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Propositional Logic
Propositional Logic

... A formula is in prenex form if it is of the form Q1 x1 .Q2 x2 . . . . Qn xn .ψ (possibly with n = 0) where each Qi is a quantifier (either ∀ or ∃) and ψ is a quantifier-free formula . Proposition For any formula of first-order logic, there exists an equivalent formula in prenex form. Proof. Such a p ...
Exam Template v1.0
Exam Template v1.0

Word Problems in Standard Form.
Word Problems in Standard Form.

... Sometimes there is no slope given or there appears to be 2 slopes! These two numbers are the number per x and the number per y. Each of these is multiplied to x and y, respectively. There is no beginning amount, nor are there points given. However, there may be a TOTAL involved. In this case, the eq ...
Homework Due March 1
Homework Due March 1

2 Lab 2 – October 10th, 2016
2 Lab 2 – October 10th, 2016

2/TRUTH-FUNCTIONS
2/TRUTH-FUNCTIONS

... Statements are either simple such as `Roses are Red’ or compound: `Aristotle is Greek and Russell is English.’ Statement connectives: and, or, if...then, if and only if. When written in symbols they may be called logical operators. s7. Truth Values [TV]: statement either affirms/denies. Hence either ...
First-order logic;
First-order logic;

Propositional Logic Proof
Propositional Logic Proof

... You should have completed the open-book, untimed quiz on Vista that was due before this class. ...
A Brief Introduction to Propositional Logic
A Brief Introduction to Propositional Logic

PDF
PDF

Full version - Villanova Computer Science
Full version - Villanova Computer Science

... There are various deductive systems for classical propositional logic. They can be divided into two major classes: Hilbert-style and Gentzen-style. Hilbert-style systems are axiom-based while Gentzen-style systems are rule-based. Gentzen-style systems have a number of advantages, including existence ...
.pdf
.pdf

Problem Set 3
Problem Set 3

Boolean Algebra_last_2
Boolean Algebra_last_2

Solutions - Math Berkeley
Solutions - Math Berkeley

Math 2283 - Introduction to Logic
Math 2283 - Introduction to Logic

Chapter 9
Chapter 9

Tautologies Arguments Logical Implication
Tautologies Arguments Logical Implication

Some basic electronics and truth tables
Some basic electronics and truth tables

Disjunctive Normal Form
Disjunctive Normal Form

... A direct proof of a conditional statement p  q is constructed when the first step is the assumption that p is true, subsequent steps using rules of inference, with the final step showing q must also be true. Indirect proof – if we prove the theorem without starting with the premises and end with th ...
class notes
class notes

Exam-Computational_Logic-Subjects_2016
Exam-Computational_Logic-Subjects_2016

Solution
Solution

... Problem 2: Consider Boolean function of three variables, F(a, b, c) = Σ m (3, 4, 5, 6, 7): (a) Construct a truth table for this function. (b) Show the function on Karnaugh map. (c) Minimize the function using Karnaugh map. (d) Sketch a logic gate circuit that will implement the minimized function. H ...
the problem book
the problem book

Exam 1 - Pages
Exam 1 - Pages

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Boolean satisfiability problem

In computer science, the Boolean Satisfiability Problem (sometimes called Propositional Satisfiability Problem and abbreviated as SATISFIABILITY or SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula. In other words, it asks whether the variables of a given Boolean formula can be consistently replaced by the values TRUE or FALSE in such a way that the formula evaluates to TRUE. If this is the case, the formula is called satisfiable. On the other hand, if no such assignment exists, the function expressed by the formula is identically FALSE for all possible variable assignments and the formula is unsatisfiable. For example, the formula ""a AND NOT b"" is satisfiable because one can find the values a = TRUE and b = FALSE, which make (a AND NOT b) = TRUE. In contrast, ""a AND NOT a"" is unsatisfiable.SAT is one of the first problems that was proven to be NP-complete. This means that all problems in the complexity class NP, which includes a wide range of natural decision and optimization problems, are at most as difficult to solve as SAT. There is no known algorithm that efficiently solves SAT, and it is generally believed that no such algorithm exists; yet this belief has not been proven mathematically, and resolving the question whether SAT has an efficient algorithm is equivalent to the P versus NP problem, which is the most famous open problem in the theory of computing.Despite the fact that no algorithms are known that solve SAT efficiently, correctly, and for all possible input instances, many instances of SAT that occur in practice, such as in artificial intelligence, circuit design and automatic theorem proving, can actually be solved rather efficiently using heuristical SAT-solvers. Such algorithms are not believed to be efficient on all SAT instances, but experimentally these algorithms tend to work well for many practical applications.
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