Disjoint jobs

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...Engineering*,* 3(4): 427-459, as a framework for the comparisons. (Available from <>) Examples of the issues you may wish to consider are: - Does the model allow n-ary relationships or not? - How does the model represent cardinality and participation constraints? - The *place* the constraints are specified on the model. - How are overlapping and disjoint subclass entities depicted? - How is complete and partial specialization depicted? Also you may wish to comment on the readability of each model. (“*Making Data Models Readable, David Hay Information Systems Management,* 15(1), Winter 1998, pp 21-33, *reprinted at <>).* You may also wish to add other elements; for example

...Engineering*,* 3(4): 427-459, as a framework for the comparisons. (Available from <>) Examples of the issues you may wish to consider are: - Does the model allow n-ary relationships or not? - How does the model represent cardinality and participation constraints? - The *place* the constraints are specified on the model. - How are overlapping and disjoint subclass entities depicted? - How is complete and partial specialization depicted? Also you may wish to comment on the readability of each model. (“*Making Data Models Readable, David Hay Information Systems Management,* 15(1), Winter 1998, pp 21-33, *reprinted at <>).* You may also wish to add other elements; for example

...developing the diagram Identify all the real world entities. Give a candidate key and suitable attributes for each entity. Indicate clearly the multi-valued attributes. Show clearly the weak entities and determine its relationship with the owner entities Identify the Super/ subtype entity available in the given scenario. Identify the constraints on the generalization/specialization as either disjoint or overlapping Identify the relationships among the entities. Indicate clearly the cardinality of each relationship. Show the attributes for each relationship, if any. Give any additional semantic feature of the relationships such as total participation or partial participation. Draw a complete EER diagram. Step Two Use the EER from Task 1 to derive the relations. Explain and...

...developing the diagram Identify all the real world entities. Give a candidate key and suitable attributes for each entity. Indicate clearly the multi-valued attributes. Show clearly the weak entities and determine its relationship with the owner entities Identify the Super/ subtype entity available in the given scenario. Identify the constraints on the generalization/specialization as either disjoint or overlapping Identify the relationships among the entities. Indicate clearly the cardinality of each relationship. Show the attributes for each relationship, if any. Give any additional semantic feature of the relationships such as total participation or partial participation. Draw a complete EER diagram. Step Two Use the EER from Task 1 to derive the relations. Explain and...

...the original boundary geometry must also be expressed in the output such as holes and multiple, disjoint polygons. If clipping causes a cell to be broken into multiple polygons, that is okay. Details: -It may be assumed that all coordinates will be supplied in a projected, fixed-length coordinate system such as UTM. This means that width and depth are the same throughout the domain. -The AB line may be any orientation or value (not larger than double precision). -The AB line must define the boundary between one column and row of cells and the next. Thus, pointA should reside at a cell corner vertext. -The AB line segment represents an infinite, directed line. The AB segment may be disjoint from the boundary geometry. In this case, a new pointA may be defined as the p...

...boundary – a Polygon or MultiPolygon; the geometry to which the grid should be clipped. depth – double; the depth or length of a grid cell as measured in the direction of the AB line. Output: ClippedHexagonTessellation – a MultiPolygon in which each Polygon is a hexagonal cell. All geometry in the original boundary geometry must also be expressed in the output such as holes and multiple, disjoint polygons. If clipping causes a cell to be broken into multiple polygons, that is okay. Hexagons should be oriented with ‘pointed ends’ at a 45 degree angle. Details: -It may be assumed that all coordinates will be supplied in a projected, fixed-length coordinate system such as UTM. This means that width and depth are the same throughout the...

...original boundary geometry must also be expressed in the output such as holes and multiple, disjoint polygons. If clipping causes a cell to be broken into multiple polygons, that is okay. Details: -It may be assumed that all coordinates will be supplied in a projected, fixed-length coordinate system such as UTM. This means that width and depth are the same throughout the domain. -The AB line may be any orientation or value (not larger than double precision). -The AB line must define the boundary between one column and row of cells and the next. Thus, pointA should reside at a cell corner vertext. -The AB line segment represents an infinite, directed line. The AB segment may be disjoint from the boundary geometry. In this case, a new pointA may be defi...

