Tagged Questions

Questions about algorithms that make at each step the locally optimal choice.

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set with maximum sum consisting of mutually co-prime numbers

Definitions. Let $n$ be a natural number and $S$ be a subset of distinct natural numbers all less than $n$, and mutually co-prime. Then find the maximum sum the set $S$ can have. Example. Let $n=10$, ...
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Discrete optimisation in 5 variables

I need to solve the following optimisation problem and I can't come up with any solutions. Is there any algorithm to solve this type of problem. I tried to think of a greedy algorithm or brute force, ...
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Planning interviews

This is real-world problem, but I need to model it with algorithm as I am going to implement it (probably with PostGIS and Google Maps). Problem is: Everyday I am receiving job offers, and I have to ...
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Greedy algorithm correctness proof (UVA 10716)

Given an input string, not necessarily a palindrome, compute the number of swaps necessary to transform the string into a palindrome. By swap we mean reversing the order of two adjacent symbols (UVA ...
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Find orientation graph of undirected graph that mimimizes absolute difference of in-degree and out degree

Here's a question from our uni's ICPC programming competition selections. I'm stating it in simpler terms here. Given an undirected graph, orient the edges of the graph in such a manner that the ...
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How to prove greedy algorithm is correct

I have a greedy algorithm that I suspect might be correct, but I'm not sure. How do I check whether it is correct? What are the techniques to use for proving a greedy algorithm correct? Are there ...
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How can I divide a set of strings into subsets of fixed size with maximal homogeneity?

Suppose I have a set of 1000 binary strings of fixed length. I wish to divide these 1000 strings into 10 subsets of 100 strings each, in such a way that the subsets are maximally homogeneous. I want ...
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Proof for This Greedy Strategy for Equalizing An Array

Recently the following problem was posed in a private coding competition at my workplace: An array $A$ is given that has only positive integers in it. The objective is to equalize the array in ...
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In Data Mining, what does it mean to be greedy?

I am looking at a number of algorithms in Data Mining and some are described as being greedy. My issue is that they seem to be using the term greedy in different ways, which seems contradictory. For ...
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Minimizing the overall cost over groups

I am trying to solve the problem of minimizing the overall cost over several groups. The schema of the data goes something like this: ...
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Please check my Huffman tree [closed]

My professor gave an example of Huffman tree. Given inputs a 80 b 10 c 20 d 50 e 100 f 35 g 60 … then the tree will be: But when i tried to solve it at home, ...
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An algorithm for a minimization problem, How to minimize the wasted length of combination of multiple items with different length and number

Suppose there is an unlimited number of pipes, each has length $x$ meters. There is a list of requirements of pipes with shorter length than $x$. The number of these items are also given. For example ...
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Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraints

Does any approximation algorithm exist for maximization non-monotone submodular functions that might have negative values or be unbounded below? Fact 1: For monotone submodular functions, Nemhauser, ...
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Optimal way to join pieces when the cost of joining two pieces is $|x-y|$

There are $N$ pieces each having size $A_i$. The cost of joining a piece of size $x$ and a piece of size $y$ is $|x-y|$. What is the most optimal way to join all the pieces? Can it be solved using the ...
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A greedy approximation algorithm for max k-cut

The max k-cut problem is: Given an undirected graph G= (V;E) with nonnegative edge costs, and an integer k, find a partition of V into sets $S_1,\cdots,S_k$ so that the total cost of edges running ...
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I'm working on a paper that uses ε-greedy algorithms for choosing episodes of a sarsa q-learning algorithms. I searched for algorithm but couldn't get so much. Can you please give me the algorithms ...
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Greedy strategy for computing the minimum number of rays that hit all balloons

The minimum zap problem below is Exercise 11 in Jeff Erickson's lecture on "Greedy Algorithm". The minimum zap problem can be stated more formally as follows. Given a set $C$ of $n$ circles in the ...
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Minimum feedback vertex set [closed]

A greedy algorithm for finding a minimum feedback vertex set is to pick and remove a vertex with minimum $w(v)/\delta_H(v)$, where $Η$ is the current graph, until there are no more cycles left.What ...
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Approximate algorithm to find the minimum score

Given $n$ variables and a function $f$ such that $f(v) = N(v) + D(v)$, where $N$ and $D$ are the subfunctions of function $f$. Function $f$, can be considered as an oracle. Query: let $v \in P$, ...
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Confusion in CLRS's version of Prim's algorithm

The algorithm is as follows: ...
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Prim's algorithm: difference between brute force and PQ approaches

I'm trying to figure out the different way we obtain an MST with a brute force Prim's algorithm compared to the optimized version based on priority queues. Given a graph $G=(V,E)$, the former can be ...
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find max k sequence - is it greedy?

