<p>HIVE-hexagon implements a floating diagonal approach where the diagonal of the computation is maintained along the two sides of the current highest scoring path of the matrix. (<b>a</b>) We assume the optimal alignment will be along the diagonal. (<b>b</b>) Multiple insertions or deletions can result in the optimal path traversing outside the defined diagonal belt. (<b>c</b>) By defining a constant width to the diagonal and pre-computing cell scores line by line, the limits of the remaining diagonal matrix can float along with the likely optimal scoring path. (<b>d</b>) Furthermore, pre-computation of cells in the diagonal line by line allows the exclusion of regions which cannot possibly contain the highest scoring path. (<b>e</b>) The ...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
Path planning on the Warp computer: using a linear systolic array in dynamic programmin
Abstract. The dynamic algorithm to compute a Gröbner basis is nearly twenty years old, yet it seems ...
Combinatorial data analysis, matrix permutation, dynamic programming, heuristics,
AbstractIn this paper we present a dynamic programming algorithm for finding optimal elimination tre...
Several mesh-based techniques in computer graphics such as shape deformation, mesh editing, animatio...
Segments a 1D signal into optimal segments for Linear Regression. It uses Dynamic Programming appli...
In column generation schemes, particularly those proposed for set partitioning type problems, dynami...
In this paper we present a dynamic programming algorithm for finding optimal elimination trees for c...
Abstract:- Dynamic programming can be used to solve the optimization problem of optimal matrix paren...
Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes ...
<p>(<b>a</b>) Dynamic programming matrix Needleman-Wunsch or Smith-Waterman algorithms use a two dim...
The dual of Fourier-Motzkin elimination is described and illustrated by a numerical example. It is p...
This item was digitized from print originals and/or microfilm. Please contact us at repository@u.lib...
Matrix diagonalization is an important component of many aspects of computational science. There are...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
Path planning on the Warp computer: using a linear systolic array in dynamic programmin
Abstract. The dynamic algorithm to compute a Gröbner basis is nearly twenty years old, yet it seems ...
Combinatorial data analysis, matrix permutation, dynamic programming, heuristics,
AbstractIn this paper we present a dynamic programming algorithm for finding optimal elimination tre...
Several mesh-based techniques in computer graphics such as shape deformation, mesh editing, animatio...
Segments a 1D signal into optimal segments for Linear Regression. It uses Dynamic Programming appli...
In column generation schemes, particularly those proposed for set partitioning type problems, dynami...
In this paper we present a dynamic programming algorithm for finding optimal elimination trees for c...
Abstract:- Dynamic programming can be used to solve the optimization problem of optimal matrix paren...
Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes ...
<p>(<b>a</b>) Dynamic programming matrix Needleman-Wunsch or Smith-Waterman algorithms use a two dim...
The dual of Fourier-Motzkin elimination is described and illustrated by a numerical example. It is p...
This item was digitized from print originals and/or microfilm. Please contact us at repository@u.lib...
Matrix diagonalization is an important component of many aspects of computational science. There are...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
Path planning on the Warp computer: using a linear systolic array in dynamic programmin
Abstract. The dynamic algorithm to compute a Gröbner basis is nearly twenty years old, yet it seems ...