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CS502 Quiz 2 Solution and Discussion
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The ________ given by DFS allow us to determine whether the graph contains any cycles. CS502 Order Time stamps Page 130 BFS traversing Topological sort [image: kWtCijV.png] 8.1.5 DFS - Cycles The time stamps given by DFS allow us to determine a number of things about a graph or digraph. For example, we can determine whether the graph contains any cycles. We do this with the help of the following two lemmas.
CS502 - Fundamentals of Algorithms
CS502 Assignment 1 Solution and Discussion
cyberianC
Re: CS502 Assignment No. 01 Solution and Discussion
CS502 - Fundamentals of Algorithms
The Huffman algorithm finds for?
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► Optimal ► Non-optimal ► Exponential ► Polynomial
CS502 - Fundamentals of Algorithms
What is generally true of Adjacency List and Adjacency Matrix representations of graphs?
M
In graph theory and computer science, an adjacency list is a collection of unordered lists used to represent a finite graph. Each list describes the set of neighbors of a vertex in the graph. This is one of several commonly used representations of graphs for use in computer programs.
CS502 - Fundamentals of Algorithms
CS502 Handouts
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Fundamentals of Algorithms - CS502 Handouts.pdf
CS502 - Fundamentals of Algorithms
CS502 GDB 1 Solution and Discussion
zareenZ
Consider that a tourist wants to travel between Karachi and Hunza cities in minimum possible span. The road map available has marked distance between each pair of adjacent cities. The time available to the tourist has limited and he/she require to find the shortest possible route between Karachi and Hunza. In the given scenario, the possible solution may be adopted from the following set of algorithms. Bellman ford’s Algorithm Flyod Warshal’s Algorithm Dijkstra's Algorithm Breadth-first-search algorithm You are required to select the possible and most reasonable algorithm for the given scenario. Support you answer with solid reasons.
CS502 - Fundamentals of Algorithms
CS502 Assignment 3 Solution and Discussion
zareenZ
Assignment No. 03 SEMESTER Fall 2019 CS502- Fundamentals of Algorithms Total Marks: 20 Due Date: 15/01/2020 Instructions Please read the following instructions carefully before solving & submitting assignment: It should be clear that your assignment will not get any credit if: • The assignment is submitted after due date. • The submitted assignment does not open or file corrupt. • The assignment is fully or partially copied from (other student or ditto copy from handouts or internet). • Student ID is not mentioned in the assignment File or name of file is other than student ID. • The assignment is not submitted in .doc or .docx format. Uploading instructions Your submission must include: • Assignment should be in .doc or .docx format. • Save your assignment with your ID (e.g. bx180200786.doc). Assignment submission through email is NOT acceptable Objective The objective of this assignment is • To give basic knowledge and understanding of Graphs. • To develop the understanding between adjacency list and adjacency matrix representations. Note: Your answer must follow the below given specifications. • Font style: “Times New Roman” • Font color: “Black” • Font size: “12” • Bold for heading only. • Font in Italic is not allowed at all. • No formatting or bullets are allowed to use. • Your answer should be precise and to the point, avoid irrelevant detail. Lectures Covered: This assignment covers Lecture # 28 Deadline Your assignment must be uploaded/submitted at or before 15/01/2020. Assignment Statement: Everywhere we see objects and some sort of interaction between them. If we are needed to model this connection or relationship between them, the graphs is a good way to model it. A graph G = (V, E) consists of a finite set of vertices V (or nodes) and E, a binary relation on V called edges. E is a set of pairs from V. If a pair is ordered, we have a directed graph. For unordered pair, we have an undirected graph. There are two ways of representing graphs: using an adjacency matrix and using an adjacency list. Question No 01: (Marks: 10) Draw an undirected Graph for the following Adjacency list representation as given below, [image: UpPt7RI.png] Question No 02: (Marks: 10) Draw a directed graph for the following matrix format representation, [image: phVL6cO.png] =====================================Ended======================================= For any query about the assignment, contact at CS502@vu.edu.pk GOOD LUCK
CS502 - Fundamentals of Algorithms
CS502 Assignment No. 02 Solution and Discussion
zareenZ
