acm icpc-briefing-prof-nbv
TRANSCRIPT
An awareness program on ACM –
ICPC( Programming Competition)
A Briefing Session 1Prof NB Venkateswarlu,
B.Tech, M.Tech(IIT-K), PhD(BITS, Pilani), PDF(U of Leeds, UK)
AITAM, Tekkali
10th March 2015
9.30AM
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What is ACM?
Internationally, ACM stands for
Association of Computing Machinery
About ACM ACM, the Association for Computing Machinery
www.acm.org, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
International Collegiate Programming Contest
(ICPC)
World renowned programming competition.Regionals World Finals
Other Programming Competitions
International Olympiad in Informatics
http://www.ioinformatics.org
Microsoft Imagine Cuphttps://www.imaginecup.co
m
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Annual Code Match (ACM) We borrowed the acronym 'ACM' and made it
Annual Code Match The IBM-Annual Code Match 2006 & 2007
– Modelled after ACM-ICPC, but held at university-level, closed doors
– Sponsored by IBM Malaysia– http://fit.mmu.edu.my/codematch
The winning teams were sponsored to ACM-ICPC Asia Regionals in Manila (Oct 2006) and Singapore (Dec 2007)!
www.challenge24.org
Where are you great India, so called the mighty IT Giant?
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Why take part in competitions? Develop your problem-solving skills
To break Google, FB, Yahoo, Amazon Interviews and earn 1.7Cr package and gloom in News Papers and bring fame to your parents, and to your college,
To win some cash $$ or prizes. An opportunity to represent the university in various
competitions if selected …and normally that's fully sponsored! It’s where you can demonstrate what you are really capable
of Learn to compete seriously! Good for your CV?
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Why this two day course is organized?
Find the cream of the crop...to represent your Institute in future competitions (Especially ACM-ICPC)
Develop a problem-solving 'culture' among our students
Provide the talented students a platform to increase their potentials (forget about the classroom...)
Stone sharpens stone ALSO TO KNOW YOUR INTEREST TO
CONTINUE THIS ACTIVITY.
How I am qualified for the delivery of this two
day course?
My Books
http://www.amazon.com/dp/
B00T1OK42K
http://www.amazon.com/dp/
B00RFDZT2E
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ACM Rules…briefly
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ACM Rules Languages: C, C++, Java Each team will be provided with 1 computer
usually with Linux Allowed to bring in 25 pages of notes Contest will be run for 5 hours
– Food and drinks will be normally provided Number of questions: 7-10 Contest is conducted using PC2 system
– Submission of answers– Clarification– Judging (human and/or computer judge)– Live scoreboard
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Scoring System Solutions to problems submitted are called runs. Teams are ranked according to most problems
solved Teams that solve the same number of problems
are ranked by – Least total time– Earliest time of submittal of last accepted run
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Scoring System Total time = Sum of time consumed for each
problem Time consumed = Time elapsed from beginning
of contest to submittal of accepted run Each rejected run: +20 penalty minutes No time is consumed for an unsolved problem Output must be exactly same as required
format, otherwise considered wrong!
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Sample Scoreboard
2006 ACM Final Scoreboard
Submitting
• You will receive one of several responses:– Format error– Time limit reached– Runtime error (division by 0, out of memory,
exception thrown, etc.)– Compile error– Wrong answer– Correct!
• The judges only give you one at a time– If you have two or more problems, you’ll usually
only get the more embarrassing of them
Always have someone typing
• Typing and compiling is time intensive, and there’s only one keyboard– If your program isn’t working, print it and debug
it by hand– Let someone else sit and type!
• If you’re waiting for the computer, write some code out by hand or ask a neighbor for their opinion on your algorithm
• If it has you read until end of input, use:while (cin >> x)
Questions
You can submit questions to the judges about problems
Updates will be given to everyone if there is a typo or other error
You will get one of two responses:– A clarification– No answer (i.e. read the problem more
closely)
Test the judge’s input
They give you 1 or 2 sample inputs and solutions; test them!– There will normally be simple cases.