The original problem statement is: Given a sequence of numbers $A[1..n]$, find $k < n$ consecutive numbers such that the sum of these $k$ numbers is maximized where $k$ is a positive ...
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Counterexample to this modified Dijkstra's

In class, we were given the following problem: We are given a directed graph G = (V, E) on which each edge (u, v) ∈ E has an associated value r(u, v) which is a real number in the range 0 ≤ r(u, ...
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Correctness of the greedy algorithm

I am trying to solve the following problem: Given a matrix which consists of only 0's and 1's. Considering the matrix as a metal sheet, we need to "cut-out" square blocks of sizes 2x2 consisting of ...
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Coin Change Problem(Greedy Algorithm)

In Coin Change Problem, If the ratio of Coin Value(Coin(i+1)/coin(i)) is always increasing then we can use Greedy Algorithm? Example- 1,3,4 are denominations of coin. If I want to pay Rs.6 then the ...
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Matrix Chain Multiplication Greedy Approach

In the question Matrix Chain Multiplication you are given a chain of Matrices and is required to find the optimal way to multiply the matrices together. Normally this is solved using Dynamic ...
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Easiest improvement on first-fit for bin packing algorithm

See the interactive example here. First-fit on the left, optimal on the right. I know that in general, optimal bin-packing is NP-hard, so I'm not looking for a perfect solution. I'm looking for the ...
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Delivery Algorithm - Find shortest paths

Given - A center(lat=x,lng=y) 'C' from which a delivery boy makes a round trip. A delivery boy has a bag which may contain at the most 10 boxes to deliver. A set of points Di (lat=xi,lng=yi) ...
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Greedy algorithm proof

There are 2n product and their prices: P={p_1, p_2, ..., p_2n}. When we buy the products in pairs we get the product with lower ...
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Please explain a greedy algorithm in a naive manner [closed]

I am a beginner in the topic of algorithms. I have a query about Greedy Algorithms. From what I understand, if there is a function and we are supposed to find its maxima/minima, if we find the local ...
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Greedy algorithm correctness proof for “Elegant Permuted Sum” (UVa 11158)

Given a sequence of $2 \leq n \leq 50$ numbers $s = (s_1,s_2,...,s_n)$, find a permutation $a = (a_1,a_2,...,a_n)$ of $s$ such that $$\sum_{i=1}^{n-1} |a_i - a_{i+1}|$$ is maximized. I found many ...
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How to cluster similar objects into fixed size groups?

I have $n$ people each of which can meet on certain days of the week. I want to group them into $\frac{n}{k}$ groups of size $k$ such that all people in a group can meet on a day. eg - Suppose there ...
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Relation between the “Point-Cover-Interval” problem and the “Interval Scheduling” problem

Point-Cover-Interval Problem: Given a set $\mathcal{I}$ of $n$ intervals $[s_1, f_1], \ldots, [s_n, f_n]$ along a real line, find a minimum number of points $P$ such that each interval contains some ...
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Approximation ratio of a greedy grid-cover algorithm

We're given a $N\times M$ grid, and we want to cover all coordinates in the greedy by rectangles of size $\le k$. Consider the following greedy algorithm. At each iteration, it chooses a rectangle ...
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Updating the MST of a graph G = (V,E) when decreasing the weight of one of the edges that is not part of the MST

You are given a weighted undirected graph G = (V,E). You have run Prim's algorithm and found the MST of this graph. Now you pick one edge that is not part of the MST and reduce its weight by some ...
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People crossing a bridge (a proof for a greedy algorithm)

The problem Some people are crossing a bridge. Each one takes a different time to pass. Assume the people are sorted by their passing time increasingly. These are the conditions of crossing the ...
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Interval scheduling scheduling problem with minimal workers

I am writing a greedy algorithm for a variation of the interval scheduling problem that I haven't seen before. I have a set of jobs, each with start and finish time. All jobs in set must be assigned ...
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Knapsack Greedy Approximation: Worst Case

I am currently studying approximation algorithms and I have run into an issue with a study problem. The approximation algorithm is for the general Knapsack problem, and it proposes a greedy approach, ...
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Huffman code optimal substructure property

I am learning about Greedy Algorithms and we did an example on Huffman codes. To prove the correctness of our algorithm, we had to have the greedy choice property and the optimal substructure property....
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Going deeper with pseudo-polynomial time algorithm for set partitioning

If I have a set of (edit) positive integers, and I'm sure that the pseudo-polynomial time algorithm for partitioning the problem will not give me an answer - what would I do next? To illustrate this ...
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Can sampling remove the limitations in greedy algorithm?

Given the limitations of greedy (i.e., not always finding the optimal solution), does sampling the data space in a randomized manner or some structured manner reduce or remove the limitations of ...
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In load balancing problem we have $m$ machines and $n$ jobs, each taking processing time $t_j$. Total processing time on the machine $i$ is $T_i =\sum_{j\in A(i)}{t_j}$, where $A(i)$ is the set of ...
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Greedy and backtracking solutions to an arrangement problem with constraints

I'm revising for my finals. I have found a pattern in past papers in terms of a recurring question, reworded coming up every year. But I've no idea what the marker actually wants... I've asked class ...
I'm revising for an Algorithms exam and looking at a sample question it says : A group of n teenagers $t_1, \dots, t_n$ are to sit in a single row of n chairs watching a particulary boring comedy ...