Assignment No. 02 SEMESTER Fall 2019 CS502- Fundamentals of Algorithms Total Marks: 20 Due Date: 27/11/2019 Instructions Please read the following instructions carefully before solving & submitting assignment: It should be clear that your assignment will not get any credit if: • The assignment is submitted after due date. • The submitted assignment does not open or file corrupt. • The assignment is full or partially copied from (other student or ditto copy from handouts or internet). • Student ID is not mentioned in the assignment File or name of file is other than student ID. • The assignment is not submitted in .doc or .docx format. Uploading instructions Your submission must include: • Assignment should be in .doc or .docx format. • Save your assignment with your ID (e.g. bx180200786.doc). Assignment submission through email is NOT acceptable Objective The objective of this assignment is • To give basic knowledge and understanding of Algorithms. • To be able to design sorting algorithms. • To be able to understand and calculate the complexity of algorithms. Note: Your answer must follow the below given specifications. • Font style: “Times New Roman” • Font color: “Black” • Font size: “12” • Bold for heading only. • Font in Italic is not allowed at all. • No formatting or bullets are allowed to use. • Your answer should be precise and to the point, avoid irrelevant detail. Lectures Covered: This assignment covers Lecture # 09 - 14 Deadline Your assignment must be uploaded/submitted at or before 27/11/2019. Assignment diagram: [image: ISyleYl.png] Consider the given diagram having an unsorted array and its sorting procedure through dry run. You are required to answer the following questions. Question No 01: (Marks: 5) You are required to determine (write down the name) the algorithm being used while sorting the above given array. Question No 02: (Marks: 7) You are required to design (write) the algorithm (Only Pseudo code) determined in Question 1. Question No 03: (Marks: 8) You are required to calculate (Step by Step) the worst case time complexity T(n) of the algorithm designed in Question No. 02. =====================================Ended======================================= For any query about the assignment, contact at CS502@vu.edu.pk GOOD LUCK
CS502 - Fundamentals of Algorithms
CS502 Midterm Solved Papers Mid and Final
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CS502 - Fundamentals of Algorithms
CS502 Assignment No. 01 Solution and Discussion
zareenZ
Assignment No. 01 SEMESTER Fall 2019 CS502- Fundamentals of Algorithms Total Marks: 20 Due Date: 13/11/2019 Instructions Please read the following instructions carefully before solving & submitting assignment: It should be clear that your assignment will not get any credit if: • The assignment is submitted after due date. • The submitted assignment does not open or file corrupt. • The assignment is full or partially copied from (other student or ditto copy from handouts or internet). • Student ID is not mentioned in the assignment File or name of file is other than student ID. • The assignment is not submitted in .doc or .docx format. Uploading instructions Your submission must include: • Assignment should be in .doc or .docx format. • Save your assignment with your ID (e.g. bx180200786.doc). Assignment submission through email is NOT acceptable Objective The objective of this assignment is • To give basic knowledge and understanding of Algorithms. • To be able to design simple algorithms. • To be able to understand and calculate the complexity of algorithms. Note: Your answer must follow the below given specifications. • Font style: “Times New Roman” • Font color: “Black” • Font size: “12” • Bold for heading only. • Font in Italic is not allowed at all. • No formatting or bullets are allowed to use. • Your answer should be precise and to the point, avoid irrelevant detail. Lectures Covered: This assignment covers Lecture # 01 - 06 Deadline Your assignment must be uploaded/submitted at or before 13/11/2019. Assignment Statement: In mathematics Prime is a number which can be only divisible by 1 and itself. Examples of prime numbers are, 1 , 3 , 5 , 7 , 11 , 13 , 17 , 19 , 23 , 29 , 31 etc. When these numbers get large, then it is very difficult to manually identify them as to be prime or not prime. For example the numbers like, 443 and 44371 cannot easily identify as Prime. There may be many algorithms which can be written for the identification of a number to be prime or not prime. Question No 01: (Marks: 10) You are required to design (write) a simple algorithm (Only Pseudo code) which can identify a number to be Prime or Not Prime. Question No 02: (Marks: 10) You are required to calculate (Step by Step) the worst case time complexity T(n) of the algorithm designed in Question No. 01. =====================================Ended======================================= For any query about the assignment, contact at CS502@vu.edu.pk GOOD LUCK
CS502 - Fundamentals of Algorithms
CS502 Quiz 1 Solution and Discussion
zareenZ
Opening Dec 11, 2019 Closing Dec 12, 2019
CS502 - Fundamentals of Algorithms

