Add to ORKGBoolean matrix multiplication is the basis for most computing algorithms and is widely used in many fields. In this paper, we compare and discuss two methods to solve Boolean matrix multiplication with DNA computing. The first method utilizes double stranded DNA sequences with Restriction Enzymes meanwhile the second method utilizes single stranded DNA sequences with primers. We prove that while both methods are able to solve the Boolean matrix multiplication problem, these two methods differ in their performance and output results. We compare the advantages of the latter method in terms of easier sequence designs and more efficient analysis of results
Four specific complexity measures for DNA-based computations are considered: the number of test tube...
DNA computing has emerged as an interdiciplinary field that draws together moleculer biology, chemis...
AbstractWe show how DNA-based computers can be used to solve the satisfiability problem for boolean ...
Boolean matrix multiplication is the basis for most computing algorithms and is widely used in many ...
Boolean matrix multiplication is the basis for most computing algorithms and is widely used in many ...
Although DNA computing has emerged as a new computing paradigm with its massive parallel computing ...
One of the major constraints in DNA computation is the exponential increase in material consumption ...
The use of DNA molecules to solve hard computational problems has been demonstrated in recent studie...
We demonstrate that DNA computers can simulate Boolean circuits with a small overhead. Boolean circu...
Abstract: In this paper, we propose two procedures for multiplication and division using DNA strands...
In this paper, we consider procedures for logic and arithmetic operations with DNA molecules. We fir...
Abstract: In recent works for high performance computing, computation with DNA molecules, that is, D...
This paper proposes a method for simulating Boolean circuits based on primer extension and DNA cleav...
Communicated by Editor’s name In this paper, we consider procedures for logic and arithmetic operati...
DNA computation is to use DNA molecules for information storing and processing. The task is accompli...
Four specific complexity measures for DNA-based computations are considered: the number of test tube...
DNA computing has emerged as an interdiciplinary field that draws together moleculer biology, chemis...
AbstractWe show how DNA-based computers can be used to solve the satisfiability problem for boolean ...
Boolean matrix multiplication is the basis for most computing algorithms and is widely used in many ...
Boolean matrix multiplication is the basis for most computing algorithms and is widely used in many ...
Although DNA computing has emerged as a new computing paradigm with its massive parallel computing ...
One of the major constraints in DNA computation is the exponential increase in material consumption ...
The use of DNA molecules to solve hard computational problems has been demonstrated in recent studie...
We demonstrate that DNA computers can simulate Boolean circuits with a small overhead. Boolean circu...
Abstract: In this paper, we propose two procedures for multiplication and division using DNA strands...
In this paper, we consider procedures for logic and arithmetic operations with DNA molecules. We fir...
Abstract: In recent works for high performance computing, computation with DNA molecules, that is, D...
This paper proposes a method for simulating Boolean circuits based on primer extension and DNA cleav...
Communicated by Editor’s name In this paper, we consider procedures for logic and arithmetic operati...
DNA computation is to use DNA molecules for information storing and processing. The task is accompli...
Four specific complexity measures for DNA-based computations are considered: the number of test tube...
DNA computing has emerged as an interdiciplinary field that draws together moleculer biology, chemis...
AbstractWe show how DNA-based computers can be used to solve the satisfiability problem for boolean ...