This document outlines several theorems about partial order games:
1. Theorem 1 proves that in a game with n stacks of height 1, Player 1 wins if n is even and Player 2 wins if n is odd.
2. Theorem 2 generalizes the game to include "lambdas" (upside-down Y shapes) and line segments, proving that Player 1 wins if the total number of lambdas and line segments plus the number of nodes is odd.
3. Theorem 3 proves that if a game has a "totally comparable point" connected to all other nodes, Player 1 has a winning strategy.
Bch and reed solomon codes generation in frequency domainMadhumita Tamhane
Digital signal processing is permeated with application of Fourier Transforms. When time variable is continuous, study of real-valued or complex valued signals rely heavily on Fourier transforms. Fourier Transforms also exist on the vector space of n-tuples over the Galois field GF(q) for many values of n, i.e. code-words. Cyclic codes can be defined as codes whose code-words have certain specific spectral components equal to zero. Conjugacy constraints provide an analogous condition for a finite field. BCH and Reed Solomon codes can be easily generated in frequency domain based on conjugacy constraints.
Bch and reed solomon codes generation in frequency domainMadhumita Tamhane
Digital signal processing is permeated with application of Fourier Transforms. When time variable is continuous, study of real-valued or complex valued signals rely heavily on Fourier transforms. Fourier Transforms also exist on the vector space of n-tuples over the Galois field GF(q) for many values of n, i.e. code-words. Cyclic codes can be defined as codes whose code-words have certain specific spectral components equal to zero. Conjugacy constraints provide an analogous condition for a finite field. BCH and Reed Solomon codes can be easily generated in frequency domain based on conjugacy constraints.
Laurent's Series & Types of SingularitiesAakash Singh
Detailed explanation of Laurent's series and various types of singularities like Essential Singularity, Removable Singularity, Poles, Isolated Singularity, etc.
Weight enumerators of block codes and the mc williamsMadhumita Tamhane
Best possible error control codes of a certain rate and block length can be adjudged depending on bounds such that no codes can exist beyond the bounds and codes are sure to exist within the bounds. This presentation gives composition structure of Block codes and the probability of decoding error and of decoding failure.Mac William's Identities is relationship between weight distribution of a linear code and weight distribution of its dual code, which hold for any linear code and are based on vector space structure of linear codes and on the fact that dual code of a code is the orthogonal compliment of the code...
Error control codes are necessary for transmission and storage of large volumes of date sensitive to errors. BCH codes and Reed Solomon codes are the most important class of multiple error correcting codes for binary and non-binary channels respectively. Peterson and later Berlekamp and Massey discovered powerful algorithms which became viable with the help of new digital technology. Use of Galois fields gave a structured approach to designing of these codes. This presentation deals with above in a very structured and systematic manner.
The slides demonstrate how to break RSA when used incorrectly without integrity checks. The man-in-the-middle is allowed to edit the RSA public exponent e in such a way that the Extended Euclidean Algorithm can be employed to reconstruct the plaintexts from the given ciphertexts.
This is a detailed review of ACM International Collegiate Programming Contest (ICPC) Northeastern European Regional Contest (NEERC) 2015 Problems. It includes a summary of problem and names of problem authors and detailed runs statistics for each problem. Video of the actual presentation that was recorded during NEERC is here https://www.youtube.com/watch?v=vn7v1MuWXdU (in Russian)
Note: there were only preliminary stats avaialble, because problems review was happening before before the closing ceremony. This published presentation has full stats.
In this paper we study the self-dual codes of lengths 98 and 100 with minimum weight 18 invariant under a cyclic group of order 15. We prove that the putative self-dual $[98, 49, 18]$ codes do not have automorphisms of order 15.
Laurent's Series & Types of SingularitiesAakash Singh
Detailed explanation of Laurent's series and various types of singularities like Essential Singularity, Removable Singularity, Poles, Isolated Singularity, etc.
Weight enumerators of block codes and the mc williamsMadhumita Tamhane
Best possible error control codes of a certain rate and block length can be adjudged depending on bounds such that no codes can exist beyond the bounds and codes are sure to exist within the bounds. This presentation gives composition structure of Block codes and the probability of decoding error and of decoding failure.Mac William's Identities is relationship between weight distribution of a linear code and weight distribution of its dual code, which hold for any linear code and are based on vector space structure of linear codes and on the fact that dual code of a code is the orthogonal compliment of the code...
