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Greedy - Title: No Slide Title Author: Giampiero Pecelli Last modified by: Giampiero Pecelli Created Date: 8/16/2010 4:03:15 PM Document presentation format

Title: No Slide Title Author: Giampiero Pecelli Last modified by: Giampiero Pecelli Created Date: 8/16/2010 4:03:15 PM Document presentation format

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Greedy Algorithms PowerPoint PPT Presentation

Greedy Algorithms - Title: No Slide Title Author: ananda guna Last modified by: Administrator Created Date: 8/26/2000 8:39:18 PM Document presentation format: On-screen Show

Title: No Slide Title Author: ananda guna Last modified by: Administrator Created Date: 8/26/2000 8:39:18 PM Document presentation format: On-screen Show

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Algoritma Greedy PowerPoint PPT Presentation

Algoritma Greedy - Algoritma Greedy A greedy Algorithm 1. Make a set with all types of coins 2. Choose the largest coin in set 3. If this coin will take the solution total over the ...

Algoritma Greedy A greedy Algorithm 1. Make a set with all types of coins 2. Choose the largest coin in set 3. If this coin will take the solution total over the ...

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Greedy 2 - Spanning tree T: A tree that includes all nodes from V. T = (V, E'), where E' E ... All spanning trees have same weight. Algorithmique Greedy 2. Jose Rolim. 6 ...

Spanning tree T: A tree that includes all nodes from V. T = (V, E'), where E' E ... All spanning trees have same weight. Algorithmique Greedy 2. Jose Rolim. 6 ...

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Greedy Algorithm PowerPoint PPT Presentation

Greedy Algorithm - Greedy Algorithm 5.1 Elements of Greedy Algorithms 5.2 An activity-selection problem 5.3 Huffman codes 5.4 Minimal ...

Greedy Algorithm 5.1 Elements of Greedy Algorithms 5.2 An activity-selection problem 5.3 Huffman codes 5.4 Minimal ...

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Greedy Algorithms and Matroids PowerPoint PPT Presentation

Greedy Algorithms and Matroids - Greedy Algorithms and Matroids Andreas Klappenecker * Giving Change Coin Changing Suppose we have n types of coins with values v[1] v[2] v[n] 0 Given an ...

Greedy Algorithms and Matroids Andreas Klappenecker * Giving Change Coin Changing Suppose we have n types of coins with values v[1] v[2] v[n] 0 Given an ...

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Greedy Algorithms - Title: PowerPoint Presentation Author: Dr. Lang Last modified by: Lee Created Date: 1/16/2001 6:12:54 AM Document presentation format: On-screen Show

Title: PowerPoint Presentation Author: Dr. Lang Last modified by: Lee Created Date: 1/16/2001 6:12:54 AM Document presentation format: On-screen Show

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Greedy - What is the substructure? Substructure: suppose a solution to Sij ... Optimal Substructure: assume Aij is an optimal solution to Sij, containing an activity ak. ...

What is the substructure? Substructure: suppose a solution to Sij ... Optimal Substructure: assume Aij is an optimal solution to Sij, containing an activity ak. ...

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Greedy Algorithms - Greedy Algorithms Dr. Yingwu Zhu

Greedy Algorithms Dr. Yingwu Zhu

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Greedy - contain only the first one. while (the instance is not solved) { // selelction procedure and feasibility check. select a vertex in V Y that is nearest to Y; ...

contain only the first one. while (the instance is not solved) { // selelction procedure and feasibility check. select a vertex in V Y that is nearest to Y; ...

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???? ??(Greedy Approach) PowerPoint PPT Presentation

???? ??(Greedy Approach) - (Greedy Approach) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Dijkstra Prim ...

(Greedy Approach) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Dijkstra Prim ...

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Algoritma Greedy - Algoritma Greedy Teknik Informatika Universitas Ahmad Dahlan 4. Fractional Knapsack Penyelesaian dengan exhaustive search Oleh karena 0 xi 1, maka ...

