Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course...
Transcript of Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course...
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Design and Analysis of Algorithms
Dr. M. G. Abbas [email protected]
[email protected] Assistant ProfessorAssistant Professor
COMSATS Institute of Information Technology, Lahore
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CoursePurpose: a thorough introduction to the design andPurpose: a thorough introduction to the design and analysis of algorithms
Interesting and important, but theoretical courseg p ,Equations and Formula, but not a Math cou
Text Book:Introduction to Algorithms; Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest & Clifford Stein
Additional Reference Books:Introduction to the design and analysis of algorithms; R C T Lee S S Tseng R C Chang & Y T TsaiR.C. T. Lee, S. S. Tseng, R. C. Chang & Y. T. TsaiThe design and analysis of computer algorithms; Aho, Hopcroft & Ullmanp
2 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Course1st Mid term Exam 10%1st Mid-term Exam 10%2nd Mid-term Exam 15%Final Exam 50%Assignments and Quizzes 25%gPlus Class participation
80% attendance is compulsory to sit in the final80% attendance is compulsory to sit in the final exam.
3 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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AlgorithmThe word “algorithm” derived fromThe word algorithm derived from Mohammed Al-Khowarizmi, 9th century Persian mathematicianPersian mathematician.A procedure to solve a problemWhat is the best algorithm for a given problem?Three things we will learn:
Design a good algorithmg g gAnalyze itKnow when to stopKnow when to stop
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Algorithm - DefinitionAn algorithm is any well definedAn algorithm is any well defined computational procedure that takes
fsome value or set of values as input and produces some value or set of values as poutput.A correct algorithm halts with the correctA correct algorithm halts with the correct output for every instance. We can then
th t l ith l th blsay that algorithm solves the problem.
5 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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AlgorithmProblem: Add numbersProblem: Add numbersDesign:
an Divide and Conquer: make an algorithm for the addition of two numbers (base case)Generalize this base case to solve the bigger problemgg
Analysis:Is this is a good algorithm?Is this is a good algorithm?What is its complexity?
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Algorithm – Addition of NumbersAlgorithm for Base case:Algorithm for Base case:
Add ( X , Y ){
Z ← X + YReturn Z
}}Generalize Algorithm:
Add ( X1 X2 X )Add ( X1 , X2 , … , Xn ){
Z ← X1 + X2 + … + Xn1 2 nReturn Z
}
7 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Famous AlgorithmsC t ti f E lidConstruction of EuclidNewton’s root findingFast Fourier TransformCompression (Huffman, Lempel-Ziv, GIF, MPEG)p ( , p , , )DES, RSA encryptionSimplex algorithm for linear programmingSimplex algorithm for linear programmingShortest Path Algorithm (Dijkstra, Bellman Ford)Dynamic ProgrammingError correcting codes (CDs, DVDs)g ( )
8 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Famous AlgorithmsTCP congestion control IP routingTCP congestion control, IP routingPattern matching (Genomics)Delaunay Triangulation (FEM. Simulation)
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Review: InductionSupposeSuppose
S(k) is true for fixed constant k Often k = 0 or 1
S(n) S(n+1) for all n >= kS(n) S(n+1) for all n > kThen S(n) is true for all n >= k
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Proof By InductionClaim: S(n) is true for all n >= kClaim: S(n) is true for all n >= kBase case:
Sh f l i t h kShow formula is true when n = kInductive hypothesis:
Assume formula is true for an arbitrary nStep:Step:
Show that formula is then true for n+1
11 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Induction Example: Gaussian Closed Form
Prove 1 + 2 + 3 + + n = n(n+1) / 2Prove 1 + 2 + 3 + … + n = n(n+1) / 2Base case:
If n = 0 then 0 = 0(0+1) / 2If n 0, then 0 0(0+1) / 2If n = 1, then 1 = 1(1+1) / 2
Inductive hypothesis:Inductive hypothesis:Assume 1 + 2 + 3 + … + n = n(n+1) / 2
Step (show true for n+1):Step (show true for n 1):1 + 2 + … + n + n+1 = (1 + 2 + …+ n) + (n+1)= n(n+1)/2 + n+1 = [n(n+1) + 2(n+1)]/2 ( ) [ ( ) ( )]= (n+1)(n+2)/2 = (n+1)(n+1 + 1) / 2
12 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Induction Example:Geometric Closed Form
Prove a0 + a1 + + an = (an+1 - 1)/(a - 1) forProve a + a + … + a = (a - 1)/(a - 1) for all a ≠ 1
Base case: show that a0 = (a0+1 - 1)/(a - 1)Base case: show that a (a 1)/(a 1) a0 = 1 = (a1 - 1)/(a - 1)Inductive hypothesis:Inductive hypothesis:
Assume a0 + a1 + … + an = (an+1 - 1)/(a - 1) Step (show true for n+1):Step (show true for n+1):a0 + a1 + … + an+1 = (a0 + a1 + … + an) +
an+1a= (an+1 - 1)/(a - 1) + an+1 = (an+1+1 - 1)/(a - 1)
13 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Analyzing AlgorithmHow does the algorithm behave as theHow does the algorithm behave as the problem size gets very large?
