Suppose A = {Z1, Z2,...,Zn) is an array of n numbers and [a1, b], [a2, b]...
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Suppose A = {Z1, Z2,...,Zn) is an array of n numbers and [a1, b₁], [a2, b₂] ... [an, bn] be an n intervals with 1 ≤ ai≤ bi ≤n, for all 1 ≤ i ≤n. Design an algorithm for every interval [ai, bi], determines the value mi= min {xi | ai ≤ j≤ bi}. The algorithm should compute all values m₁, m2,..., mn at the same time. The running time complexity should be O(n log n). There is no need to analyses or prove your algorithm, however, describe algorithm in detail and should meet given big-Oh running time Suppose A = {Z1, Z2,...,Zn) is an array of n numbers and [a1, b₁], [a2, b₂] ... [an, bn] be an n intervals with 1 ≤ ai≤ bi ≤n, for all 1 ≤ i ≤n. Design an algorithm for every interval [ai, bi], determines the value mi= min {xi | ai ≤ j≤ bi}. The algorithm should compute all values m₁, m2,..., mn at the same time. The running time complexity should be O(n log n). There is no need to analyses or prove your algorithm, however, describe algorithm in detail and should meet given big-Oh running time Suppose A = {Z1, Z2,...,Zn) is an array of n numbers and [a1, b₁], [a2, b₂] ... [an, bn] be an n intervals with 1 ≤ ai≤ bi ≤n, for all 1 ≤ i ≤n. Design an algorithm for every interval [ai, bi], determines the value mi= min {xi | ai ≤ j≤ bi}. The algorithm should compute all values m₁, m2,..., mn at the same time. The running time complexity should be O(n log n). There is no need to analyses or prove your algorithm, however, describe algorithm in detail and should meet given big-Oh running time Suppose A = {Z1, Z2,...,Zn) is an array of n numbers and [a1, b₁], [a2, b₂] ... [an, bn] be an n intervals with 1 ≤ ai≤ bi ≤n, for all 1 ≤ i ≤n. Design an algorithm for every interval [ai, bi], determines the value mi= min {xi | ai ≤ j≤ bi}. The algorithm should compute all values m₁, m2,..., mn at the same time. The running time complexity should be O(n log n). There is no need to analyses or prove your algorithm, however, describe algorithm in detail and should meet given big-Oh running time
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Answer rating: 100% (QA)
You can solve this problem efficiently using a segment tree Heres a detailed algorithm to find the minimum values within each interval ai bi for an ar... View the full answer
Related Book For
An Introduction to Measure Theoretic Probability
ISBN: 978-0128000427
2nd edition
Authors: George G. Roussas
Posted Date:
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