DPLL algorithm
Algorithm for solving the CNF-SAT problem
In logic and computer science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the satisfiability of propositional logic formulae in conjunctive normal form, i.e. for solving the CNF-SAT problem. It was introduced in 1961 by Martin Davis, George Logemann and Donald W. Loveland and is a refinement of the earlier Davis–Putnam algorithm, which is a resolution-based procedure developed by Davis and Hilary Putnam in 1960.
Nº Q2030088 ★★
Uncommon · History
DPLL algorithm
Algorithm for solving the CNF-SAT problem
In logic and computer science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the satisfiability of propositional logic formulae in conjunctive normal form, i.e. for solving the CNF-SAT problem. It was introduced in 1961 by Martin Davis, George Logemann and Donald W. Loveland and is a refinement of the earlier Davis–Putnam algorithm, which is a resolution-based procedure developed by Davis and Hilary Putnam in 1960.
From Wikipedia
In logic and computer science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the satisfiability of propositional logic formulae in conjunctive normal form, i.e. for solving the CNF-SAT problem. It was introduced in 1961 by Martin Davis, George Logemann and Donald W. Loveland and is a refinement of the earlier Davis–Putnam algorithm, which is a resolution-based procedure developed by Davis and Hilary Putnam in 1960. Especially in older publications, the Davis–Logemann–Loveland algorithm is often referred to as the "Davis–Putnam method" or the "DP algorithm". Other common names that maintain the distinction are DLL and DPLL.
Text: Wikipédia, CC BY-SA 4.0. · Image: No machine-readable author provided. Tizio assumed (based on... (Public domain) ·
Related cards
-
Word ladder
Word game
Nº Q965866 ★
Not listed
-
Alan Weinstein
American mathematician
Nº Q381300 ★
Not listed
-
N
No free lunch theorem
The theorem that, if a machine-learning algorithm does well on some problems, then it pays for that on all other problems
Nº Q7045226 ★★
Not listed
-
H
Horner's method
Algorithm for polynomial evaluation
Nº Q944658 ★★
Not listed
-
Smith–Waterman algorithm
Algorithm performs local sequence alignment
Nº Q1683352 ★
Not listed
-
Z notation
Formal specification language used for describing and modelling computing systems, standardized in ISO 13568
Nº Q1430781 ★
Not listed
-
Runge–Kutta methods
Family of implicit and explicit iterative methods
Nº Q725944 ★★★
Not listed
-
P
Planning Domain Definition Language
Planning programming language
Nº Q7201366 ★
Not listed
-
B
Bareiss algorithm
Algorithm for calculating determinants
Nº Q4860404 ★
Not listed
-
P
Predicative programming
Method of computer program specification
Nº Q7239635 ★
Not listed
-
R
RRDtool
OpenSource industry standard (time series data: logging and graphing system)
Nº Q1049812 ★
Not listed
-
Law of the iterated logarithm
Theorem
Nº Q198740 ★
Not listed
-
Bernstein–Vazirani algorithm
Quantum algorithm
Nº Q65053013 ★
Not listed
-
Karatsuba algorithm
Algorithm for integer multiplication
Nº Q629940 ★★★
Not listed
-
N
Nagle's algorithm
Algorithm
Nº Q668945 ★
Not listed
-
P
Pollard's kangaroo algorithm
Algorithm for computing the discrete logarithm
Nº Q1911970 ★
Not listed
-
Shellsort
In-place comparison sorting algorithm invented by D. Shell
Nº Q848955 ★★
Not listed
-
Dynamic programming
Problem optimization method that simplifies a complicated problem by decomposing it into simpler subproblems recursively
Nº Q380679 ★★★
Not listed