The issue is said to have the given property if it is feasible to develop an optimum solution for the problem by first successfully creating optimal solutions for each of the problem's subproblems. a) Subproblems that overlap one another, b) achieving optimum substructure; c) memory; and d) being greedy
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- Complete the tables for dynamic programming for the Longest Common Sub-sequence (LCS) Problem on X = CGAT AC and Y = ACGCT AC. Let c(i, j) represent the length of LCS(X;,Y;), where X; the first i letters of X and Y; = (y1, Y2, . .. , Y;) contains the first j letters of Y. (x1, x2, . .. , xi) contains Fill in the missing values of the entries. A A 1 1 1 1 G 2 2 2 A A In the following, each entry b(i, j) E {†,\,+} represents the direction of recursion for c(i, j). Specifically,b(i, j) =K if x; = Yj; otherwise, b(i, j) =† if c(i – 1, j) > c(i, j– 1); b(i, j) =+- if c(i – 1, j) < c(i, j – 1). Fill in the missing values of the entries. b A G A C C What is the LCS of X and Y? Ulo - uloKE O o o o o o o O O o oo o GATAUExplain why it matters more that object function takes precedence over constraints in linear programming problems.1. Which of the following is/are property/properties of a dynamic programming problem? a) Optimal substructure b) Overlapping subproblems c) Greedy approach d) Both optimal substructure and overlapping subproblems
- Develop a model for generating random instances of the parallel job-scheduling-with-deadlines problem. Your goal is to generate nontrivial problems that are likely to be feasibleA) Construct the Precedence Graph (not containing any redundant or transitive edges) B) Determine if the system above is always determinate. If not, add to any necessary elements to make it determinate. show steps with answer please!This characteristic is met by a problem if it is feasible to develop an optimum solution for it by first creating optimal solutions for its subproblems. a) Subproblems that overlap; b) substructure that's optimum; c) memorization; d) greedy
- Question For each of the following, determine whether argument is valid. You may use a counterexample or equivalence transformations to justify your answer. (a) P→ q (b) (c) קר :: 79 P→r q→r ¬(pv q) :: r P→r q→r qV¬r :: 194. Describe a dynamic programming approach for a modified knapsack problem in which up to 3 copies of each of the n items can be selected2. [15 points] Draw a state diagram of a Turing machine accepting the language L = {x#ry | x € {0,1}* and y E {0,1,#}*}, i.e., L consists of all strings which have a prefix of the form x#x with x E {0, 1}*. Assume the tape alphabet is I = {0, 1, #, &, -}.
- The issue has the required property if it can be solved by solving its subproblems optimally. overlapping subproblems, optimum substructure, memory, and greedyThis characteristic is met by a problem if it is feasible to develop an optimum solution for it by first creating optimal solutions for its subproblems. a) Subproblems that overlap; b) substructure that's optimum; c) memorization; d) greedyExplain why it matters more that object function takes precedence over constraints in linear programming problems.