I need a disjoint rollover created to highlight the Products at www.jeansonfriday.com. This is a stationery company that offers products from several vendors and we need to create a clean, functional, good looking rollover that will highlight each vendor. I can supply images for the rollover.

This is the third assignment of a data structure class. There are three parts to this exercise. You are to create a generic priority queue implementation, a (union-find) disjoint subsets implementation and finally, using both these data types, create the create_tour function of a Traveling Salesperson Problem. You need to provide the following nine files: PQueue., DisjointSubsets., create_tour.. You are required to keep me posted daily. You can read the detail description of the assignment from the pdf file attached or from this link. <~cs100w/public/ASSIGNMENT/> The requirement on the um and lm files can be view at <~cs100w/public/HANDOUTS/> You will find all needed/given files and test cases for this assignment

... such that *op1* *<**_* *op2* *;* where *op1* is the *last* operator that you pushed onto the stack. At the beginning of the shift action, apply this rule with *op1* equal to the *topmost* operator on the stack. When this condition is no longer satisfied, stop shifting. Now consider the reduce action. The rule for a reduce action is: Scan the stack from top to bottom, collecting in two disjoint lists the *operator* symbols and the expressions that are *not operators*. (Note that these lists will initially be empty.) Stop scanning when *_* the *next* expression on the stack is an operator, call it *op1* , and *_* the *previous* operator that you scanned, call it *op2*, satisfies the condition *op1* *<**_* *op2* *:* Finally, consider the transitions between shi...

...txt" and builds its own mazes using Disjoint Set data and Union/Find operations. **Must implement Union-by-size and Find-with-Path-Compression. ** Size of maze will be specific in "", one maze per line. Each line will contain two integers seperated by blank. _The first is the number of rows in a maze and the second is the number of columns. This file may specify either square or rectangler mazes and mazes of same size multiple times. _Algorithm MUST use a random number generator to decide which wall to tear down. It will be tested by whether the program generates different mazes given the same maze size during different executions. The algorithm MUST stop knocking down walls when every cell is reachable from every other cell, i.e. the Disjoint set ...

This is due on Sunday August 1 at 9PM PST. Please view attached files and make sure you are able to do this before bidding. Please also include a makefile and test cases as well. Thank you. ## Deliverables 1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done. 2) Deliverables must be in ready-to-run condition, as follows (depending on the nature of the deliverables): a) For web sites or other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment. b) For all others including desktop software or software the buyer intends to distribute: A software installation package th...

In this assignment, you are required to implement Kruskal's algorithm to find the minimum cost spanning tree of an undirected graph. You must use two important data structures, Priority Queue and Union/Find on Disjoint Sets, to solve this problem. This should guarantee your implementation to be an efficient one. The input from a file will consist of the number of vertices n in the graph (numbered 1 to n), and edge descriptions. An edge description specifies the two vertices connected by that edge, and the cost (or weight) of the edge. e.g., a simple input might be ... 3 (3 vertices in the graph numbered 0, 1, and 2) 0 2 54 (edge connects vertices 0 and 2, cost = 54) 1 2 3 (edge connects vertices 1 and 2, cost = 3) 0 1 17 (edge connects vertices 0 and 1, cos...

...selecting additional candidate walls. We will stop when exactly r. c-1 wall have been removed as described above. The general algorithm consists of two phases. First determine the demolition probability/priority for each wall; it will be very convenient to store the walls within your priority queue. The second phase is to determine which walls to remove until enough walls are destroyed. Your disjoint subset methods will be useful in determining whether two rooms are currently connected. Finally, the collection of walls removed (a pair of rooms connected through an adjacent wall) are to be stored within a file. ## Deliverables 1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done. 2) Installation package tha...

