Discrete Mathematics - Vol 1 | 3. SAT Problem by Abraham | Learn Smarter
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3. SAT Problem

The chapter explores the Satisfiability Problem (SAT), defining satisfiable propositions and introducing Conjunctive Normal Form (CNF) as a crucial concept. It discusses methods to determine if a compound proposition is satisfiable and presents a practical application in solving Sudoku puzzles using propositional logic. The chapter emphasizes the complexity of SAT and highlights its relevance in computer science and AI.

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Sections

  • 3

    Sat Problem

    The SAT problem, also known as the satisfiability problem, determines if a compounded proposition can be true for any assignment of its variables.

  • 3.1

    Introduction To Satisfiability Problem

    The SAT problem explores whether a given compound proposition can be satisfied by any assignment of truth values to its variables.

  • 3.2

    Definition Of Satisfiability

    The satisfiability problem (SAT) involves determining whether a compound proposition is true for any truth assignment of its variables.

  • 3.3

    Unsatisfiable Proposition

    This section introduces the SAT problem, defining satisfiability and unsatisfiability of compound propositions, and discusses their significance in computer science.

  • 3.4

    Practical Implications Of The Sat Problem

    This section introduces the SAT problem, explaining how satisfiability is defined and its significance in computer science, particularly through practical applications like Sudoku.

  • 3.5

    Conjunctive Normal Form (Cnf) Introduction

    This section introduces the satisfiability problem and the concept of Conjunctive Normal Form (CNF), explaining their importance in logic and computation.

  • 3.6

    Definition Of Cnf

    This section introduces the concept of the satisfiability problem, focusing on the conjunctive normal form (CNF) and its significance in determining the satisfiability of compound propositions.

  • 3.7

    Clause And Literal Definitions

    This section introduces the satisfiability problem (SAT) and the concepts of conjunctive normal forms (CNF), clauses, and literals.

  • 3.8

    Verification Of Cnf

    This section introduces the satisfiability problem (SAT problem) and explains the concept of conjunctive normal form (CNF).

  • 3.9

    Conversion To Cnf

    This section discusses the satisfiability problem (SAT) and the importance of converting expressions to conjunctive normal form (CNF).

  • 3.2

    Application Of Sat Problem

    The section covers the concept of the Satisfiability Problem (SAT), detailing its significance and introducing Conjunctive Normal Form (CNF) as a means to analyze logical propositions.

  • 3.2.1

    Sudoku Puzzle Solver

    This section introduces the SAT problem, explaining its significance and applications, primarily in solving Sudoku puzzles.

  • 3.2.2

    Encoding Sudoku With Propositional Variables

    This section covers the SAT problem's introduction and the encoding of Sudoku into propositional variables.

  • 3.2.3

    Row, Column, And Block Constraints

    This section introduces the Satisfiability (SAT) problem, its significance in computer science, and the concept of Conjunctive Normal Form (CNF).

  • 3.2.4

    Unique Value Assignment Constraint

    The SAT problem revolves around determining the satisfiability of propositional logic statements, highlighting its implications in computational fields.

  • 3.2.5

    Finding Truth Assignments

    This section discusses the SAT problem and its significance in determining the satisfiability of propositional variables, along with the introduction of Conjunctive Normal Form (CNF).

  • 3.2.6

    Conclusion

    The SAT problem's concept is explored, emphasizing its significance and applications in computer science, such as in Sudoku puzzle solving.

References

ch3.pdf

Class Notes

Memorization

What we have learnt

  • A compound proposition is s...
  • Conjunctive Normal Form (CN...
  • The SAT problem can be appl...

Final Test

Revision Tests