Running timeMemory/storage requirementsMemory/storage requirementsBandwidth/power requirements/logic gates/etcgates/etc.
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Input SizeTime and space complexityTime and space complexity
This is generally a function of the input sizeti lti li tisorting, multiplication
How we characterize input size depends:Sorting: number of input itemsMultiplication: total number of bitspGraph algorithms: number of nodes & edgesg
15 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Running TimeNumber of primitive steps that are executedNumber of primitive steps that are executed
Except for time of executing a function call most statements roughly require the samemost statements roughly require the same amount of time
* by = m * x + bc = 5 / 9 * (t - 32 )z = f(x) + g(y)
16 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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AnalysisWorst caseWorst case
Provides an upper bound on running timeA b l t tAn absolute guarantee
Average caseProvides the expected running timeVery useful, but treat with care: what is y ,“average”?
Random (equally likely) inputsRandom (equally likely) inputsReal-life inputs
17 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion SortInsertionSort(A n) {InsertionSort(A, n) {for i = 2 to n {
key = A[i]j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] A[j]A[j+1] = A[j]j = j - 1
}}A[j+1] = key
}}
18 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort30 10 40 20 i = ∅ j = ∅ key = ∅
1 2 3 4
j yA[j] = ∅ A[j+1] = ∅
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
19 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort30 10 40 20 i = 2 j = 1 key = 10
1 2 3 4
j yA[j] = 30 A[j+1] = 10
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
20 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort30 30 40 20 i = 2 j = 1 key = 10
1 2 3 4
j yA[j] = 30 A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
21 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort30 30 40 20 i = 2 j = 1 key = 10
1 2 3 4
j yA[j] = 30 A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
22 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort30 30 40 20 i = 2 j = 0 key = 10
1 2 3 4
j yA[j] = ∅ A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
23 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort30 30 40 20 i = 2 j = 0 key = 10
1 2 3 4
j yA[j] = ∅ A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
24 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 2 j = 0 key = 10
1 2 3 4
j yA[j] = ∅ A[j+1] = 10
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
25 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 3 j = 0 key = 10
1 2 3 4
j yA[j] = ∅ A[j+1] = 10
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
26 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 3 j = 0 key = 40
1 2 3 4
j yA[j] = ∅ A[j+1] = 10
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
27 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 3 j = 0 key = 40
1 2 3 4
j yA[j] = ∅ A[j+1] = 10
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
28 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 3 j = 2 key = 40
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
29 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 3 j = 2 key = 40
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
30 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 3 j = 2 key = 40
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
31 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 4 j = 2 key = 40
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
32 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 4 j = 2 key = 20
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
33 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 4 j = 2 key = 20
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
34 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 20 i = 4 j = 3 key = 20
1 2 3 4
j yA[j] = 40 A[j+1] = 20
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
35 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
![Page 36: Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course yPurpose: a thorough introduction to the design andPurpose: a thorough introduction](https://reader031.fdocuments.in/reader031/viewer/2022011801/5b08519c7f8b9a5f6d8c3d96/html5/thumbnails/36.jpg)
An Example: Insertion Sort10 30 40 20 i = 4 j = 3 key = 20
1 2 3 4
j yA[j] = 40 A[j+1] = 20
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
36 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
![Page 37: Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course yPurpose: a thorough introduction to the design andPurpose: a thorough introduction](https://reader031.fdocuments.in/reader031/viewer/2022011801/5b08519c7f8b9a5f6d8c3d96/html5/thumbnails/37.jpg)