CS502 Quiz 2 Solution and Discussion

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cs502quiz 2solutiondiscussionfall 2019
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  • M Offline
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    moaaz
    Cyberian's Gold
    wrote on last edited by moaaz
    #1

    The ________ given by DFS allow us to determine whether the graph contains any cycles. CS502

    • Order

    • Time stamps Page 130

    • BFS traversing

    • Topological sort

    e6ac3d19-c36b-4817-855d-57b85e421b68-image.png

    8.1.5 DFS - Cycles
    The time stamps given by DFS allow us to determine a number of things about a graph or digraph.
    For example, we can determine whether the graph contains any cycles. We do this with the help of the following two lemmas.

    Discussion is right way to get Solution of the every assignment, Quiz and GDB.
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      moaaz
      Cyberian's Gold
      wrote on last edited by moaaz
      #2

      We say that two vertices u and v are mutually not reachable if u can reach v and vice versa. CS502

      • True Page No. 135
      • False

      8f51310c-d8e0-4973-b325-c6680ff127cb-image.png

      A digraph is strongly connected if for every pair of vertices u, v∈V,u can reach v and vice versa.

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        moaaz
        Cyberian's Gold
        wrote on last edited by moaaz
        #3

        There are no ________ edges in undirected graph. CS502

        • Forward
        • Back
        • Cross
        • Both Forward and Back Page No. 130

        85948814-5601-47e3-8c1b-e07a81295587-image.png
        For undirected graphs, there is no distinction between forward and back edges.

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          moaaz
          Cyberian's Gold
          wrote on last edited by moaaz
          #4

          In computing the strongly connected components of a digraph, vertices of the digraph are not partitioned into subsets. CS502

          • True
          • False Page No.135

          006639aa-e9db-4d84-aa28-8d45a0077238-image.png

          We partition the vertices of the digraph into subsets such that the induced sub graph of each subset is strongly connected.

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            moaaz
            Cyberian's Gold
            wrote on last edited by moaaz
            #5

            You have an adjacency list for G, what is the time complexity to compute Graph transpose G^T.? CS502 ?

            • (V + E) Page No.138
            • V E
            • V
            • E

            04ac8d73-a0fc-4599-b55f-0783827ca2e1-image.png

            We will discuss the algorithm without proof. Define GT to be the digraph with the same vertex set at G but in which all edges have been reversed in direction. This is shown in Figure 8.38. Given an adjacency list for G, it is possible to compute G Tin Θ (V+E) time.

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              moaaz
              Cyberian's Gold
              wrote on last edited by moaaz
              #6

              Digraphs are not used in communication and transportation networks. CS502

              • True
              • False Page No.135

              b94832fd-0844-458d-bac8-da04d6a6e9a2-image.png

              Strong Components:
              We consider an important connectivity problem with digraphs. When diagraphs are used in communication and transportation networks, people want to know that their networks are complete.

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                moaaz
                Cyberian's Gold
                wrote on last edited by moaaz
                #7

                For traversing graphs, Breadth-first search can be visualized as a wave front propagating inwards towards root (or source) node. CS502

                • True
                • False Page No.117

                7bca315f-cfae-45fc-ad80-f75703426b00-image.png

                Breadth-first Search:
                Here is a more efficient algorithm called the breadth-first search (BFS) Start with s and visit its adjacent nodes. Label them with distance 1. Now consider the neighbors of neighbors of s. These would be at distance 2. Now consider the neighbors of neighbors of neighbors of s. These would be at distance 3. Repeat this until no more unvisited neighbors left to visit. The algorithm can be visualized as a wave front propagating outwards from s visiting the vertices in bands at ever increasing distances from s.

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                  moaaz
                  Cyberian's Gold
                  wrote on last edited by moaaz
                  #8

                  In strong components algorithm, first of all DFS is run for computing finish times of vertices. CS502

                  • [d[u], f[u]]⊆[d[v], f[v]]
                  • [d[u], f[u]]⊇[d[v], f[v]]
                  • unrelated Page No.129
                  • Disjoint

                  eba9d7b3-7308-4775-9b01-2a62ce935ec1-image.png

                  The ancestor and descendent relation can be nicely inferred by the parenthesis lemma. u is a descendent of v if and only if [d[u], f[u]]⊆[d[v], f[v]]. u is a ancestor of v if and only if[d[u], f[u]]⊇[d[v], f[v]]. u is unrelated to v if and only if[d[u], f[u]]and[d[v], f[v]]are disjoint. The is shown in Figure 8.26. The width of the rectangle associated with a vertex is equal to the time the vertex was discovered till the time the vertex was completely processed (colored black). Imagine an opening parenthesis ‘(’ at the start of the rectangle and and closing parenthesis ‘)’ at the end of the rectangle. The rectangle (parentheses) for vertex ‘b’ is completely enclosed by the rectangle for ‘a’. Rectangle for ‘c’ is completely enclosed by vertex ‘b’ rectangle.

                  1ef3265c-c43b-4f86-b0e3-de47babbd3ff-image.png

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                    moaaz
                    Cyberian's Gold
                    wrote on last edited by moaaz
                    #9

                    In strong components algorithm, first of all DFS is run for computing finish times of vertices. CS502

                    • True Page No.138
                    • False

                    8b530b5c-5a5e-4f87-8010-bccb5d28f22a-image.png

                    This is presented in Figure 8.37. Recall that the component DAG consists of super vertices.

