• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Proof translation for CVC3
Proof translation for CVC3

Document
Document

Decomposing Specifications of Concurrent Systems
Decomposing Specifications of Concurrent Systems

Elementary Logic
Elementary Logic

... what we said above about the converse, it IS true that a statement and its contrapositive are equivalent. One way to see this is to notice that A ⇒ B is false only if A is true and B is false (see above), and the contrapositive (Not B) ⇒ (Not A) is false only if (Not B) is true and (Not A) is false ...
MATH 3200 PRACTICE PROBLEMS 1 In all of the following
MATH 3200 PRACTICE PROBLEMS 1 In all of the following

MODULE I
MODULE I

... 1) Obtain the conjunctive normal form of P (P→ Q) P (┐PQ) 2) QP┐Q) ┐P┐Q)) 3) ┐( PQ)  PQ Minterms minterm consists of conjunction in which each statement variable or its negation , not both appears only once. For two variables P and Q there are 22 minterms. These are known ...
3.1.3 Subformulas
3.1.3 Subformulas

... speaking, a subformula of a propositional formula H is a string occurring in H which itself is a propositional formula. Definition 3.8 Let F be a propositional formula. The set of subformulas of F is the smallest set S(F ) satisfying the following conditions: 1. F ∈ S(F ). 2. If ¬G ∈ S(F ) , then G ...
When is Metric Temporal Logic Expressively Complete?
When is Metric Temporal Logic Expressively Complete?

Lesson 2
Lesson 2

The Closed World Assumption
The Closed World Assumption

... We view our program as a logical theory expressing knowledge about the world. In several situations, it is convenient to assume that the program contains complete information about certain kinds of logical statements. We can then make additional inferences about the world based on the assumed comple ...
PROBLEM SET First Order Logic and Gödel
PROBLEM SET First Order Logic and Gödel

SG Questions and Answers
SG Questions and Answers

Lesson 2
Lesson 2

Supplement: Conditional statements and basic methods of proof
Supplement: Conditional statements and basic methods of proof

... First note that there is only one set of circumstances under which a conditional statement is false: The hypothesis is true and the conclusion is false. Therefore to establish that a conditional statement is false, it suffices to produce a specific counterexample; that is, a specific situation for w ...
Automated Reasoning Lecture 5: First
Automated Reasoning Lecture 5: First

... the property of being even to P i.e. P I ≡ {0, 2, 4, . . .}, and the relation of being greater than to Q, i.e. the set of pairs Q I ≡ {(1, 0), . . . , (2, 0), (2, 1), . . . , (89, 27), . . . }; ...
8.5 Applications of Systems of Linear Equations
8.5 Applications of Systems of Linear Equations

... For the 2009 Major League Baseball and National Football League seasons, based on average ticket prices, three baseball tickets and two football tickets would have cost $229.90. Two baseball tickets and one football ticket would have cost $128.27. What were the average ticket prices for the tickets ...
An Instantiation-Based Theorem Prover for First
An Instantiation-Based Theorem Prover for First

... These limitations in MILP can be addressed by switching to a more expressive language like first-order logic (FOL). FOL lets us specify a problem in terms of classes and relations, and reason about these classes and relations directly—we can do lifted reasoning. Lifted reasoning lets us work with st ...
Lecture 3
Lecture 3

chapter1p3 - WordPress.com
chapter1p3 - WordPress.com

Chapter 4, Propositional Calculus
Chapter 4, Propositional Calculus

... 2.1. Proposition (or statement) = a declarative statement (in contrast to a command, a question, or an exclamation) which is true or false, but not both. 2.1.1. Examples: “Obama is president.” is a proposition. “Obama will be re-elected.” is not a proposition. 2.1.2. “This statement is false.” is a ...
Simplex Method for Standard Maximization Problem
Simplex Method for Standard Maximization Problem

A Propositional Modal Logic for the Liar Paradox Martin Dowd
A Propositional Modal Logic for the Liar Paradox Martin Dowd

Mathematics for Computer Science/Software Engineering
Mathematics for Computer Science/Software Engineering

... statement ‘if p is true then q is true’ obviously cannot be true, and therefore must be false. On the other hand, if p is false, then the statement ‘if p is true then ...’ is an empty statement—it is saying nothing at all, and therefore cannot be false. So it must be true. If you work out the truth ...
LIFEPAC® 9th Grade Math Unit 3 Worktext
LIFEPAC® 9th Grade Math Unit 3 Worktext

CA320 - Computability & Complexity Overview
CA320 - Computability & Complexity Overview

< 1 ... 11 12 13 14 15 16 17 18 19 ... 25 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report