In this note, we present a new adaptive algorithm for generalized group testing, which is asymptotically optimal if $d=o(\log_2|E|)$, $E$ is a set of potentially contaminated sets, $d$ is a maximal size of elements of $E$. Also, we design a 3-stage algorithm, which is asymptotically optimal for $d=2$
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
We consider the problem of non-adaptive noiseless group testing of N items of which K are defective....
We consider non-adaptive threshold group testing for identification of up to d defective items in a ...
Group testing is a well known search problem that consists in detecting the defective members of a s...
Abstract—Non-adaptive group testing involves grouping ar-bitrary subsets of n items into different p...
Group testing aims at identifying the defective elements of a set by testing selected subsets called...
Group testing is a well known search problem that consists in detecting the defective members of a s...
We present computationally efficient and provably correct algorithms with near-optimal sample-comple...
For the well-established group testing problem, i.e., finding defective elements in a set by testing...
Abstract. We study practically efficient methods for performing combinatorial group testing. We pres...
The classical group testing problem asks to determine at most d defective elements in a set of n ele...
The classical and well-studied group testing problem is to find d defectives in a set of n elements ...
We study practically efficient methods for performing combinatorial group testing. We present effici...
Group-testing refers to the problem of identifying (with high probability) a (small) subset of D def...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
We consider the problem of non-adaptive noiseless group testing of N items of which K are defective....
We consider non-adaptive threshold group testing for identification of up to d defective items in a ...
Group testing is a well known search problem that consists in detecting the defective members of a s...
Abstract—Non-adaptive group testing involves grouping ar-bitrary subsets of n items into different p...
Group testing aims at identifying the defective elements of a set by testing selected subsets called...
Group testing is a well known search problem that consists in detecting the defective members of a s...
We present computationally efficient and provably correct algorithms with near-optimal sample-comple...
For the well-established group testing problem, i.e., finding defective elements in a set by testing...
Abstract. We study practically efficient methods for performing combinatorial group testing. We pres...
The classical group testing problem asks to determine at most d defective elements in a set of n ele...
The classical and well-studied group testing problem is to find d defectives in a set of n elements ...
We study practically efficient methods for performing combinatorial group testing. We present effici...
Group-testing refers to the problem of identifying (with high probability) a (small) subset of D def...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
We consider the problem of non-adaptive noiseless group testing of N items of which K are defective....
We consider non-adaptive threshold group testing for identification of up to d defective items in a ...