ALL UNIVERSITIES AND SERVICE COMMISSIONS PAST PAPERS IN PAKISTAN: 2/10/13

Saturday, February 16, 2013

::: vuaskari.com :::

thanks

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Re: ::: vuaskari.com ::: MGT601 Quiz no.04 Cancellation and Quiz no.05

Ali khan agar apnay quiz solve kiye thay tu share karein . jazakALLAH khair!

On Mon, Feb 11, 2013 at 11:06 AM, Ali Khann <ddrc14@gmail.com> wrote:

Quiz no.04 Cancellation and Quiz no.05 Dated: Feb 08, 13

Important announcement

Quiz no.04 Cancellation and quiz no.05

SME Management (MGT601)

Dear Students

It has been observed that erroneously quiz no.04 is showing only two questions thus the quiz no.04 has been declared as non-graded. Kindly note, a new graded quiz will be opened on the following dates.

Quiz 5

Opening date: 12 February, 2013

Closing date: 14 February, 2013.

Instructions:

·       You can start attempting the quiz at any time but within given date(s) by clicking the quick link for Quiz on VU-LMS as it will become enabled within the mentioned dates. As soon as the time will be over, it will automatically be disabled and will not be available to attempt it.

·       Quiz will be based on Multiple Choice Questions (MCQs). Covering video Lectures 15 to 35.

·       Each question has a fixed time limit of 90 seconds. So you have to save your answer before 90 seconds. But due to unpredictable/unstable Internet speed, it is strongly recommended that you save your answer within 60 seconds to avoid any inconvenience. While attempting a question, keep an eye on the remaining time.

·       Attempting quiz is unidirectional. Once you have moved forward to the next question, you will not be able to go back to the previous one. Therefore before moving to the next question, make sure that you have selected the best option and saved your answer.

·       DO NOT press back button of your browser or refresh the page while attempting a question. Otherwise you will lose the chance of attempting the current question and a new question will be loaded.

·       DO NOT try to disable "Java Script" in your browser; otherwise you will not be able to attempt the quiz.

·       If for any reason, you lose access to Internet (like power failure or disconnection of Internet); you will be able to attempt the quiz again but from the next question where you left in last attempt. But remember that you have to complete the quiz before expiry of the deadline.

·       If you failed to attempt the quiz in given time then no re-take or off line quiz will be held as compensation/replacement.

Note related to load shedding: Please be proactive

Dear students!

As you know that Post Mid-Term semester activities have been started and load shedding problem is also prevailing in our country now a days. Keeping in view the fact, you all are advised to post your activities as early as possible without waiting for the due date. For your convenience; activity schedule has already been uploaded on VULMS for the current semester, therefore no excuse will be entertained after due date of assignments, quizzes or GDBs.

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سبحان الله وبحمده سبحان الله العظيم.

::: vuaskari.com ::: CS507 Solved Final term papers

Attachment!

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::: vuaskari.com ::: MGT503 Final terms solved

Attachment!

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Re: ::: vuaskari.com ::: Need Guess Paper :)

On Sat, Feb 16, 2013 at 5:31 PM, Zeeshan Ahmad <zeeshan193@gmail.com> wrote:

Need guess paper for FINAL TERM......

CS507 - Information Systems
FIN621 - Financial Statement Analysis

MGT402 - Cost & Management Accounting

MGT503 - Principles of Management

MKT501 - Marketing Management

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Ali Khan * ©yberian *

::: vuaskari.com ::: MGT501 Final term Material

Find Attachment!

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Ali Khan * ©yberian *

::: vuaskari.com ::: Need Guess Paper :)

Need guess paper for FINAL TERM......

CS507 - Information Systems

FIN621 - Financial Statement Analysis

MGT402 - Cost & Management Accounting

MGT503 - Principles of Management

MKT501 - Marketing Management

::: vuaskari.com ::: plz send me mgt 501 pastpapers!!!!

::: vuaskari.com ::: MGT502 Final term Solved papers

Find Attachment!

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Ali Khan * *©yberian* <ddrc14@gmail.com> *

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::: vuaskari.com ::: ENG301 Final term Solved papers

Find Attachment,

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Ali Khan * *©yberian* <ddrc14@gmail.com> *

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::: vuaskari.com ::: IT430 Final term Solved papers

find Attachment

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Regards
Ali Khan * *©yberian* <ddrc14@gmail.com> *

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Re: ::: vuaskari.com ::: aoa

Atatchment

On 2/15/13, Azmi <azmays@gmail.com> wrote:
> plzz maughy mgt601 k finalterm paper chay plzzzzzzzzzzzzzzzzzzzzzzzzz
>
>
> On Fri, Feb 15, 2013 at 9:15 AM, Azmi <azmays@gmail.com> wrote:
>
>> plzz maughy mgt601 k finalterm paper chay plzzzzzzzzzzzzzzzzzzzzzzzzz
>>
>>
>> On Sun, Feb 10, 2013 at 9:20 AM, Azmi <azmays@gmail.com> wrote:
>>
>>> plzz maughy mgt601 k finalterm paper chay plzzzzzzzzzzzzzzzzzzzzzzzzz
>>>
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>>>
>>>
>>
>>
>
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Ali Khan * *©yberian* <ddrc14@gmail.com> *