Algoritma Greedy Teknik Informatika Universitas Ahmad Dahlan 4. Fractional Knapsack Penyelesaian dengan exhaustive search Oleh karena 0 xi 1, maka ...

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Greedy Algorithms (Huffman Coding) PowerPoint PPT Presentation

Greedy Algorithms (Huffman Coding) - (Huffman Coding) Slide * * Huffman Coding A technique to compress data effectively Usually between 20%-90% compression Lossless compression No information is lost ...

(Huffman Coding) Slide * * Huffman Coding A technique to compress data effectively Usually between 20%-90% compression Lossless compression No information is lost ...

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Greedy Algorithms - CS 498 SS. Saurabh Sinha. A greedy approach to the motif finding problem ... Greedy Motif Search. Find two closest l-mers in sequences 1 and 2 and form ...

CS 498 SS. Saurabh Sinha. A greedy approach to the motif finding problem ... Greedy Motif Search. Find two closest l-mers in sequences 1 and 2 and form ...

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Greedy Algorithms: - A greedy algorithm always makes the choice that looks best at the moment. It makes a local optimal choice in the hope that this choice will lead to a globally optimal ...

A greedy algorithm always makes the choice that looks best at the moment. It makes a local optimal choice in the hope that this choice will lead to a globally optimal ...

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Greedy Algorithm - Key point: Greed makes a locally optimal choice in the hope that ... Example: (Brassard/Bratley) 4 matrices, d = (13, 5, 89, 3, 34) S = 1: a12 =5785. a23=1335 ...

Key point: Greed makes a locally optimal choice in the hope that ... Example: (Brassard/Bratley) 4 matrices, d = (13, 5, 89, 3, 34) S = 1: a12 =5785. a23=1335 ...

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Greedy Algorithms - Correctness of Dijkstra's Algorithm ... As with Dijkstra's algorithm, the key issue is determining which vertex is next closest. ...

Correctness of Dijkstra's Algorithm ... As with Dijkstra's algorithm, the key issue is determining which vertex is next closest. ...

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Greedy%20Algorithms PowerPoint PPT Presentation

Greedy%20Algorithms - Initial Conditions. Make Progress. Maintain Loop Inv. Define Exit Condition. Define Step ... As Time Goes On. 25. 25. 25. 25. 25. 25. 25. 25. 25. 25 ...

Initial Conditions. Make Progress. Maintain Loop Inv. Define Exit Condition. Define Step ... As Time Goes On. 25. 25. 25. 25. 25. 25. 25. 25. 25. 25 ...

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Greedy Algorithms - Problems also exhibit the greedy-choice property. ... w(T') = w(T) - w(x, y) w(u, v) w(T). Hence, T' is also a MST. So, (u, v) is safe for A. ...

Problems also exhibit the greedy-choice property. ... w(T') = w(T) - w(x, y) w(u, v) w(T). Hence, T' is also a MST. So, (u, v) is safe for A. ...

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Greedy Algorithms - Title: Greedy Algorithms Author: UmaMaheswari Last modified by: David Alan Plaisted Created Date: 11/17/2003 10:10:23 AM Document presentation format

Title: Greedy Algorithms Author: UmaMaheswari Last modified by: David Alan Plaisted Created Date: 11/17/2003 10:10:23 AM Document presentation format

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Greedy technique PowerPoint PPT Presentation

Greedy technique - S has m =card A elements. The sum of elements in S is maximal. Example: Let A ... vi=di vi 1. The greedy solution, (g1,...,gm), is characterized by g1 =C DIV v1 ...

S has m =card A elements. The sum of elements in S is maximal. Example: Let A ... vi=di vi 1. The greedy solution, (g1,...,gm), is characterized by g1 =C DIV v1 ...

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CHAPTER 16 Greedy Algorithms PowerPoint PPT Presentation

CHAPTER 16 Greedy Algorithms - CHAPTER 16 Greedy Algorithms In dynamic programming, the optimal solution is described in a recursive manner, and then is computed ``bottom up''.

