C Programming-Backtracking Set 2 – Backtracking – A Maze is given as N*N binary matrix of blocks where source block is the upper left most block..maze[0][0] and destination block is lower rightmost block i.e., maze[N-1][N-1].
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Backtracking Set 5 (m Coloring Problem)-Backtracking-Given an undirected graph and a number m, determine if the graph can be colored with at most m colors .
Backtracking Set 4 (Subset Sum) – Backtracking – Subset sum problem is to find subset of elements that are selected from a given set whose sum adds up.
C Programming-Backtracking Set 3 (N Queen Problem) – Backtracking – We have discussed Knight’s tour and Rat in a Maze problems in Set 1 and Set 2 respectively. Let us discuss N Queen as another example problem that can be solved using Backtracking.
JAVA Programming-Backtracking Set 3 (N Queen Problem) – JAVA – discuss N Queen as another example problem that can be solved using Backtracking.
JAVA Programming-Backtracking Set 2 (Rat in a Maze) – Backtracking – A Maze is given as N*N binary matrix of blocks where source block is the upper left most block i.e., maze[0][0] and destination block is lower rightmost block i.e., maze[N-1][N-1].
C++ Programming-Backtracking Set 2 (Rat in a Maze) – Backtracking – A Maze is given as N*N binary matrix of blocks where source block is the upper left most block i.e., maze[0][0] and destination block is lower rightmost block i.e., maze[N-1][N-1].
C Programming-Backtracking Set 1 (The Knight’s tour problem) – Backtracking – Backtracking is an algorithmic paradigm that tries different solutions until finds a solution that “works”. Problems which are typically solved using backtracking technique have following property in common.
JAVA Programming-Backtracking Set 1 (The Knight’s tour problem) – Backtracking – Backtracking is an algorithmic paradigm that tries different solutions until finds a solution that “works”. Problems which are typically solved using backtracking technique have following property in common.