For each of the following recurrences, provide English description in terms of the parameters i and j. (a) (b) LIS LEC(i, j)= LIS LAB(i, j) = LIS LEC (i-1, j) max max LIS LEC(i-1, j) 1+LIS LEC(i-1, i) 0 LISLAB (i + 1, j) { LIS LAB (i+1, j) 1+LIS LAB(i+1, i) } i=0 A[i]> A[j] A[i]n if i ≤n and A[j] ≥ A[i] otherwise Your solution should be a simple, short, English description of each recurrence. No long proofs for correctness are necessary. This is to make sure you understand how to describe a function (and no, saying "LIS returns the longest increasing subsequence length." is not a sufficient description)
For each of the following recurrences, provide English description in terms of the parameters i and j. (a) (b) LIS LEC(i, j)= LIS LAB(i, j) = LIS LEC (i-1, j) max max LIS LEC(i-1, j) 1+LIS LEC(i-1, i) 0 LISLAB (i + 1, j) { LIS LAB (i+1, j) 1+LIS LAB(i+1, i) } i=0 A[i]> A[j] A[i]n if i ≤n and A[j] ≥ A[i] otherwise Your solution should be a simple, short, English description of each recurrence. No long proofs for correctness are necessary. This is to make sure you understand how to describe a function (and no, saying "LIS returns the longest increasing subsequence length." is not a sufficient description)
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
-
Solutions to a dynamic
programming problem have (at minimum) three things: – A recurrence relation– A brief description of what your recurrence function represents and what each case represents.
– A brief description of the memory element/storage and how it’s filled in.
– Always give complete solutions, not just examples.
– Always declare all your variables, in English. In particular, always describe the specific- problem your
algorithm is supposed to solve. – Never use weak induction.
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