CHAPTER 16 Greedy Algorithms In dynamic programming, the optimal solution is described in a recursive manner, and then is computed ``bottom up''.

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Greedy technique - 86 ...

86 ...

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Greedy Algorithms - A selection procedure, chooses the next item. A feasibility check, determines whether the decision creates a locally optimal solution ...

A selection procedure, chooses the next item. A feasibility check, determines whether the decision creates a locally optimal solution ...

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Greedy Algorithms - Both problems exhibit the optimal-substructure property: ... Substructure: Activity-Selection Problem. Dynamic Programming Solution (Step 1) ...

Both problems exhibit the optimal-substructure property: ... Substructure: Activity-Selection Problem. Dynamic Programming Solution (Step 1) ...

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16. Greedy Algorithms PowerPoint PPT Presentation

16. Greedy Algorithms - 16. Greedy Algorithms Heejin Park College of Information and Communications Hanyang University Contents Introduction An activity selection problem Elements of the ...

16. Greedy Algorithms Heejin Park College of Information and Communications Hanyang University Contents Introduction An activity selection problem Elements of the ...

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Greedy Algorithms - For US money, the greedy algorithm always gives the optimum solution. 4 ... An optimum solution. This solution is clearly optimal (why? ...

For US money, the greedy algorithm always gives the optimum solution. 4 ... An optimum solution. This solution is clearly optimal (why? ...

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Greedy Algorithms - Greedy Algorithms A short list of categories Algorithm types we will consider include: Simple recursive algorithms Backtracking algorithms Divide and conquer ...

Greedy Algorithms A short list of categories Algorithm types we will consider include: Simple recursive algorithms Backtracking algorithms Divide and conquer ...

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chap 3 Greedy methods PowerPoint PPT Presentation

chap 3 Greedy methods - Title: chap 3 Greedy methods Author: cby Last modified by: cbyang Created Date: 1/1/1601 12:00:00 AM Document presentation format: (4:3)

Title: chap 3 Greedy methods Author: cby Last modified by: cbyang Created Date: 1/1/1601 12:00:00 AM Document presentation format: (4:3)

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Greedy Algorithms - A greedy algorithm makes the choice looks best at that ... Spilt the cases into: 3 or less people. 4 people. More than 4 people. Example 8: Egyptian fraction ...

A greedy algorithm makes the choice looks best at that ... Spilt the cases into: 3 or less people. 4 people. More than 4 people. Example 8: Egyptian fraction ...

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Greedy Algorithms - The simplest data structure for representing graphs and digraphs is using 2-dimensional arrays. ... edges of a graph or digraph are given a positive weight or ...

The simplest data structure for representing graphs and digraphs is using 2-dimensional arrays. ... edges of a graph or digraph are given a positive weight or ...

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Greedy Algorithm - A greedy algorithm always makes the choice that looks best at the moment ... Dynamic programming can be overkill. Greedy algorithms tend to be easier to code. 3 ...

A greedy algorithm always makes the choice that looks best at the moment ... Dynamic programming can be overkill. Greedy algorithms tend to be easier to code. 3 ...

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Greedy Algorithms - Theorem 23.1: Let (S, V-S) be any cut that respects A, and let (u, v) ... At each step, adds a light edge crossing cut (VA, V - VA) to A. ...

Theorem 23.1: Let (S, V-S) be any cut that respects A, and let (u, v) ... At each step, adds a light edge crossing cut (VA, V - VA) to A. ...

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Greedy Algorithms - Title: Slide 1 Author: Ralph Tindell Last modified by: Tindell, Ralph Created Date: 4/13/2003 2:26:35 PM Document presentation format: On-screen Show (4:3)

Title: Slide 1 Author: Ralph Tindell Last modified by: Tindell, Ralph Created Date: 4/13/2003 2:26:35 PM Document presentation format: On-screen Show (4:3)

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Greedy Algorithms - ... an optimal solution is the one generated by the greedy algorithm ... Do any of these strategies work? Earliest end time Algorithm. Sort intervals by end time ...

