Nonlinear optimization solving with multiple Python libraries
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Updated
Apr 11, 2021 - Python
Nonlinear optimization solving with multiple Python libraries
Artificial Intelligence Course 3rd Project: Implementing CSP Backtracking, Forward Checking and MAC Algorithms in order to solve a binary puzzle
Contains my solution to selected projects in CS50AI
Samurai Sudoku solver in Python
AI that generates crosswords puzzles using Backtracking Search algorithm.
This is a UI Sudoku Game And Solver that makes use of recursion and backtracking
Artificial Intelligence Course 3rd Project: Implementing CSP Backtracking, Forward Checking and MAC Algorithms in order to solve a binary puzzle
Sudoku CSP Solver using Backtracking Search and Arc-Consistency 3
Classic CSP Algorithms to solve RLFAP
An agent that can solve Sudoku puzzles, following a backtracking search, using a combination of depth-first search and constraint propagation.
This project is a sudoku-solver implement by Constraint satisfaction problem. We add the colour option to our sudoku problem as if the number of a place is bigger than other neighbours, the colour of that place must be higher in a given colour's priority. We use the Constraint satisfaction problem(CSP), as we said before, in additional apply deg…
A solution to a binary puzzle using CSP algorithms.
Solve Sudoku as a Constraint Satisfaction Problem
Implementation of the Smith-Waterman string alignment algorithm, finding optimal alignments between proteins.
Classic Sudoku game written in python with pygame library. It uses backtracking algorithm to solve the puzzle.
Golomb Ruler using Constraint Satisfaction Problem
This is a script that can solve any sudoku puzzle you provide it, or you can simply ask it to generate one and solve it by itself
sample programs created for work in CS664 Artificial Intelligence
This is a sudoku solver by doing backtracking search with forward checking using an MRV and degree heuristic. This was worked on in a group of myself and two other members.
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