An Example: Insertion Sort10 30 40 40 i = 4 j = 3 key = 20
1 2 3 4
j yA[j] = 40 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
37 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 40 i = 4 j = 3 key = 20
1 2 3 4
j yA[j] = 40 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
38 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 40 i = 4 j = 2 key = 20
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
39 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 40 40 i = 4 j = 2 key = 20
1 2 3 4
j yA[j] = 30 A[j+1] = 40
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
40 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
![Page 41: Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course yPurpose: a thorough introduction to the design andPurpose: a thorough introduction](https://reader031.fdocuments.in/reader031/viewer/2022011801/5b08519c7f8b9a5f6d8c3d96/html5/thumbnails/41.jpg)
An Example: Insertion Sort10 30 30 40 i = 4 j = 2 key = 20
1 2 3 4
j yA[j] = 30 A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
41 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 30 40 i = 4 j = 2 key = 20
1 2 3 4
j yA[j] = 30 A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
42 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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An Example: Insertion Sort10 30 30 40 i = 4 j = 1 key = 20
1 2 3 4
j yA[j] = 10 A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
43 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
![Page 44: Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course yPurpose: a thorough introduction to the design andPurpose: a thorough introduction](https://reader031.fdocuments.in/reader031/viewer/2022011801/5b08519c7f8b9a5f6d8c3d96/html5/thumbnails/44.jpg)
An Example: Insertion Sort10 30 30 40 i = 4 j = 1 key = 20
1 2 3 4
j yA[j] = 10 A[j+1] = 30
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
44 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
![Page 45: Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course yPurpose: a thorough introduction to the design andPurpose: a thorough introduction](https://reader031.fdocuments.in/reader031/viewer/2022011801/5b08519c7f8b9a5f6d8c3d96/html5/thumbnails/45.jpg)
An Example: Insertion Sort10 20 30 40 i = 4 j = 1 key = 20
1 2 3 4
j yA[j] = 10 A[j+1] = 20
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
45 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
![Page 46: Design and Analysis of Algorithms - 01 - sanlp.org and Analysis of Algorithms - 01.pdf · Course yPurpose: a thorough introduction to the design andPurpose: a thorough introduction](https://reader031.fdocuments.in/reader031/viewer/2022011801/5b08519c7f8b9a5f6d8c3d96/html5/thumbnails/46.jpg)
An Example: Insertion Sort10 20 30 40 i = 4 j = 1 key = 20
1 2 3 4
j yA[j] = 10 A[j+1] = 20
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j i 1j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] = A[j]j j 1j = j - 1
}A[j+1] = key
}}}
Done!
46 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Animating Insertion SortCheck out the Animator a java applet at:Check out the Animator, a java applet at:
http://www.cs.hope.edu/~alganim/animator/Animathttp://www.cs.hope.edu/ alganim/animator/Animator.html
Try it out with random, ascending, and descending inputsdesce d g pu s
47 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Insertion SortInsertionSort(A n) {
What is the preconditionfor this loop?
InsertionSort(A, n) {for i = 2 to n {
key = A[i]j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] A[j]A[j+1] = A[j]j = j - 1
}}A[j+1] = key
}}
48 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Insertion SortInsertionSort(A n) {InsertionSort(A, n) {for i = 2 to n {
key = A[i]j = i - 1;while (j > 0) and (A[j] > key) {
A[j+1] A[j]A[j+1] = A[j]j = j - 1
}}A[j+1] = key
} How many times will}
How many times will this loop execute?
49 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Insertion SortStatement EffortStatement Effort
InsertionSort(A, n) {for i = 2 to n { c1n
key = A[i] c2(n-1)j = i - 1; c3(n-1)
while (j > 0) and (A[j] > key) { c Σtwhile (j > 0) and (A[j] > key) { c4Σti
A[j+1] = A[j] c5 Σ(ti-1)j = j - 1 c6 Σ(ti-1)}
A[j+1] = key c7(n-1)
}}}
50 Dr. M. G. Abbas Malik; COMSATS IIT Lahore
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Analyzing Insertion SortT(n) = c1n + c2(n-1) + c3(n-1) + c4 Σ2≤ i ≤ nti + c5 Σ2≤ i ≤ n (ti-1) + c6 Σ2≤ i ≤ n (ti-1)+ c7(n-1)
What can T be?Best case -- inner loop body never executedy
ti = 1 T(n) is a linear functionWorst case -- inner loop body executed for all previous lelementsti = i T(n) is a quadratic function
51 Dr. M. G. Abbas Malik; COMSATS IIT Lahore