The document discusses the knight's tour problem in chess, where the goal is to move a knight to every square of the chessboard only once. It describes the different types of knight's tours and algorithms that can solve them, including brute force search, divide and conquer, and Warnsdorff's rule. Warnsdorff's rule is an efficient algorithm that solves the problem in linear time by moving to the square with the fewest available moves at each step. The document also presents example C code to solve knight's tours and discusses applications in cryptography.
The Knight's Tour is a mathematical problem involving a knight on a chessboard. The knight is placed on the empty board and, moving according to the rules of chess, must visit each square exactly once. A tour is called closed, if ending square is same as the starting. Otherwise it is called an open tour. The exact number of open tours is still unknown. Variations of the knight's tour problem involve chessboards of different sizes than the usual 8 × 8, as well as irregular (non-rectangular) boards.
Knights tour on chessboard using backtrackingAbhishek Singh
The knight is placed o any block of an empty chess board and moving according to the rules of chess, it must visit each square exacty once. Here in the ppt the algorithm along with some visualisation and explanation is given and problem is solved using backtracking approach.
Reinforcement learning:policy gradient (part 1)Bean Yen
The policy gradient theorem is from "Reinforcement Learning : An Introduction". DPG and DDPG is from the original paper.
original link https://docs.google.com/presentation/d/1I3QqfY6h2Pb0a-KEIbKy6v5NuZtnTMLN16Fl-IuNtUo/edit?usp=sharing
The Knight's Tour is a mathematical problem involving a knight on a chessboard. The knight is placed on the empty board and, moving according to the rules of chess, must visit each square exactly once. A tour is called closed, if ending square is same as the starting. Otherwise it is called an open tour. The exact number of open tours is still unknown. Variations of the knight's tour problem involve chessboards of different sizes than the usual 8 × 8, as well as irregular (non-rectangular) boards.
Knights tour on chessboard using backtrackingAbhishek Singh
The knight is placed o any block of an empty chess board and moving according to the rules of chess, it must visit each square exacty once. Here in the ppt the algorithm along with some visualisation and explanation is given and problem is solved using backtracking approach.
Reinforcement learning:policy gradient (part 1)Bean Yen
The policy gradient theorem is from "Reinforcement Learning : An Introduction". DPG and DDPG is from the original paper.
original link https://docs.google.com/presentation/d/1I3QqfY6h2Pb0a-KEIbKy6v5NuZtnTMLN16Fl-IuNtUo/edit?usp=sharing
This presentation discusses the state space problem formulation and different search techniques to solve these. Techniques such as Breadth First, Depth First, Uniform Cost and A star algorithms are covered with examples. We also discuss where such techniques are useful and the limitations.
We will discuss the following: RSA Key generation , RSA Encryption , RSA Decryption , A Real World Example, RSA Security.
https://www.youtube.com/watch?v=x7QWJ13dgGs&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf&index=7
Hand-outs of a lecture on Aho-Corarick string matching algorithm on Biosequence Algorithms course at University of Eastern Finland, Kuopio, in Spring 2012
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
This presentation discusses the state space problem formulation and different search techniques to solve these. Techniques such as Breadth First, Depth First, Uniform Cost and A star algorithms are covered with examples. We also discuss where such techniques are useful and the limitations.
We will discuss the following: RSA Key generation , RSA Encryption , RSA Decryption , A Real World Example, RSA Security.
https://www.youtube.com/watch?v=x7QWJ13dgGs&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf&index=7
Hand-outs of a lecture on Aho-Corarick string matching algorithm on Biosequence Algorithms course at University of Eastern Finland, Kuopio, in Spring 2012
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
Los Angeles Lakers tops, Miami Heat and Chicago Bulls follow as the most soci...Simplify360
Key Findings
Simplify360 has come up with March rankings of NBA Clubs, rating them as per their social score.
Here's a snapshot of the findings:-
1. The clubs are using social media to share updates of individual players and the club news in general. They also post updates of latest offers and ticket availability of match days.