Make sure your format exactly matches the judge’s sample output!– They use a file compare (via a script) so it
must be very close
End cases
The judges are very tricky with their tests If the problem says inputs will be
between A and B, you can almost bet that inputs of size A and B will be tested
Be wary of carefully worded questions!
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Typical ACM Problem Format(1) Problem description
(2) Input description
(3) Output description
(4) Sample input
(5) Sample output
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Standard I/O technique Input stream has to be continuously inputted
with data (number, char, string, etc.) until it finishes.
Output will show all that has been processed. May not be the best way to test your codes, but
it is required for submission. Use Input File Piping technique for easier
testing & debugging of data
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Sample Problem Finding the absolute difference between 2
numbers
Demo– Standard “continuous” I/O (for submission of solution)
– Input File Piping (for testing/debugging)
Sample Input:
3 7
2 -2
Sample Output:
4
4
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File Reading – Not often Possibly need to do file reading if the problems
require you to specifically use a certain name of input text file such as “data.txt”, but this is rare.
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(PC)2 Submission System Software for teams to submit their answers for
evaluation. Result feedback (Accepted or Rejected with specific reason) is quite fast.
Software allows teams to test (compile and run) their answers with the server environment.
Answers are evaluated with judges' own set of test data
Some Important Concepts
Backtracking Complete Search Dynamic Programming Encryption Game/Puzzle Chess Sudoku Graph Theory Greedy Mathematical
Some Important Concepts
Bases General Geometry Perfect Squares Physics Parsing Straightforward Tree
Be generous with your memory!
Make your arrays twice as big as necessary– Off by one error are difficult to find!
Use the STL (strings, vectors, everything!)
Use long long instead of int Use double instead of float
Code quickly at the cost of efficiency
The faster you type, the faster you submit!
Use the STL if it makes it easier for you– If you can’t remember how to use the STL
sort, write a simple (bubble?)sort. Who cares!
Generally, if you get a “time limit reached”, your algorithm needs to be changed, not just little things in your code
Helpful suggestion
Bring printed code, such as the algorithms we’ll talk about.
• You won’t have to remember them and know you have a working/correct version too.
– If someone is not typing in an answer, type in the algorithm so the template is ready to use.
– Also data structures you may want to use (trees for example).
– Including a “read a file” code. You know it works, then one least thing to think about.
math
Number theory– Very popular in the program contests– For ICPC, you need a rather small but useful
set• Prime table generation, primality testing, greatest
common divisor, modular arithmetic and congruence (solving linear congruences), and Euler’s
– A Note, Java’s BigInteger class has a number of number-theoretic functions, like gcd, modular exponentiation, primality testing, etc.
String manipulation
There have been a number of string manipulation questions over the years.
Learn the string library– At the least substring, replace, find etc.– Regex maybe really helpful.
algorithms Brute force algorithms
– From nested loop algorithms to backtracking (easier with recursion).
• Breath first search.• Depth first search is recursive and has nice
bracktracking features. Dynamic Programming
– Recursive algorithm that is composed of subproblems
• Coin flipping and fibonacci are simple examples• Longest Common Subsequence (LCS), Longest
Increasing Subsequence (LIS), Optimal Binary Search tree (OBST), 0-1 knapsack, edit distance, Matrix Chain Product are increasing harder examples.
algorithms
Trees and priority queues, not necessary an algorithms, but can speed things up.
Graph theory– How to represent things and then use BFS
and DFS, and topological sorting.• Does the graph have cycles?
Classic Problems algorithms
Shortest paths (Dijkstra for example) Spanning trees (Prim or Kruskal) Eulerain paths and circuits Matchings in bipartite graphs Network flow (max flow, min cost flows)
Geometry.