... an optimal solution is the one generated by the greedy algorithm ... Do any of these strategies work? Earliest end time Algorithm. Sort intervals by end time ...

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Greedy Algorithms - Construct subset A'ij = Aij {ak} {am} ... I.e., there is some activity ak such that fi sk fk sm fm. ... k sk fk. 5 3 8. 6 5 9. 7 6 10. 8 11. time. 0 1 2 3 ...

Construct subset A'ij = Aij {ak} {am} ... I.e., there is some activity ak such that fi sk fk sm fm. ... k sk fk. 5 3 8. 6 5 9. 7 6 10. 8 11. time. 0 1 2 3 ...

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Greedy bestfirst search PowerPoint PPT Presentation

Greedy bestfirst search - Greedy best-first search. Use the heuristic function to rank the nodes. Search strategy ... Greedily trying to find the least-cost solution. Greedy Best-First Search ...

Greedy best-first search. Use the heuristic function to rank the nodes. Search strategy ... Greedily trying to find the least-cost solution. Greedy Best-First Search ...

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Greedy Algorithms - Greedy Algorithms. Greedy Algorithms. For some problems, dynamic programming is overkill. Greedy algorithms make the choice that's best at that moment ...

Greedy Algorithms. Greedy Algorithms. For some problems, dynamic programming is overkill. Greedy algorithms make the choice that's best at that moment ...

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Greedy best-first search - Greedy best-first search Use the heuristic function to rank the nodes Search strategy Expand node with lowest h-value Greedily trying to find the least-cost solution

Greedy best-first search Use the heuristic function to rank the nodes Search strategy Expand node with lowest h-value Greedily trying to find the least-cost solution

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Chapter 2' Greedy Strategy - Chapter 2' Greedy Strategy

Chapter 2' Greedy Strategy

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Greedy algorithms - ... problems solved through a sequence of choices that are: feasible. locally optimal. irrevocable. Not all optimization problems can be approached in this manner! ...

... problems solved through a sequence of choices that are: feasible. locally optimal. irrevocable. Not all optimization problems can be approached in this manner! ...

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Lecture 6: Greedy Algorithms I PowerPoint PPT Presentation

Lecture 6: Greedy Algorithms I - Lecture 6: Greedy Algorithms I Shang-Hua Teng Optimization Problems A problem that may have many feasible solutions. Each solution has a value In maximization problem ...

Lecture 6: Greedy Algorithms I Shang-Hua Teng Optimization Problems A problem that may have many feasible solutions. Each solution has a value In maximization problem ...

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Greedy Algorithms - Let kdiff be the largest value of k s.t. Gk != Sk. Claim 1: Gkdiff = Skdiff. Why? ... These three claims imply kdiff does not exist and Gk is optimal. ...

Let kdiff be the largest value of k s.t. Gk != Sk. Claim 1: Gkdiff = Skdiff. Why? ... These three claims imply kdiff does not exist and Gk is optimal. ...

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Lecture 7: Greedy Algorithms II PowerPoint PPT Presentation

Lecture 7: Greedy Algorithms II - ... of Greedy Strategy Greedy-Choice Property Optimal Substructures Knapsack Problem Greedy Algorithm for Fractional Knapsack problem O-1 knapsack is harder!

... of Greedy Strategy Greedy-Choice Property Optimal Substructures Knapsack Problem Greedy Algorithm for Fractional Knapsack problem O-1 knapsack is harder!

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Dynamic Programming Algorithms Greedy Algorithms PowerPoint PPT Presentation

Dynamic Programming Algorithms Greedy Algorithms - Dynamic Programming Algorithms Greedy Algorithms Lecture 27

Dynamic Programming Algorithms Greedy Algorithms Lecture 27

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16.Greedy algorithms - Sij={ak S : fi sk fk sj} ... fm = min { fk : ak Sij}. then ... Constructing a Huffman code. HUFFMAN( C ) 1 n |C| 2 Q C. 3 for i 1 to n 1 ...

