBS project.
pgRouting can perform:
* shortest path search (with 3 different algorithms)
* Traveling Salesperson Problem solution (TSP)
* driving distance geometry calculation
A Power Law in statistics is defined as an efficient connection between two measures, where a comparative modification in one measure effects in a proportional comparative modification in the other measure, irrespective of the primary scope of those measures; once measure differs as an influence of another. Copy the link given below and paste it in new browser window to get more information on Power Law:- http://www.transtutors.com/homework-help/statistics/power-law.aspx
As we have realized in the class of Graph Algorithms, many problems can be represented as a graph. For example, we could be a electrical machine company with different possible sources of parts to the production of a particular engine.
Therefore, we want to minimize the transit between node in the graph.... we can use the Minimum Spanning Tree to obtain a really efficient distribution tree.
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYFransiskeran
Since the ancient determination of the five platonic solids the study of symmetry and regularity has always
been one of the most fascinating aspects of mathematics. One intriguing phenomenon of studies in graph
theory is the fact that quite often arithmetic regularity properties of a graph imply the existence of many
symmetries, i.e. large automorphism group G. In some important special situation higher degree of
regularity means that G is an automorphism group of finite geometry. For example, a glance through the
list of distance regular graphs of diameter d < 3 reveals the fact that most of them are connected with
classical Lie geometry. Theory of distance regular graphs is an important part of algebraic combinatorics
and its applications such as coding theory, communication networks, and block design. An important tool
for investigation of such graphs is their spectra, which is the set of eigenvalues of adjacency matrix of a
graph. Let G be a finite simple group of Lie type and X be the set homogeneous elements of the associated
geometry.
Graph is a non-linear data structure used to represent the connection between entities.
consists of vertices and edges.
Directed
In a directed graph, edges have a specific direction. They represent relationship where one node points to another i.e., edges go from one vertex to another.
undirected:
Undirected graphs have bidirectional edges. They represent symmetric relationships, like friendships on a social networks
by uj and za
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
1. KUVEMPU UNIVERSITY Department of Computer Science Jnana Sahyadri Shankarghatta Seminar on “ Kruskal’s Algorithm ” Presented by, Chaitra.M.S 3 rd sem , M.Sc, Dept. Of Computer Science, Shankarghatta. Under the guidance of, Suresh.M, Dept. Of Computer Science, Shankarghatta.