                    5cf9148a-bd09-4696-87ef-b6de10a1ed71-image.png

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                      moaaz
                      Cyberian's Gold
                      wrote on last edited by moaaz
                      #10

                      A graph is not connected if every vertex can reach every other vertex. CS502

                      • True
                      • False Page No. 116

                      2c02c5dd-0811-49fc-9811-b18004bab115-image.png
                      A graph is said to be acyclic if it contains no cycles. A graph is connected if every vertex can reach every other vertex. A directed graph that is acyclic is called a directed acyclic graph (DAG).

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                      • M moaaz

                        A graph is not connected if every vertex can reach every other vertex. CS502

                        • True
                        • False Page No. 116

                        2c02c5dd-0811-49fc-9811-b18004bab115-image.png
                        A graph is said to be acyclic if it contains no cycles. A graph is connected if every vertex can reach every other vertex. A directed graph that is acyclic is called a directed acyclic graph (DAG).

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                        Ainhashmi
                        wrote on last edited by
                        #11

                        @moaaz ok.

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                        • M moaaz

                          For traversing graphs, Breadth-first search can be visualized as a wave front propagating inwards towards root (or source) node. CS502

                          • True
                          • False Page No.117

                          7bca315f-cfae-45fc-ad80-f75703426b00-image.png

                          Breadth-first Search:
                          Here is a more efficient algorithm called the breadth-first search (BFS) Start with s and visit its adjacent nodes. Label them with distance 1. Now consider the neighbors of neighbors of s. These would be at distance 2. Now consider the neighbors of neighbors of neighbors of s. These would be at distance 3. Repeat this until no more unvisited neighbors left to visit. The algorithm can be visualized as a wave front propagating outwards from s visiting the vertices in bands at ever increasing distances from s.

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                          Ainhashmi
                          wrote on last edited by
                          #12

                          @moaaz okey… But it’s not understood coz It’s not my subject

                          cyberianC 1 Reply Last reply
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                            moaaz
                            Cyberian's Gold
                            wrote on last edited by
                            #13

                            What general property of the list indicates that the graph has an isolated vertex?

                            • There is Null pointer at the end of list.

                            • The Isolated vertex is not handled in list.

                            • Only one value is entered in the list.

                            • There is at least one null list.

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                            • M moaaz

                              What general property of the list indicates that the graph has an isolated vertex?

                              • There is Null pointer at the end of list.

                              • The Isolated vertex is not handled in list.

                              • Only one value is entered in the list.

                              • There is at least one null list.

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                              moaaz
                              Cyberian's Gold
                              wrote on last edited by
                              #14

                              @moaaz said in CS502 Quiz 2 Solution and Discussion:

                              What general property of the list indicates that the graph has an isolated vertex?

                              The Isolated vertex is not handled in list.

                              Discussion is right way to get Solution of the every assignment, Quiz and GDB.
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                              • A Ainhashmi

                                @moaaz okey… But it’s not understood coz It’s not my subject

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                                cyberian
                                Cyberian's Cyberian's Gold
                                wrote on last edited by
                                #15

                                @Ainhashmi you can choose in categories where you expect.

                                Discussion is right way to get Solution of the every assignment, Quiz and GDB.
                                We are always here to discuss and Guideline, Please Don't visit Cyberian only for Solution.
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                                • M moaaz

                                  For traversing graphs, Breadth-first search can be visualized as a wave front propagating inwards towards root (or source) node. CS502

                                  • True
                                  • False Page No.117

                                  7bca315f-cfae-45fc-ad80-f75703426b00-image.png

                                  Breadth-first Search:
                                  Here is a more efficient algorithm called the breadth-first search (BFS) Start with s and visit its adjacent nodes. Label them with distance 1. Now consider the neighbors of neighbors of s. These would be at distance 2. Now consider the neighbors of neighbors of neighbors of s. These would be at distance 3. Repeat this until no more unvisited neighbors left to visit. The algorithm can be visualized as a wave front propagating outwards from s visiting the vertices in bands at ever increasing distances from s.

                                  cyberianC Offline
                                  cyberianC Offline
                                  cyberian
                                  Cyberian's Cyberian's Gold
                                  wrote on last edited by
                                  #16

                                  @moaaz said in CS502 Quiz 2 Solution and Discussion:

                                  For traversing graphs, Breadth-first search can be visualized as a wave front propagating inwards towards root (or source) node. CS502

                                  For traversing the graphs, Breadth-First Search (BFS) can be visualized as a wavefront propagating inward towards the root node.

                                  Discussion is right way to get Solution of the every assignment, Quiz and GDB.
                                  We are always here to discuss and Guideline, Please Don't visit Cyberian only for Solution.
                                  Cyberian Team always happy to facilitate to provide the idea solution. Please don't hesitate to contact us!
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