Error control codes are necessary for transmission and storage of large volumes of date sensitive to errors. BCH codes and Reed Solomon codes are the most important class of multiple error correcting codes for binary and non-binary channels respectively. Peterson and later Berlekamp and Massey discovered powerful algorithms which became viable with the help of new digital technology. Use of Galois fields gave a structured approach to designing of these codes. This presentation deals with above in a very structured and systematic manner.
The slides demonstrate how to break RSA when used incorrectly without integrity checks. The man-in-the-middle is allowed to edit the RSA public exponent e in such a way that the Extended Euclidean Algorithm can be employed to reconstruct the plaintexts from the given ciphertexts.
This is a detailed review of ACM International Collegiate Programming Contest (ICPC) Northeastern European Regional Contest (NEERC) 2015 Problems. It includes a summary of problem and names of problem authors and detailed runs statistics for each problem. Video of the actual presentation that was recorded during NEERC is here https://www.youtube.com/watch?v=vn7v1MuWXdU (in Russian)
Note: there were only preliminary stats avaialble, because problems review was happening before before the closing ceremony. This published presentation has full stats.
In this paper we study the self-dual codes of lengths 98 and 100 with minimum weight 18 invariant under a cyclic group of order 15. We prove that the putative self-dual $[98, 49, 18]$ codes do not have automorphisms of order 15.
I am Geoffrey J. I am a Stochastic Processes Homework Expert at excelhomeworkhelp.com. I hold a Ph.D. in Statistics, from Edinburgh, UK. I have been helping students with their homework for the past 6 years. I solve homework related to Stochastic Processes. Visit excelhomeworkhelp.com or email info@excelhomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Stochastic Processes Homework.
I am Craig D. I am a Stochastic Processes Assignment Expert at statisticsassignmenthelp.com. I hold a Master's in Statistics, from The University of Queensland. I have been helping students with their homework for the past 9 years. I solve assignments related to Stochastic Processes.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Stochastic Processes Assignments.
I am Ben R. I am a Statistics Assignment Expert at statisticshomeworkhelper.com. I hold a Ph.D. in Statistics, from University of Denver, USA. I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticshomeworkhelper.com or email info@statisticshomeworkhelper.com.
You can also call on +1 678 648 4277 for any assistance with Statistics Assignment.
I am Luther H. I am a Stochastic Process Exam Helper at statisticsexamhelp.com. I hold a Masters' Degree in Statistics, from the University of Illinois, USA. I have been helping students with their exams for the past 8 years. You can hire me to take your exam in Stochastic Process.
Visit statisticsexamhelp.com or email support@statisticsexamhelp.com. You can also call on +1 678 648 4277 for any assistance with the Stochastic Process Exam.
Solution manual for introduction to nonlinear finite element analysis nam-h...Salehkhanovic
Solution Manual for Introduction to Nonlinear Finite Element Analysis
Author(s) : Nam-Ho Kim
This solution manual include all problems (Chapters 1 to 5) of textbook. There is one PDF for each of chapters.
This file contains the contents about dynamic programming, greedy approach, graph algorithm, spanning tree concepts, backtracking and branch and bound approach.
3. Introduction
Definition: A Partially Ordered Set (Poset) is a set
with a relation “≤” satisfying
1. x ≤ x for all x X ( Reflexive Property)
2. x ≤ y and y ≤ x implies x = y ( Anti-Symmetric)
3. x ≤ y , y ≤ z implies x ≤ z ( Transitive Property)
4. Example of Poset
x ≤ y
We draw a finite Poset in the plane with
x ≤ y connected by downward paths.
y
x
5. Rules of 2-Player Poset
Game
A Player can only remove one node per
move.
The player to remove the last Node Loses.
Note: When removing a node, everything
above it is taken as well.
y
x z z
7. Theorem 1
Given: n stacks of height 1
Thus:
If n is even then Player 1 (P1) wins
If n is odd then Player 2 (P2) wins
n
8. Proof of Theorem 1
P(n): Given n stacks of height 1, P1 wins when n is even and
P1 loses when n is odd.
Claim: Theorem is true for n stacks.
Base Step: n=1.
There is only 1 node present and P1 must remove it,
therefore P1 loses.
9. Inductive Hypothesis: Assume theorem is known for n-1
stacks.
Inductive Step: Assume P(n-1), show P(n) is true.
Case 1: Assume n is even → P1 moves. The remaining number
of stacks n-1 is odd → P1 wins by the inductive hypothesis
Case 2: Assume n is odd → P1 moves. The remaining number
of stacks n-1 is even → P1 loses by the inductive hypothesis
Proof of Theorem 1 cont.