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Re: ::: vuaskari.com ::: Happy Birth Day Admin DuaWaqar

Greetings of any kind not allowed my dear ;)

On 2/16/13, Zahid Adnan <zahidchand2000@gmail.com> wrote:
> Many Many Happy returnes of the day ,, Happy Birth day Admin Dua waqar g ,,
> best of luck ,, be happy with ur kids and family
> --
> *M.Zahid <M.Z@h!d> Adnan <Adn@n>*
> *MIT Final Semester*
> Layyah Campus
> *Cs410,Cs502,Cs601,Cs604,Mgt501,Mgt602*
> * **
> *
>
> --
> We say, "Be one as Pakistani Nation and grow up for Pakistan's Future". Wish
> you all the best. Join www.vuaskari.com,
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>

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::: vuaskari.com ::: Happy Birth Day Admin DuaWaqar

Many Many Happy returnes of the day ,, Happy Birth day Admin Dua waqar g ,, best of luck ,, be happy with ur kids and family
--

    M.Zahid Adnan
     MIT Final Semester
   Layyah Campus

Cs410,Cs502,Cs601,Cs604,Mgt501,Mgt602

Friday, February 15, 2013

Re: ::: vuaskari.com ::: Request for Required final term solved papers those subject

if any1 hav ECO404 final term papers thn plz send.

On Mon, Feb 11, 2013 at 1:08 PM, Rj Babloo <rjbabloo796@gmail.com> wrote:

On Mon, Feb 11, 2013 at 1:07 PM, Rj Babloo <rjbabloo796@gmail.com> wrote:

Requested for past paper

IT430

mgt 502

mgt501

sta301

eng301

--
Hi main ho Rj Ali

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Re: ::: vuaskari.com ::: Viva

no idea. i am also waiting for same...

On Thu, Feb 14, 2013 at 9:10 PM, Ajmal Gondal <malkandi@gmail.com> wrote:

Dear fellows,
Any idea when power point presentations of Project would start, or how difficult the viva is?
Best Regards

On Feb 13, 2013 4:42 PM, "Muhammad Asif" <itsvividmirror@gmail.com> wrote:

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::: vuaskari.com ::: CS502 QUIZ NO.5 DATED FEB 15 2013

CS502 - Fundamentals of Algorithms

Quiz No.5 Dated FEB 15^TH 2013

In in-place sorting algorithm is one that uses arrays for storage :
An additional array

No additional array (Right Answer)

Both of above may be true according to algorithm

More than 3 arrays of one dimension.

The running time of quick sort depends heavily on the selection of

No of inputs

Arrangement of elements in array

Size o elements

Pivot element (Right Answer)

In stable sorting algorithm

One array is used

In which duplicating elements are not handled.

More then one arrays are required.

Duplicating elements remain in same relative position after sorting. (Right Answer)

Which sorting algorithn is faster :

O(n^2)

O(nlogn)

O(n+k) (Right Answer)

O(n^3)

In Quick sort algorithm,constants hidden in T(n lg n) are

Large

Medium

Not known

Small (Right Answer)

Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:

There is explicit combine process as well to conquer the solutin. (Right Answer)

No work is needed to combine the sub-arrays, the array is already sorted

Merging the subarrays

None of above.

There is relationship between number of back edges and number of cycles in DFS

Select correct option:

Both are equal.

Cycles are half of back edges.

Cycles are one fourth of back edges.

There is no relationship between back edges and number of cycle (Right Answer)

You have an adjacency list for G, what is the time complexity to compute Graph

transpose G^T ?

Select correct option:

(V+E) (Right Answer)

V.E

Question # 3 of 10 ( Start time: 06:54:27 PM ) Total Marks: 1

You have an adjacency list for G, what is the time complexity to compute Graph

transpose G^T.?

?(V + E) Right Answer)

?(V E)

?(V)

?(V^2)

What is the time complexity to extract a vertex from the priority queue in Prim's

algorithm?

Select correct option:

log (V) (Right Answer)

V.V

E.E

log (E)

Dijkstra's algorithm :

Select correct option:

Has greedy approach to find all shortest paths

Has both greedy and Dynamic approach to find all shortest paths

Has greedy approach to compute single source shortest paths to all other vertices (Right Answer)

Has both greedy and dynamic approach to compute single source shortest paths to all other vertices.

What algorithm technique is used in the implementation of Kruskal solution for the

MST?

Greedy Technique (Right Answer)

Divide-and-Conquer Technique

Dynamic Programming Technique

The algorithm combines more than one of the above techniques

What is the time complexity to extract a vertex from the priority queue in Prim's

algorithm?

Select correct option:

O (log E)

? (V)

? (V+E)

O (log V) (Right Answer)

Which is true statement in the following.

Kruskal algorithm is multiple source technique for finding MST.

Kruskal's algorithm is used to find minimum spanning tree of a graph, time complexity of this algorithm is O(EV)

Both of above

Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best Tree edge) when the graph has relatively few edges ) (Right Answer)

The relationship between number of back edges and number of cycles in DFS is,

Both are equal

Back edges are half of cycles

Back edges are one quarter of cycles

There is no relationship between no. of edges and cycles (Right Answer)

Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best tree

edge) when the graph has relatively few edges.