STL: Deque
#include <deque> deque<int> x; x.push_back(20); x.pop_back(); x.back();
x.push_front(20); x.pop_front(); x.front(); x.resize(100); x[10] OR x.at(10); x.clear();
STL: Strings
• #include <string>• string str; string str(“foo”); string str(10, ‘c’);• str += “bar”;• Find
– str.find(“aaba”); str.rfind(“aaba”);– str.find_first_of(“AEIOU”);– str.find_last_not_of(“AEIOU”, 5);– Returns an int, or string::npos if none found
• str.substr(int position, int length)
STL: Algorithms• #include <algorithm>• swap(a, b); // Any type that has = can go here!• reverse(arr, arr + 10);
reverse(deq.begin(), deq.end());• Sorting
– sort(arr, arr + 10); sort(deq.begin(), deq.end());– sort(arr, arr + 10, lessThanFunction);
bool lessThanFunction(const Type& t1, const Type& t2){
if (t1 < t2)return true;
return false;}
STL: Algorithms
#include <algorithm> Permutations
int x[] = {3, 5, 4, 1, 2};sort(x, x + 5);do {
// stuff} while (next_permutation(x, x + 5));
STL: formatting• #include <iomanip>• double d = 12345.6789;• cout << d << endl;• cout << setprecision(3) << d << endl;• cout << setprecision(3) << fixed << d << endl;• cout << setprecision(1) << fixed << 0.55 <<
endl;
• int i = 42;• cout << hex << i << endl;• cout << hex << uppercase << i << endl;• cout << i << endl;• cout << dec << i << endl;
• 12345.7• 1.23e+04• 12345.679• 0.6
• 2a• 2A• 2A• 42
Algorithms Brush up on
– depth-first search, breadth-first search (or just use iterative deepening DFS)
• N-Trees, but lots of other uses as well.
minimum spanning trees http://en.wikipedia.org/wiki/Minimum_spanning_tree– Lots of varying algorithms listed at the bottom of the page
Algorithms (2)
shortest path, like Dijkstra’s algorithm– http://en.wikipedia.org/wiki/
Dijkstra’s_algorithm– http://en.wikipedia.org/wiki/
Shortest_path_problem (Max) flow problems
– http://www-b2.is.tokushima-u.ac.jp/~ikeda/suuri/maxflow/Maxflow.shtml
• Good demo of max flow and min cut algorithms.• Also links to some other versions of spanning tree
algorithms.
Algorithms (3)
Greatest common divisor is a fun one to remember too– And remember, if gcd(a, b) == 1, then a and
b are relatively prime!
Dynamic programming/memoizatio
n• Recursive algorithm that is composed of
subproblems– You keep recomputing the subproblems!– Save them in an array and look them up– Start with the recursive version first, then
modify it to save work
• Examples– Fibonacci– Coin problem
Geometric algorithms
Geometric algorithms
Intersection– Four points: a1, a2, b1, b2– Compute:
• dir1 = direction(b1, b2, a1)• dir2 = direction(b1, b2, a2)• dir3 = direction(a1, a2, b1)• dir4 = direction(a1, a2, b2)
– If dir1/dir2 are opposite signs, and dir3/dir4 are opposite signs, they intersect
a1
a2
b1
b2
dir1
dir2
dir3
dir4
a1
a2
b1
b2
dir1
dir2
dir3
dir4
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Debunking some myths
I know C, C++, C#, Java, Pascal, Perl, Python, LISP,… I don’t think I have much problem with programming!
Good in programming == Good in problem solving
Look, I know how to solve this problem on paper!
In ACM, programming is just a tool
Can you code it?
!=
Here, we want to solve problems, not write nice programs
I can write a really nice program, with neat functions and classes you know!
Some Important Difficulties of students.
Most students do not perform well under limited time pressure. This hinders their performance not only in programming competitions, but also in employment interviews that focus on immediate problem solving.
Students have difficulty with the analysis of new problems and being able to select an appropriate algorithm.
Students often have difficulty expressing their point of view on how a problem should be solved. They might lack confidence or communication skills, or they may not have experience in explaining the workings of an algorithm.
Students at the Junior year level have had little or no exposure to teamwork in a problem solving context.