2. Miami Heat is the most mentioned club on Twitter as well as on Facebook
3. Houston Rockets have the most engaged fan base on Facebook
4. LA Lakers are the most social club with an SSI score of 94
5. The big three clubs viz. LA Lakers, Miami Heat and Chicago Bulls have more than 47% of total fan following of the 30 NBA clubs on Facebook
6. Utah Jazz has the least SSI score. Only 16 of the 30 clubs have an SSI score of over 50 indicating the need for the clubs to concentrate on their social media strategy.
Drop in your comments please.
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Embracing GenAI - A Strategic ImperativePeter Windle
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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2. WHAT IS A KNIGHT’S TOUR PROBLEM?
A knight’s tour problem is a mathematical problem involving a knight
on a chess board . The knight on the chess board is moved according
to the rules of chess.
A knight's tour is a sequence of moves of a knight on a chessboard
such that the knight visits every square only once.
5. Knight’s tour can be represented as a graph.
The vertices -Represent the squares of the board.
The edges -Represent a knight’s legal moves between squares.
7. TYPES OF KNIGHT’S TOUR PROBLEMS
There are two types of problems:
1. Closed
2. Open
8. Knight’s tour
• Closed
• Open
If knight ends on a
square from which
the starting square
can be reached by
the knight , Then
that tour is a
closed one.
If the beginning
square cannot be
reached , Then
that tour is open.
12. BRUTE FORCE SEARCH
Very general problem solving technique.
Iterates through all possible move sequences.
For a regular 8x8 chess board, there are approximately
4×1051possible move sequences.
13.
14. DIVIDE AND CONQUER
Divide the board into smaller pieces.
Construct tours on each piece.
Patch all the pieces together.
15. WARNSDORFF’S ALGORITHM
Introduced by H. C. Warnsdorff in 1823.
Can be solved in linear time.
Very efficient algorithm for solving knight’s tour.
16. WARNSDORFF’S ALGORITHM
Some definitions:
A position Q is accessible from a position P if P can move to Q by a single knight's
move, and Q has not yet been visited.
The accessibility of a position P is the number of positions accessible from P.
Algorithm:
1. set P to be a random initial position on the board
2. mark the board at P with the move number "1"
3. for each move number from 2 to the number of squares on the board:
I. let S be the set of positions accessible from the input position
II. set P to be the position in S with minimum accessibility
III. mark the board at P with the current move number
4.return the marked board :each square will be marked with the move number on
which it is visited.
18. SOLVING KNIGHT’S TOUR
2-D array of 8x8 is created to represent a chessboard.
Each element in the array is assumed to be a square on the board.
Initially all the elements are assigned to 0 , to indicate that knight has
not visited any of these squares.
Shift the knight from the initial input position to anyone of the possible
positions and assign the number of that move to element in that
position.
If we could not find a tour , then shift the knight to any other of the
possible solutions. In this way check all the positions till you find a
solution.
19. C PROGRAM FOR SOLVING KNIGHT’S TOUR
..DownloadsstudiesSeminarknights mainnew.docx
23. INTERESTING FACTS ON KNIGHT’S TOUR
26,534,728,821,064 closed directed knight's tours are possible on 8x8
board.
The exact number of open knight’s tours is not found yet.
It’s estimated to be about 1015 to (2*1016).
24. MAGIC KNIGHT’S TOUR
The squares of the chess board are numbered in the order of the
knight’s moves.
Full magic knight’s tour:
Each column, row, and diagonal must sum to the same number.
Magic knight’s tour:
Each column and row must sum to the same number.
25.
26. Existence of full magic knight’s tour on 8x8 was a 150-year-old
unsolved problem.
In August 5, 2003, after nearly 62 computation-days, a search
showed that no 8x8 fully magic knight’s tour is possible
27. KNIGHT’S TOURS AND CRYPTOGRAPHY
A cryptotour is a puzzle in which the 64 words or syllables of a verse
are printed on the squares of a chessboard and are to be read in the
sequence of a knight’s tour.
28. Knight’s tour is simply an instance of Hamiltonian path.
A closed tour is a Hamiltonian cycle.
Knight's tour problem can be solved in linear time.
29. CONCLUSION
Warnsdroff’s rule is the best and efficient method to solve a knight’s
tour.
Warnsdroff’s rule gives always a closed tour.
Proficient usage of Data structures and the user interface help us to
code and understand the tour easily.