True (Right Answer)

False

What is the time complexity to extract a vertex from the priority queue in Prim's

algorithm?

Select correct option:

log (V)

V.V

E.E

log (E)

Suppose that a graph G = (V,E) is implemented using adjacency lists. What is the complexity of a breadth-first traversal of G?

Select correct option:

O(|V |^2)

O(|V | |E|) (Right Answer)

O(|V |^2|E|)

O(|V | + |E|)

What is generally true of Adjacency List and Adjacency Matrix representations of graphs?

Select correct option:

Lists require less space than matrices but take longer to find the weight of an edge (v1,v2)

Lists require less space than matrices and they are faster to find the weight of an edge (v1, v2) Right Answer)

Lists require more space than matrices and they take longer to find the weight of an edge (v1, v2)

Lists require more space than matrices but are faster to find the weight of an edge (v1, v2)

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

Select correct option:

There is Null pointer at the end of list.

The Isolated vertex is not handled in list. (not Sure)

Only one value is entered in the list.

There is at least one null list.

A dense undirected graph is:

Select correct option:

A graph in which E = O(V^2) (Right Answer)

A graph in which E = O(V)

A graph in which E = O(log V)

All items above may be used to characterize a dense undirected graph

In digraph G=(V,E) ;G has cycle if and only if

Select correct option:

The DFS forest has forward edge.

The DFS forest has back edge (Right Answer)

The DFS forest has both back and forward edge

BFS forest has forward edge

Back edge is:

Select correct option:

(u, v) where v is an ancestor of u in the tree. (Right Answer)

(u,v) where u is an ancesstor of v in the tree.

(u, v) where v is an predcessor of u in the tree.

None of above

Using ASCII standard the string "abacdaacacwe" will be encoded with __________ bits

Select correct option:

128 (Right Answer)

120

Cross edge is :

Select correct option:

(u, v) where u and v are not ancestor of one another

(u, v) where u is ancesstor of v and v is not descendent of u.

(u, v) where u and v are not ancestor or descendent of one another (Right Answer)

(u, v) where u and v are either ancestor or descendent of one another.

Which statement is true?

Select correct option:

If a dynamic-programming problem satisfies the optimal-substructure property, then a locally optimal solution is globally optimal.

If a greedy choice property satisfies the optimal-substructure property, then a locally optimal solution is globally optimal.

Both of above Right Answer)

None of above

10 If you find yourself in maze the better traversel approach will bE

A dense undirected graph is:

Select correct option:

A graph in which E = O(V^2) (Right Answer)

A graph in which E = O(V)

A graph in which E = O(log V)

All items above may be used to characterize a dense undirected graph

Which is true statement.

Select correct option:

Breadth first search is shortest path algorithm that works on un-weighted graphs (Right Answer)

Depth first search is shortest path algorithm that works on un-weighted graphs.

Both of above are true.

None of above are true.

Forward edge is:

Select correct option:

(u, v) where u is a proper descendent of v in the tree.

(u, v) where v is a proper descendent of u in the tree. (Right Answer)

(u, v) where v is a proper ancesstor of u in the tree.

(u, v) where u is a proper ancesstor of v in the tree.

Back edge is:

Select correct option:

(u, v) where v is an ancestor of u in the tree. (Right Answer)

(u,v) where u is an ancesstor of v in the tree.

(u, v) where v is an predcessor of u in the tree.

None of above

Suppose that a graph G = (V,E) is implemented using adjacency lists. What is the complexity of a breadth-first traversal of G?

Select correct option:

O(|V |^2)

O(|V | |E|) (Right Answer)

O(|V |^2|E|)

O(|V | + |E|)

In digraph G=(V,E) ;G has cycle if and only if

Select correct option:

The DFS forest has forward edge.

The DFS forest has back edge (Right Answer)

The DFS forest has both back and forward edge

BFS forest has forward edge

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

Select correct option:

There is Null pointer at the end of list.

The Isolated vertex is not handled in list. (not Sure)

Only one value is entered in the list.

There is at least one null list.

If you find yourself in maze the better traversel approach will be :

BFS

BFS and DFS both are valid (Right Answer)

Level order

DFS

Cross edge is :

(u, v) where u and v are not ancestor of one another

(u, v) where u is ancesstor of v and v is not descendent of u.

(u, v) where u and v are not ancestor or descendent of one another (Right Answer)

(u, v) where u and v are either ancestor or descendent of one another.

What algorithm technique is used in the implementation of Kruskal solution for the MST?

Greedy Technique (Right Answer)

Divide-and-Conquer Technique

Dynamic Programming Technique

The algorithm combines more than one of the above techniques

Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best tree edge) when the graph has relatively few

True (Right Answer)

False

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

?(V + E) Right Answer)

? (V E)

? (V)

? (V^2)

A digraph is strongly connected under what condition?

A digraph is strongly connected if for every pair of vertices u, v e V, u can reach v .

A digraph is strongly connected if for every pair of vertices u, v e V, u can reach v and vice versa. (Right Answer)

A digraph is strongly connected if for at least one pair of vertex u, v e V, u can reach v and vice versa.

A digraph is strongly connected if at least one third pair of vertices u, v e V, u can reach v and vice versa.