10. The Lambda Game
We know that in the one node, n-stack game that
P1 will take the last node if n is odd and P2 will
take the last node if n is even.
Consider the addition of the following element:
Now we have the following game:
11. Conjecture 1
Suppose we have a graph of l ‘lambdas’ and n nodes,
where l ≥ 1 and n ≥ 0, then:
If l or n is odd then Player 1 will win.
If l and n are even then Player 2 will win.
l=1, n=5
l=2, n=0
P1 wins
P2 wins
Examples:
13. Conjecture 2
Thus we will have the following conjecture:
Suppose we have a graph of l ‘lambdas’, s segments
and n nodes, where l + s ≥ 1 and n ≥ 0, then:
If l + s or n is odd then Player 1 will win.
If l + s and n are even then Player 2 will win.
l+s=1, n=2
P1 wins
l+s=2, n=2
P2 wins
14. k-Segmented Lambdas
Using conjectures 1 and 2, we can adapt a theorem for a game
of n nodes and l lambdas containing k segments (treating line
segments s as single segmented lambdas).
Theorem:
Suppose we have a graph of l, k segmented ‘lambdas’ and n nodes,
where k, l ≥ 1 and n ≥ 0, then:
If l or n is odd then Player 1 will win.
If l and n are even then Player 2 will win.
.....
ln
K
15. Proof of Theorem 2
Base case: l = 1 (k segments)
P1 wins because:
- P1 removes a line segment if n and k are both
even or are both odd.
- P1 removes top node if n or k are odd.
n
.....K
16. Proof of Thm 2 cont.
Inductive Hypothesis: Assume we know the theorem holds for l-1:
- If l-1 or n is odd then P1 wins.
- If l-1 and n are even then P2 wins.
Inductive step: Show that this works for l
Case 1: l is odd. (Claim: P1 always wins.)
a. If n is odd then P1 removes line segment, destroying a ‘lambda’,
to leave P2 with l-1 ‘lambdas’ and n + 1 nodes, both n and l being even
b. If n is even then P1 removes a top node, destroying a ‘lambda’, to
leave P2 with l-1 ‘lambdas’ and n + 2 nodes, both being even.
17. Proof of Thm 2 cont.
Case 2: l is even.
- The first player to destroy a ‘lambda’ loses in this case so now
the players are going to be choosing from n. Therefore we must
revert back to Davian’s inductive proof of n nodes.
• If n is odd, P1 will take the last node in n leaving P2 to
destroy the first ‘lambda’ (P1 win)
• And if n even, P2 will take the last node in n leaving P1 to
destroy the first ‘lambda’ (P2 win)
18. The Terminus Node Game
A game with single node at the top of
the diagram which is connected to
every node below it.
Example:
19. Theorem 3
If a poset game has a Totally Comparable Point, call it
the TCP, z such that for all x, x ≥ z or z ≥ x and z is not
minimal, then there exists a winning strategy for player
1 (P1).
(B)
(M) o
20. Proof of Theorem 3
Assume there exist a strategy for (B). Show P1 wins (M).
Case 1:
- If P1 wins game (B), then P1 will use the same strategy.
The strategy will have the same result in (M) because the
TCP is comparable to each of the nodes above it so they
will be removed as well. Thus P1 wins.
Case 2:
- If P2 wins game (B), then P1 will remove the TCP,
leaving only game (B). Then, P1 will be the 2nd player in
the game (B). Thus, P1 wins.
21. Power Set Games
The Power Set is a fundamental example
of a partially ordered set:
• If X is a set, P(X) = Set of all subsets of X.
• : A B iff x A implies x B
(P(X), ) is a partially ordered set.
23. Who will win the power set
games?
P1 will always win the Power Set Game if |X| ≠ 0
because of Theorem 3:
There exists a maximal element (TCP) of P(X)
--- namely X.
24. What next?
So we consider the sub-games of P(X), (k -- k+1)
which involves all subsets of X containing k or (k+1)
elements (0 ≤ k < |X|).
P({1,2,3}), 1 -- 2
{1} {2} {3}
{1,2} {1,3} {2,3} 2 - elements subsets
1 - elements subsets
29. Concluding Conjecture
If |X| = 2n + 1,
then P1 wins all P(X), k -- k+1 games (0 ≤ k < 2n+1)
If |X| = 2n then:
• P1 wins all P(X), k -- k+1 games (n ≤ k < 2n)
• P1 wins all P(X), k -- k+1 games (0 ≤ k < n)