Can you please help me with the below questions about disjoint SET ADT.. (Union Find algorithm) 1. Show the result of the following sequence of instructions: union(1,2), union(3,4), union(3,5), union(1,7), union(3,6), union(8,9), union(1,8), union(3,10), union(3,11), union(3,12), union(3,13), union(14,15), union(16,0), union(14,16), union(1,3), union(1,14) when the unions are performed arbitrarily. I hope the answer to this question is the above tree fig. I want answer to the below question: 2. For the tree in question 1, perform a find with path compression on the deepest node (using the information from above). Thank you.. ## Deliverables I need only the answers no source code now .. Can anybody help me with out a bid amount . But I will give the coding of this problem to you p...

...number of vertices and edges (with vertices simply being numbers 1 to V, V= total number). Implement Kruskal's algorithm in this environment so that you can compute the minimal spanning tree of a connected graph. Kruskal generates a sequence of edges as its output. To understand and use Kruskal, you will need code from Chapter 6 on priority queues as well as some of the code from Chapter 8 on disjoint sets. Then invoke Kruskal and compute your minimal spanning tree. On the result, show that the MST does span the graph by checking whether each and every node is on at least one edge in the MST; thus print a list of those that are not, or else output the message "MST does span the graph". (But your code has to perform the check!). As a final check, compute the average...

In this project you will use a disjoint set to keep track of connected cities. The input file attached(cities_map) has a list of cities. The file consists of a set of cities in rows and columns. Cities in a row are adjacent, as are cities in a column. We want to randomly form connections between adjacent cities until all cities are connected. To do this, use a disjoint set object. Number the cities as they are read. Create a disjoint set object so that there is one disjoint set per city. Now, randomly selected a pair of cities. If they are adjacent, see if they are connected. To do this, see if they are in the same set. If they are not connected, then union them in the set, and create a vertical or horizontal connection between them. When all c...

I need a help with a little project. The instrucctions are in the pdf attached. Modeling the following problem and then programming in MiniZinc: 1 Description of the Problem A large number of typical data analysis problems appearing in medicine and in numerous other areas can be formulated in the following way. Consider a dataset consisting of two disjoint sets O+ and O- of t-dimensional boolean vectors. For instance, with t = 8 we may have, O+ = {(0,0,1,0,1,0,0,0),(1,0,1,1,0,0,0,1),(0,1,0,1,0,0,1,1), (0,1,1,0,1,1,0,1),(0,0,1,0,1,1,1,1)} and O- = {(1,1,0,0,1,0,1,1),(0,1,0,0,1,1,0,0),(1,0,0,1,1,0,0,1)} Typically each vector appearing in the dataset corresponds to a patient or a set of similar patients, the vectors in O+ corresponding to patients having a specific medical condition...

I need a help with a little project. The instrucctions are in the pdf attached. Modeling the following problem and then programming in MiniZinc: 1 Description of the Problem A large number of typical data analysis problems appearing in medicine and in numerous other areas can be formulated in the following way. Consider a dataset consisting of two disjoint sets O+ and O- of t-dimensional boolean vectors. For instance, with t = 8 we may have, O+ = {(0,0,1,0,1,0,0,0),(1,0,1,1,0,0,0,1),(0,1,0,1,0,0,1,1), (0,1,1,0,1,1,0,1),(0,0,1,0,1,1,1,1)} and O- = {(1,1,0,0,1,0,1,1),(0,1,0,0,1,1,0,0),(1,0,0,1,1,0,0,1)} Typically each vector appearing in the dataset corresponds to a patient or a set of similar patients, the vectors in O+ corresponding to patients having a specific medical condition...

...only then they do not intersect) - the number of colors is the smallest possible Hint: some greedy strategy works. 7. Consider problem 6. Prove that the following strategy is incorrect (just show a counterexample - a suitable family of intervals F for which the result is not optimal): 1. Sort F on ascending right endpoint, set k&#61663;0 2. Compute G&#61663;a maximum size set of disjoint intervals (use Greedy-ASP) 3. k++ 4. Assign color k to all intervals in G 5. F&#61663;F-G 6. If F is empty then stop, otherwise go to 2. 8. Show that each of the following greedy strategies for the ASP does not work, by finding a list of activities for which it produces a solution that is not optimal. Give both the solution by the strategy and an optimal solution. (a) ...