The relationship between number of back edges and number of cycles in DFS is,

Both are equal

Back edges are half of cycles

Back edges are one quarter of cycles

There is no relationship between no. of edges and cycles (Right Answer)

What algorithm technique is used in the implementation of Kruskal solution for the MST?

Greedy Technique (Right Answer)

Divide-and-Conquer Technique

Dynamic Programming Technique

The algorithm combines more than one of the above techniques

In in-place sorting algorithm is one that uses arrays for storage :
An additional array

No additional array (Right Answer)

Both of above may be true according to algorithm

More than 3 arrays of one dimension.

The running time of quick sort depends heavily on the selection of

No of inputs

Arrangement of elements in array

Size o elements

Pivot element (Right Answer)

In stable sorting algorithm

One array is used

In which duplicating elements are not handled.

More then one arrays are required.

Duplicating elements remain in same relative position after sorting. (Right Answer)

Which sorting algorithn is faster :

O(n^2)

O(nlogn)

O(n+k) (Right Answer)

O(n^3)

In Quick sort algorithm,constants hidden in T(n lg n) are

Large

Medium

Not known

Small (Right Answer)

Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:

There is explicit combine process as well to conquer the solutin. (Right Answer)

No work is needed to combine the sub-arrays, the array is already sorted

Merging the subarrays

None of above.

There is relationship between number of back edges and number of cycles in DFS

Select correct option:

Both are equal.

Cycles are half of back edges.

Cycles are one fourth of back edges.

There is no relationship between back edges and number of cycle (Right Answer)

You have an adjacency list for G, what is the time complexity to compute Graph

transpose G^T ?

Select correct option:

(V+E) (Right Answer)

V.E

Question # 3 of 10 ( Start time: 06:54:27 PM ) Total Marks: 1

You have an adjacency list for G, what is the time complexity to compute Graph

transpose G^T.?

?(V + E) Right Answer)

?(V E)

?(V)

?(V^2)

What is the time complexity to extract a vertex from the priority queue in Prim's

algorithm?

Select correct option:

log (V) (Right Answer)

V.V

E.E

log (E)

Dijkstra's algorithm :

Select correct option:

Has greedy approach to find all shortest paths

Has both greedy and Dynamic approach to find all shortest paths

Has greedy approach to compute single source shortest paths to all other vertices (Right Answer)

Has both greedy and dynamic approach to compute single source shortest paths to all other vertices.

What algorithm technique is used in the implementation of Kruskal solution for the

MST?

Greedy Technique (Right Answer)

Divide-and-Conquer Technique

Dynamic Programming Technique

The algorithm combines more than one of the above techniques

What is the time complexity to extract a vertex from the priority queue in Prim's

algorithm?

Select correct option:

O (log E)

? (V)

? (V+E)

O (log V) (Right Answer)

Which is true statement in the following.

Kruskal algorithm is multiple source technique for finding MST.

Kruskal's algorithm is used to find minimum spanning tree of a graph, time complexity of this algorithm is O(EV)

Both of above

Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best Tree edge) when the graph has relatively few edges ) (Right Answer)

The relationship between number of back edges and number of cycles in DFS is,

Both are equal

Back edges are half of cycles

Back edges are one quarter of cycles

There is no relationship between no. of edges and cycles (Right Answer)

Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best tree

edge) when the graph has relatively few edges.

True (Right Answer)

False

What is the time complexity to extract a vertex from the priority queue in Prim's

algorithm?

Select correct option:

log (V)

V.V

E.E

log (E)

Suppose that a graph G = (V,E) is implemented using adjacency lists. What is the complexity of a breadth-first traversal of G?

Select correct option:

O(|V |^2)

O(|V | |E|) (Right Answer)

O(|V |^2|E|)

O(|V | + |E|)

What is generally true of Adjacency List and Adjacency Matrix representations of graphs?

Select correct option:

Lists require less space than matrices but take longer to find the weight of an edge (v1,v2)

Lists require less space than matrices and they are faster to find the weight of an edge (v1, v2) Right Answer)

Lists require more space than matrices and they take longer to find the weight of an edge (v1, v2)

Lists require more space than matrices but are faster to find the weight of an edge (v1, v2)

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

Select correct option:

There is Null pointer at the end of list.

The Isolated vertex is not handled in list. (not Sure)

Only one value is entered in the list.

There is at least one null list.

A dense undirected graph is:

Select correct option:

A graph in which E = O(V^2) (Right Answer)

A graph in which E = O(V)

A graph in which E = O(log V)

All items above may be used to characterize a dense undirected graph

In digraph G=(V,E) ;G has cycle if and only if

Select correct option:

The DFS forest has forward edge.

The DFS forest has back edge (Right Answer)

The DFS forest has both back and forward edge

BFS forest has forward edge

Back edge is:

Select correct option:

(u, v) where v is an ancestor of u in the tree. (Right Answer)

(u,v) where u is an ancesstor of v in the tree.

(u, v) where v is an predcessor of u in the tree.

None of above

Using ASCII standard the string "abacdaacacwe" will be encoded with __________ bits

Select correct option:

128 (Right Answer)

120

Cross edge is :

Select correct option:

(u, v) where u and v are not ancestor of one another

(u, v) where u is ancesstor of v and v is not descendent of u.

(u, v) where u and v are not ancestor or descendent of one another (Right Answer)

(u, v) where u and v are either ancestor or descendent of one another.

