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Our presentation on algorithm design | PPTX
ALGORITHM-DESIGN
The topic we’ll present >>> 
What is Algorithm ? 
What is Algorithm Design ? 
How to Design an Algorithm ? 
Graph Algorithm 
Flow Chart 
Importance of Algorithm Design 
Conclusion
 What is algorithm ? 
 An Algorithm is a Step by Step solution of a specific 
mathematical or computer related problem.
What is Algorithm-Design ? 
 Algorithm design is a specific method to create a 
mathematical process in solving problems.
How to design algorithm ??
Greedy Algorithms 
 An algorithm which always takes the best immediate 
or local solution while finding an answer. 
 Greedy algorithms will always find the overall or 
globally optimal solution for some optimization 
problems, but may find less-than-optimal solutions for 
some instances of other problems. 
Greedy algorithm for the Knapsack problem 
Minimal spanning tree
Image of greedy algorithm
 Divide and Conquer 
 Break the problems into smaller sub-problems 
 Solve each of the sub-problems 
Combine the solutions to obtain the 
solution to the original problem 
Binary search in a sorted array (recursion) 
Quick sort algorithm (recursion)
 Image of Divide and Conquer
Dynamic Programming 
 Dynamic programming is typically used to solve an 
optimization problem . 
 Dynamic Programming is a Bottom-Up Technique in 
which the smallest sub-instances are explicitly solved 
first and the results of these are used to construct 
solutions to progressively larger sub-instances. 
Fibonacci numbers computed by iteration. 
Warshall ’s algorithm implemented by iterations.
Image of Dynamic Programming
 Back Tracking 
 Backtracking is a general algorithm for finding all 
solutions to some computational problem ,that 
incrementally builds candidates to the solutions, and 
abandons each partial candidate c ("backtracks") as 
soon as it determines that c cannot possibly be 
completed to a valid solution. 
Eight queens puzzle. 
Traveling salesman problem.
Image of back tracking
 Graph Algorithm 
 A graph algorithm is an algorithm that takes one or 
more graphs as inputs. Performance constraints on 
graph algorithms are generally expressed in terms of 
the number of vertices (|V|) and the number of edges 
(|E|) in the input graph.
Image of Graph Algorithm
Flow chart 
 A flowchart is a type of diagram that 
represents an algorithm, workflow or 
process, showing the steps as boxes 
of various kinds, and their order by 
connecting them with arrows. 
 Flowcharts are used in analyzing, 
designing, documenting or 
managing a process or program in 
various fields.
Symbols of Flow Chart
Importance of algorithm design 
 It is used to store and access large 
quantities of data efficiently. 
 It is used to solve complex 
computational problems and to 
design of good programs 
 It is important to justify an 
algorithm correctness 
mathematically 
 It provides clear , simple and 
unambiguous description
 Conclusion 
 At last it may said that , the so called program name 
Algorithm – design is one of the most enforceable solution 
program that can be used to solve any complicated , 
complex , and hard program. 
 Under considering the above case the concerned authority 
included the jubilant students should prefer this program 
with great care.
Our presentation on algorithm design
Our presentation on algorithm design

Our presentation on algorithm design

  • 3.
  • 4.
    The topic we’llpresent >>> What is Algorithm ? What is Algorithm Design ? How to Design an Algorithm ? Graph Algorithm Flow Chart Importance of Algorithm Design Conclusion
  • 5.
     What isalgorithm ?  An Algorithm is a Step by Step solution of a specific mathematical or computer related problem.
  • 6.
    What is Algorithm-Design?  Algorithm design is a specific method to create a mathematical process in solving problems.
  • 7.
    How to designalgorithm ??
  • 8.
    Greedy Algorithms An algorithm which always takes the best immediate or local solution while finding an answer.  Greedy algorithms will always find the overall or globally optimal solution for some optimization problems, but may find less-than-optimal solutions for some instances of other problems. Greedy algorithm for the Knapsack problem Minimal spanning tree
  • 9.
  • 10.
     Divide andConquer  Break the problems into smaller sub-problems  Solve each of the sub-problems Combine the solutions to obtain the solution to the original problem Binary search in a sorted array (recursion) Quick sort algorithm (recursion)
  • 11.
     Image ofDivide and Conquer
  • 12.
    Dynamic Programming Dynamic programming is typically used to solve an optimization problem .  Dynamic Programming is a Bottom-Up Technique in which the smallest sub-instances are explicitly solved first and the results of these are used to construct solutions to progressively larger sub-instances. Fibonacci numbers computed by iteration. Warshall ’s algorithm implemented by iterations.
  • 13.
  • 14.
     Back Tracking  Backtracking is a general algorithm for finding all solutions to some computational problem ,that incrementally builds candidates to the solutions, and abandons each partial candidate c ("backtracks") as soon as it determines that c cannot possibly be completed to a valid solution. Eight queens puzzle. Traveling salesman problem.
  • 15.
    Image of backtracking
  • 16.
     Graph Algorithm  A graph algorithm is an algorithm that takes one or more graphs as inputs. Performance constraints on graph algorithms are generally expressed in terms of the number of vertices (|V|) and the number of edges (|E|) in the input graph.
  • 17.
  • 18.
    Flow chart A flowchart is a type of diagram that represents an algorithm, workflow or process, showing the steps as boxes of various kinds, and their order by connecting them with arrows.  Flowcharts are used in analyzing, designing, documenting or managing a process or program in various fields.
  • 19.
  • 20.
    Importance of algorithmdesign  It is used to store and access large quantities of data efficiently.  It is used to solve complex computational problems and to design of good programs  It is important to justify an algorithm correctness mathematically  It provides clear , simple and unambiguous description
  • 21.
     Conclusion At last it may said that , the so called program name Algorithm – design is one of the most enforceable solution program that can be used to solve any complicated , complex , and hard program.  Under considering the above case the concerned authority included the jubilant students should prefer this program with great care.