Some useful online judging sites
www.spoj.com www.wcipeg.com http://acm.pku.edu.cn/JudgeOnline/ icpcres.ecs.baylor.edu/onlinejudge www.iarcs.org.in https://www.hackerrank.com https://www.hackerrank.com
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Useful Resources “Programming Challenges: The Programming Contest
Training Manual” by Steven Skiena & Miguel Revilla– http://fit.mmu.edu.my/codematch/acm_downloads.php
UVA Problemset Archive – favourite spot for people to train for ACM contests– http://uva.onlinejudge.org/
– PLEASE register an account and try out the problems!
ACM-ICPC Live Archive – past year regional/world final questions– http://acmicpc-live-archive.uva.es/nuevoportal/
Dictionary of Algorithms and Data Structures maintained by NIST
http://www.nist.gov/dads
Skiena Steven, Stony Brook Algorithm
Repository, http://www.cs.sunysb.edu/~algorith
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The “Guidebook” Data Structures Strings Sorting Arithmetic Combinatorics Number Theory Backtracking Graph Traversal Graph Algorithms Dynamic Programming Grids Geometry Computational Geometry
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Some things to kickstart…
Register in mmu-acm Google Group – for communication, discussion, sharing– http://groups.google.com/group/mmu-acm
– Invitation will be sent out soon…
You may work closely with people whom you’re comfortable with. Teamwork can be forged early.
Continue to sharpen your programming skills Learn useful algorithms for problem-solving
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Questions?
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Session 2
OK, we are going to try some very simple problems!
Counting characters in a range
• Input will consist of two integers, 0 < N < 100
• For each of the numbers in between these two numbers (inclusive), count the occurrences of each digit
• Example: 17 21– 17 18 19 20 21– 0=>1 7=>1
1=>4 8=>12=>2 9=>1
Counting characters in a range
• cin >> a >> b;for (i = a; i <= b; ++i){
++arr[i / 10];++arr[i % 10];
}
• 17 21 ?• 21 17 ?
Problem #1 If you have a one-dimensional array of
unsorted number such as0, 9, 3, 15, 4, 11, 25, 3, 0
Convert it into a two-dimensional array whose numbers of row and column are equal, such that the largest element is at the top left corner, and continue to put the next largest element in-ward in a clock-wise manner
25 15 11
0 0 9
3 3 4
Solution to HW Problem #1
1. Let input_size = the size of input array2. table_size = ceil(sqrt(input_size))
– Note that ceil() is the function that rounds the input number to the nearest integer greater than the input number
– sqrt() is the square root function.
3. Sort input array (from smallest value to largest value)
i. Create an empty array of input_size and name it temp
ii. Set value index = 0iii. Find the smallest value in input array and
put it in temp[index]iv. Replace the smallest value with ∞v. index = index + 1vi. Repeat from iii to vi until index ==
input_size
4. Create 2-dimensional array of table_size*table_size named output_array
Solution to HW Problem #1 (ii)
5. Set index_row = index_column = 0, index = input_size-16. do7. output_array[index_row][index_column] = temp[index]8. [index_row, index_column] = next(index, input_size, table_size)9. index = index – 1;10. While index >= 011. Return output_array
Solution to HW Problem #1 (iii)
Subroutine next(index, index_row, index_col, input_size, table_size)
1. track_dex = input_size – index -12. If track_dex < 4(table_size-1)
if track_dex < table_size return [index_row, index_col +1]
else if track_dex < 2*table_size – 1 return [index_row+1, index_col]
else if track_dex < 3*table_size – 2 return [index_row, index_col-1]else return [index_row – 1, index_col]
3. Else return next(index-4(table_size-1),index_row, index_col, input_size – 4(table_size-1),table_size – 2);
Session 3
Programming Examples Continued
Session 4 – Recapitulation of
Mathematics
Session – 5Recapitulation of Data
Structures
Session 6Some More Puzzles
Session 7Some More Puzzles
Session 8Some More Puzzles
Any Questions
Thanks
To you The Management The Principal Head, Dr Srinivasarao Garu Mr. Mahesh