This paper shows that finding the row minima (maxima) in an $n \times n$ totally monotone matrix in the worst case requires any algorithm to make $3n-5$ comparisons or $4n -5$ matrix accesses. Where the, so called, SMAWK algorithm of Aggarwal {\em et al\/.} finds the row minima in no more than $5n -2 \lg n - 6$ comparisons
We shall give simpler proofs of some lower bounds on monotone computations. We describe a simple con...
Knuth and Moore presented a theoretical lower bound on the number of leaves that any fixed-depth min...
This paper is concerned with the problem of recovering an unknown matrix from a small fraction of it...
We give a parallel algorithm for computing all row minima in a totally monotone $n\times n$ matrix w...
A matrix A of size m \Theta n containing items from a totally ordered universe is termed monotone if...
We give a parallel algorithm for the problem of computing the row minima of a totally monotone two-d...
summary:Using counterexample it has been shown that an algorithm which is minimax optimal and over a...
This paper's main result is an O(({radical}{bar m}lgm)(n lg n) + mlg n)-time algorithm for computing...
An m×n matrix A=(a<SUB>i, j</SUB>), 1≤i≤m and 1≤j≤n, is called a totally monotone matrix if for all ...
We consider the problem of reconstructing a low-rank matrix from a subset of its entries and analyze...
There exist several general techniques in the literature for speeding up naive implementations of dy...
International audienceAn increasing number of applications is concerned with recovering a sparse mat...
There exist several general techniques in the literature for speeding up naive implementations of dy...
Knuth and Moore presented a theoretical lower bound on the number of leaves that any fixed-depth min...
There exist several general techniques in the literature for speeding up naive implementations of dy...
We shall give simpler proofs of some lower bounds on monotone computations. We describe a simple con...
Knuth and Moore presented a theoretical lower bound on the number of leaves that any fixed-depth min...
This paper is concerned with the problem of recovering an unknown matrix from a small fraction of it...
We give a parallel algorithm for computing all row minima in a totally monotone $n\times n$ matrix w...
A matrix A of size m \Theta n containing items from a totally ordered universe is termed monotone if...
We give a parallel algorithm for the problem of computing the row minima of a totally monotone two-d...
summary:Using counterexample it has been shown that an algorithm which is minimax optimal and over a...
This paper's main result is an O(({radical}{bar m}lgm)(n lg n) + mlg n)-time algorithm for computing...
An m×n matrix A=(a<SUB>i, j</SUB>), 1≤i≤m and 1≤j≤n, is called a totally monotone matrix if for all ...
We consider the problem of reconstructing a low-rank matrix from a subset of its entries and analyze...
There exist several general techniques in the literature for speeding up naive implementations of dy...
International audienceAn increasing number of applications is concerned with recovering a sparse mat...
There exist several general techniques in the literature for speeding up naive implementations of dy...
Knuth and Moore presented a theoretical lower bound on the number of leaves that any fixed-depth min...
There exist several general techniques in the literature for speeding up naive implementations of dy...
We shall give simpler proofs of some lower bounds on monotone computations. We describe a simple con...
Knuth and Moore presented a theoretical lower bound on the number of leaves that any fixed-depth min...
This paper is concerned with the problem of recovering an unknown matrix from a small fraction of it...