Which statement is true?

Select correct option:

If a dynamic-programming problem satisfies the optimal-substructure property, then a locally optimal solution is globally optimal.

If a greedy choice property satisfies the optimal-substructure property, then a locally optimal solution is globally optimal.

Both of above Right Answer)

None of above

10 If you find yourself in maze the better traversel approach will bE

A dense undirected graph is:

Select correct option:

A graph in which E = O(V^2) (Right Answer)

A graph in which E = O(V)

A graph in which E = O(log V)

All items above may be used to characterize a dense undirected graph

Which is true statement.

Select correct option:

Breadth first search is shortest path algorithm that works on un-weighted graphs (Right Answer)

Depth first search is shortest path algorithm that works on un-weighted graphs.

Both of above are true.

None of above are true.

Forward edge is:

Select correct option:

(u, v) where u is a proper descendent of v in the tree.

(u, v) where v is a proper descendent of u in the tree. (Right Answer)

(u, v) where v is a proper ancesstor of u in the tree.

(u, v) where u is a proper ancesstor of v in the tree.

Back edge is:

Select correct option:

(u, v) where v is an ancestor of u in the tree. (Right Answer)

(u,v) where u is an ancesstor of v in the tree.

(u, v) where v is an predcessor of u in the tree.

None of above

Suppose that a graph G = (V,E) is implemented using adjacency lists. What is the complexity of a breadth-first traversal of G?

Select correct option:

O(|V |^2)

O(|V | |E|) (Right Answer)

O(|V |^2|E|)

O(|V | + |E|)

In digraph G=(V,E) ;G has cycle if and only if

Select correct option:

The DFS forest has forward edge.

The DFS forest has back edge (Right Answer)

The DFS forest has both back and forward edge

BFS forest has forward edge

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

Select correct option:

There is Null pointer at the end of list.

The Isolated vertex is not handled in list. (not Sure)

Only one value is entered in the list.

There is at least one null list.

If you find yourself in maze the better traversel approach will be :

BFS

BFS and DFS both are valid (Right Answer)

Level order

DFS

Cross edge is :

(u, v) where u and v are not ancestor of one another

(u, v) where u is ancesstor of v and v is not descendent of u.

(u, v) where u and v are not ancestor or descendent of one another (Right Answer)

(u, v) where u and v are either ancestor or descendent of one another.

What algorithm technique is used in the implementation of Kruskal solution for the MST?

Greedy Technique (Right Answer)

Divide-and-Conquer Technique

Dynamic Programming Technique

The algorithm combines more than one of the above techniques

Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best tree edge) when the graph has relatively few

True (Right Answer)

False

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

?(V + E) Right Answer)

? (V E)

? (V)

? (V^2)

A digraph is strongly connected under what condition?

A digraph is strongly connected if for every pair of vertices u, v e V, u can reach v .

A digraph is strongly connected if for every pair of vertices u, v e V, u can reach v and vice versa. (Right Answer)

A digraph is strongly connected if for at least one pair of vertex u, v e V, u can reach v and vice versa.

A digraph is strongly connected if at least one third pair of vertices u, v e V, u can reach v and vice versa.

The relationship between number of back edges and number of cycles in DFS is,

Both are equal

Back edges are half of cycles

Back edges are one quarter of cycles

There is no relationship between no. of edges and cycles (Right Answer)

What algorithm technique is used in the implementation of Kruskal solution for the MST?

Greedy Technique (Right Answer)

Divide-and-Conquer Technique

Dynamic Programming Technique

The algorithm combines more than one of the above techniques

Which may be stable sort:
Select correct option:
Bubble sort
Insertion sort
Both of above
Selection sort

In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent _______________ series in the analysis,
Select correct option:
linear
arithmetic
geometric
exponent

In Quick sort algorithm, constants hidden in T(n lg n) are
Select correct option:

Large
Medium
Not known
small

How much time merge sort takes for an array of numbers?
Select correct option:

T(n^2)
T(n)
T( log n)
T(n log n)

Counting sort has time complexity:
Select correct option:

O(n)
O(n+k)
O(k)
O(nlogn)

In which order we can sort?
Select correct option:

increasing order only
decreasing order only
increasing order or decreasing order
both at the same time

A (an) _________ is a left-complete binary tree that conforms to the heap order
Select correct option:

heap
binary tree
binary search tree
array

The analysis of Selection algorithm shows the total running time is indeed ________in n,
Select correct option:

arithmetic
geometric
linear
orthogonal

Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:
Select correct option:

There is explicit combine process as well to conquer the solution.
No work is needed to combine the sub-arrays, the array is already sorted
Merging the sub arrays
None of above.