Sij={ak S : fi sk fk sj} ... fm = min { fk : ak Sij}. then ... Constructing a Huffman code. HUFFMAN( C ) 1 n |C| 2 Q C. 3 for i 1 to n 1 ...

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Chapter 2 Greedy Strategy - Chapter 2 Greedy Strategy I. Independent System Ding-Zhu Du Proof Theorem Every independent system is an intersection of several matroids. circuit A minimal dependent ...

Chapter 2 Greedy Strategy I. Independent System Ding-Zhu Du Proof Theorem Every independent system is an intersection of several matroids. circuit A minimal dependent ...

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GREEDY MONSTER PowerPoint PPT Presentation

GREEDY MONSTER - On Tuesday the monster ate two smelly socks, which hadn't been washed for a week. ... In the night the monster had a stomach ache and didn't feel well. ...

On Tuesday the monster ate two smelly socks, which hadn't been washed for a week. ... In the night the monster had a stomach ache and didn't feel well. ...

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chap 3 Greedy methods - Chapter 3 The Greedy Method The greedy method Suppose that a problem can be solved by a sequence of decisions. The greedy method has that each decision is locally ...

Chapter 3 The Greedy Method The greedy method Suppose that a problem can be solved by a sequence of decisions. The greedy method has that each decision is locally ...

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Greedy Algorithms - Greedy Algorithms. Kruskal's Algorithm ... MC is value of minimum cost edge. ... h.update(w, MC ref.weight); ref = ref.next; Input Parameters: adj,start ...

Greedy Algorithms. Kruskal's Algorithm ... MC is value of minimum cost edge. ... h.update(w, MC ref.weight); ref = ref.next; Input Parameters: adj,start ...

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chap 3 Greedy methods - Suppose that a problem can be solved by a sequence of decisions. The ... These locally optimal solutions will finally add up to a globally optimal solution. ...

Suppose that a problem can be solved by a sequence of decisions. The ... These locally optimal solutions will finally add up to a globally optimal solution. ...

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Ch18' The Greedy Methods PowerPoint PPT Presentation

Ch18' The Greedy Methods - Divide and conquer. Dynamic Programming. Backtracking. Branch and bound ... Divide and Conquer. Dynamic Programming. Backtracking. Branch and Bound. 7. Table of ...

Divide and conquer. Dynamic Programming. Backtracking. Branch and bound ... Divide and Conquer. Dynamic Programming. Backtracking. Branch and Bound. 7. Table of ...

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WALL STREET AT ITS MOST CORRUPT? The GREEDY 80 PowerPoint PPT Presentation

WALL STREET AT ITS MOST CORRUPT? The GREEDY 80 - wall street at its most corrupt? the greedy 80 s!

wall street at its most corrupt? the greedy 80 s!

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Chapter 16 Greedy Algorithms - Optimal Substructure. A problem exhibits optimal substructure if an ... Both exhibit the optimal-substructure property. 0-1: consider a optimal solution. ...

Optimal Substructure. A problem exhibits optimal substructure if an ... Both exhibit the optimal-substructure property. 0-1: consider a optimal solution. ...

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Greedy Algorithms - Construct a series of expanding subtrees T1, T2, ... du du w(u*, u); pu u* Decrease(Q, u, du) 17. Notes on Dijkstra's Algorithm ...

Construct a series of expanding subtrees T1, T2, ... du du w(u*, u); pu u* Decrease(Q, u, du) 17. Notes on Dijkstra's Algorithm ...

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Greedy Algae Reduce Arsenate PowerPoint PPT Presentation

Greedy Algae Reduce Arsenate - DMA. As. O. CH3. CH3. O- Speciation affects transport and toxicity! Thermodynamics ... As(V) As(III) MMA DMA. As. O. O- HO. O- Yummy! P. Step 1: As(V) uptake by ...

DMA. As. O. CH3. CH3. O- Speciation affects transport and toxicity! Thermodynamics ... As(V) As(III) MMA DMA. As. O. O- HO. O- Yummy! P. Step 1: As(V) uptake by ...

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Greedy PowerPoint PPT Presentations