Sorting is one of the few problems where provable ________ bonds exits on how fast we can sort,
Select correct option:

upper
lower
average
log n

In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as,

T(n)

T(n / 2)

log n

n / 2 + n / 4

Quick sort is based on divide and conquer paradigm; we divide the problem on base of

pivot element and:

There is explicit combine process as w ell to conquer

No w ork is needed to combine the sub-arrays, the a

Merging the subarrays

None of above

The number of nodes in a complete binary tree of height h is

2^(h+1) – 1

2 * (h+1) – 1

2 * (h+1)

((h+1) ^ 2) – 1

How many elements do we eliminate in each time for the Analysis of Selection

algorithm?

n / 2 elements

(n / 2) + n elements

n / 4 elements

2 n elements

Which sorting algorithn is faster :

O(n^2)

O(nlogn)

O(n+k)

O(n^3)

We do sorting to,

keep elements in random positions

keep the algorithm run in linear order

keep the algorithm run in (log n) order

keep elements in increasing or decreasing order

Slow sorting algorithms run in,

T(n^2)

T(n)

T( log n)

T(n log n)

One of the clever aspects of heaps is that they can be stored in arrays without using any

_______________.

Pointers

Constants

Variables

Functions

Counting sort is suitable to sort the elements in range 1 to k:

K is large

K is small

K may be large or small

None

We do sorting to,
Select correct option:

keep elements in random positions
keep the algorithm run in linear order
keep the algorithm run in (log n) order
keep elements in increasing or decreasing order

Question # 2 of 10 ( Start time: 06:19:38 PM ) Total Marks: 1
Heaps can be stored in arrays without using any pointers; this is due to the ____________ nature of the binary tree,
Select correct option:

left-complete
right-complete
tree nodes
tree leaves

Question # 3 of 10 ( Start time: 06:20:18 PM ) Total Marks: 1
Sieve Technique can be applied to selection problem?
Select correct option:

True
False

Question # 4 of 10 ( Start time: 06:21:10 PM ) Total Marks: 1
A heap is a left-complete binary tree that conforms to the ___________
Select correct option:

increasing order only
decreasing order only
heap order
(log n) order

Question # 5 of 10 ( Start time: 06:21:39 PM ) Total Marks: 1
A (an) _________ is a left-complete binary tree that conforms to the heap order
Select correct option:

heap
binary tree
binary search tree
array

Question # 6 of 10 ( Start time: 06:22:04 PM ) Total Marks: 1
Divide-and-conquer as breaking the problem into a small number of
Select correct option:

pivot
Sieve
smaller sub problems
Selection

Question # 7 of 10 ( Start time: 06:22:40 PM ) Total Marks: 1
In Sieve Technique we do not know which item is of interest
Select correct option:

True
False

Question # 8 of 10 ( Start time: 06:23:26 PM ) Total Marks: 1
The recurrence relation of Tower of Hanoi is given below T(n)={1 if n=1 and 2T(n-1) if n >1 In order to move a tower of 5 rings from one peg to another, how many ring moves are required?
Select correct option:

16
10
32
31

Question # 9 of 10 ( Start time: 06:24:44 PM ) Total Marks: 1
In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent _______________ series in the analysis,
Select correct option:

linear
arithmetic
geometric
exponent

Question # 10 of 10 ( Start time: 06:25:43 PM ) Total Marks: 1
For the heap sort, access to nodes involves simple _______________ operations.
Select correct option:
arithmetic
binary
algebraic
logarithmic

For the sieve technique we solve the problem,
Select correct option:
recursively
mathematically
precisely
accurately
The sieve technique works in ___________ as follows
Select correct option:
phases
numbers
integers
routines
Slow sorting algorithms run in,
Select correct option:
T(n^2)
T(n)
T( log n)
A (an) _________ is a left-complete binary tree that conforms to the heap order
Select correct option:
heap
binary tree
binary search tree
array

In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent _______________ series in the analysis,
Select correct option:
linear
arithmetic
geometric
exponent

In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as,
Select correct option:
T(n)
T(n / 2)
log n
n / 2 + n / 4

The sieve technique is a special case, where the number of sub problems is just
Select correct option:
5
many
1
few

In which order we can sort?
Select correct option:
increasing order only
decreasing order only
increasing order or decreasing order
both at the same time

The recurrence relation of Tower of Hanoi is given below T(n)={1 if n=1 and 2T(n-1) if n >1 In order to move a tower of 5 rings from one peg to another, how many ring moves are required?
Select correct option:
16
10
32
31

Analysis of Selection algorithm ends up with,
Select correct option:
T(n)
T(1 / 1 + n)
T(n / 2)
T((n / 2) + n)

We do sorting to,
Select correct option:

keep elements in random positions
keep the algorithm run in linear order
keep the algorithm run in (log n) order
keep elements in increasing or decreasing order

Divide-and-conquer as breaking the problem into a small number of
Select correct option:

pivot
Sieve
smaller sub problems
Selection

The analysis of Selection algorithm shows the total running time is indeed ________in n,
Select correct option:

arithmetic
geometric
linear
orthogonal

How many elements do we eliminate in each time for the Analysis of Selection algorithm?
Select correct option:

n / 2 elements
(n / 2) + n elements
n / 4 elements
2 n elements

Sieve Technique can be applied to selection problem?
Select correct option:

True
false

For the heap sort we store the tree nodes in
Select correct option:

level-order traversal
in-order traversal
pre-order traversal
post-order traversal

One of the clever aspects of heaps is that they can be stored in arrays without using any _______________.
Select correct option:
pointers
constants
variables
functions

A (an) _________ is a left-complete binary tree that conforms to the heap order
Select correct option:
heap
binary tree
binary search tree
array

Divide-and-conquer as breaking the problem into a small number of
Select correct option:
pivot
Sieve
smaller sub problems
Selection

Heaps can be stored in arrays without using any pointers; this is due to the ____________ nature of the binary tree,
Select correct option:
left-complete
right-complete
tree nodes
tree leaves

For the sieve technique we solve the problem,
Select correct option:
recursively
mathematically
precisely
accurately

A heap is a left-complete binary tree that conforms to the ___________
Select correct option:
increasing order only
decreasing order only
heap order
(log n) order

We do sorting to,
Select correct option:
keep elements in random positions
keep the algorithm run in linear order
keep the algorithm run in (log n) order
keep elements in increasing or decreasing order

How many elements do we eliminate in each time for the Analysis of Selection algorithm?
Select correct option:
n / 2 elements
(n / 2) + n elements
n / 4 elements
2 n elements

How much time merge sort takes for an array of numbers?
Select correct option:
T(n^2)
T(n)
T( log n)
T(n log n)

The reason for introducing Sieve Technique algorithm is that it illustrates a very important special case of,
Select correct option:
divide-and-conquer
decrease and conquer
greedy nature
2-dimension Maxima

Question # 1 of 10 ( Start time: 08:17:23 AM ) Total M a r k s: 1
The number of nodes in a complete binary tree of height h is
Select correct option:
2^(h+1) – 1
2 * (h+1) – 1
2 * (h+1)
((h+1) ^ 2) – 1

Question # 2 of 10 ( Start time: 08:18:46 AM ) Total M a r k s: 1
A (an) _________ is a left-complete binary tree that conforms to the heap order
Select correct option:
heap
binary tree
binary search tree
array

Question # 3 of 10 ( Start time: 08:19:38 AM ) Total M a r k s: 1
In Sieve Technique we do not know which item is of interest
Select correct option:
True
False

Question # 4 of 10 ( Start time: 08:20:33 AM ) Total M a r k s: 1
Heaps can be stored in arrays without using any pointers; this is due to the
____________ nature of the binary tree,
Select correct option:
left-complete
right-complete
tree nodes
tree leaves

Question # 5 of 10 ( Start time: 08:21:59 AM ) Total M a r k s: 1
In the analysis of Selection algorithm, we make a number of passes, in fact it could be as
many as,
Select correct option:
T(n)
T(n / 2)
log n
n / 2 + n / 4

Question # 6 of 10 ( Start time: 08:23:01 AM ) Total M a r k s: 1
For the sieve technique we solve the problem,
Select correct option:
recursively
mathematically
precisely
accurately
Theta asymptotic notation for T (n) :
Select correct option:
Set of functions described by: c1g(n)Set of functions described by c1g(n)>=f(n) for c1 s
Theta for T(n)is actually upper and worst case comp
Set of functions described by:
c1g(n)

Question # 8 of 10 ( Start time: 08:24:39 AM ) Total M a r k s: 1
The sieve technique is a special case, where the number of sub problems is just
Select correct option:
5
many
1
few

Question # 9 of 10 ( Start time: 08:25:54 AM ) Total M a r k s: 1
Sieve Technique applies to problems where we are interested in finding a single item from a larger set of _____________
Select correct option:
n items
phases
pointers
constant

Question # 10 of 10 ( Start time: 08:26:44 AM ) Total M a r k s: 1
The sieve technique works in ___________ as follows
Select correct option:
phases
numbers
integers
routines

Memorization is?

To store previous results for future use

To avoid this unnecessary repetitions by writing down the results of recursive calls and looking them up again if we need them later

To make the process accurate

None of the above

Question # 2 of 10 Total M a r k s: 1

Which sorting algorithm is faster

O (n log n)

O n^2

O (n+k)

O n^3

Quick sort is

Stable & in place

Not stable but in place

Stable but not in place

Some time stable & some times in place

One example of in place but not stable algorithm is

Merger Sort

Quick Sort

Continuation Sort

Bubble Sort

In Quick Sort Constants hidden in T(n log n) are

Large

Medium

Small

Not Known

Continuation sort is suitable to sort the elements in range 1 to k

K is Large

K is not known

K may be small or large

K is small

In stable sorting algorithm.

One array is used

More than one arrays are required

Duplicating elements not handled

duplicate elements remain in the same relative position after sorting

Which may be a stable sort?

Merger

Insertion

Both above

None of the above

An in place sorting algorithm is one that uses ___ arrays for storage

Two dimensional arrays

More than one array

No Additional Array

None of the above

Continuing sort has time complexity of ?

O(n)

O(n+k)

O(nlogn)

O(k)

We do sorting to,

keep elements in random positions

keep the algorithm run in linear order

keep the algorithm run in (log n) order

keep elements in increasing or decreasing order

In Sieve Technique we donot know which item is of interest

True

False

A (an) _________ is a left-complete binary tree that conforms to the

heap order

heap

binary tree

binary search tree

array

27. The sieve technique works in ___________ as follows

phases

numbers

integers

routines

For the sieve technique we solve the problem,

recursively

mathematically

precisely

accurately

29. For the heap sort, access to nodes involves simple _______________

operations.

arithmetic

binary

algebraic

logarithmic

The analysis of Selection algorithm shows the total running time is

indeed ________in n,\

arithmetic

geometric

linear

orthogonal

For the heap sort, access to nodes involves simple _______________

operations.

Select correct option:

arithmetic

binary

algebraic

logarithmic

Sieve Technique applies to problems where we are interested in finding a

single item from a larger set of _____________

Select correct option:

n items

phases

pointers

constant

Question # 9 of 10 ( Start time: 07:45:36 AM ) Total Marks: 1

In Sieve Technique we do not know which item is of interest

Select correct option:

True

False

How much time merge sort takes for an array of numbers?

Select correct option:

T(n^2)

T(n)

T( log n)

T(n log n)

For the heap sort we store the tree nodes in

Select correct option:

level-order traversal

in-order traversal

pre-order traversal

post-order traversal

Sorting is one of the few problems where provable ________ bonds exits on

how fast we can sort,

Select correct option:

upper

lower

average

log n

single item from a larger set of _____________

Select correct option:

n items

phases

pointers

constant

A heap is a left-complete binary tree that conforms to the ___________

Select correct option:

increasing order only

decreasing order only

heap order

(log n) order

In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as,

Select correct option:

T(n)

T(n / 2)

log n

n / 2 + n / 4

The reason for introducing Sieve Technique algorithm is that it illustrates a

very important special case of,

Select correct option:

divide-and-conquer

decrease and conquer

greedy nature

2-dimension Maxima

The sieve technique works in ___________ as follows

Select correct option:

phases

numbers

integers

routines

For the Sieve Technique we take time

Select correct option:

T(nk)

T(n / 3)

n^2

n/3

In the analysis of Selection algorithm, we eliminate a constant fraction of the

array with each phase; we get the convergent _______________ series in the

analysis,

linear

arithmetic

geometric

exponent

Analysis of Selection algorithm ends up with,

Select correct option:

T(n)

T(1 / 1 + n)

T(n / 2)

T((n / 2) + n)

Quiz Start Time: 07:23 PM
Time Left 90
sec(s)
Question # 1 of 10 ( Start time: 07:24:03 PM ) Total M a r k s: 1
In in-place sorting algorithm is one that uses arrays for storage :
Select correct option:
An additional array
No additional array
Both of above may be true according to algorithm
More than 3 arrays of one dimension.

Time Left 89
sec(s)
Question # 2 of 10 ( Start time: 07:25:20 PM ) Total M a r k s: 1
Which sorting algorithn is faster :
Select correct option:
O(n^2)
O(nlogn)
O(n+k)
O(n^3)

In stable sorting algorithm:
Select correct option:
One array is used
In which duplicating elements are not handled.
More then one arrays are required.
Duplicating elements remain in same relative posistion after sorting.

Counting sort has time complexity:
Select correct option:
O(n)
O(n+k)
O(k)
O(nlogn)

Counting sort is suitable to sort the elements in range 1 to k:
Select correct option:
K is large
K is small
K may be large or small
None

Memorization is :
Select correct option:
To store previous results for further use.
To avoid unnecessary repetitions by writing down the results of recursive calls and looking them again if needed later
To make the process accurate.
None of the above

The running time of quick sort depends heavily on the selection of
Select correct option:
No of inputs
Arrangement of elements in array
Size o elements
Pivot elements

Which may be stable sort:
Select correct option:
Bubble sort
Insertion sort
Both of above

In Quick sort algorithm, constants hidden in T(n lg n) are
Select correct option:
Large
Medium
Not known
small

Quick sort is
Select correct option:
Stable and In place
Not stable but in place
Stable and not in place
Some time in place and send some time stable

For the Sieve Technique we take time

T(nk)

T(n / 3)

n^2

n/3

The sieve technique is a special case, where the number of sub problems is just

Select correct option:

Many

Few

The reason for introducing Sieve Technique algorithm is that it illustrates a very important special case of,

Select correct option:

divide-and-conquer

decrease and conquer

greedy nature

2-dimension Maxima

Quick sort is

Select correct option:

Stable and In place

Not stable but in place

Stable and not in place

Some time in place and send some time stable

Memoization is :

Select correct option:

To store previous results for further use.

To avoid unnecessary repetitions by writing down the results of

recursive calls and looking them again if needed later

To make the process accurate.

None of the above

One Example of in place but not stable sort is

Quick

Heap

Merge

Bubble

The running time of quick sort depends heavily on the selection of

Select correct option:

No of inputs

Arrangement of elements in array

Size o elements

Pivot elements

Question # 9 of 10 ( Start time: 07:39:07 PM ) Total M a r k s: 1

In Quick sort algorithm,constants hidden in T(n lg n) are

Select correct option:

Large

Medium

Not known

Small

Theta asymptotic notation for T (n) :

Select correct option:

Set of functions described by: c1g(n)<=f(n) for c1 some constant and n=n0

Set of functions described by c1g(n)>=f(n) for c1 some constant and n=n0

Theta for T(n)is actually upper and worst case complexity of the code

Set of functions described by: c1g(n)<=f(n)<=c2g(n) for c1 and c2 some constants and n=n0

Zindagi mein 2 Logo ka buhat khayal rahkoooo
Ist woh jiss ney tumhari jeet ke Liye buhat kuch hara hoo

(Father)

2nd woh jiss ko tum ney har dukh me pukaara hoo (Mother)

Regards,

Umair Saulat Mc100403250

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