Abstract: A method for finding a best matching string among a set of strings for a reference string includes representing, for each of the set of strings paired with the reference string, a dynamic programming problem for calculating a final alignment score as a matrix of cells, and calculating a current optimal alignment boundary threshold. The method also includes executing, for each string of the set of strings, a calculation of a prospective final alignment score of a candidate alignment of the each of the set of strings and the reference string for each cell. Based on determining, that prospective final alignment score improves the current optimal alignment boundary threshold, the method includes calculating a final alignment score for the string of the set of strings associated with the cell. Otherwise, the method includes aborting the calculation of a candidate alignment covering the string associated with the cell.

Abstract: A method for finding a best matching string among a set of strings for a reference string includes representing, for each of the set of strings paired with the reference string, a dynamic programming problem for calculating a final alignment score as a matrix of cells, and calculating a current optimal alignment boundary threshold. The method also includes executing, for each string of the set of strings, a calculation of a prospective final alignment score of a candidate alignment of the each of the set of strings and the reference string for each cell. Based on determining, that prospective final alignment score improves the current optimal alignment boundary threshold, the method includes calculating a final alignment score for the string of the set of strings associated with the cell. Otherwise, the method includes aborting the calculation of a candidate alignment covering the string associated with the cell.

Abstract: A method for finding a best matching string among a set of strings for a reference string includes representing, for each of the set of strings paired with the reference string, a dynamic programming problem for calculating a final alignment score as a matrix of cells, and calculating a current optimal alignment boundary threshold. The method also includes executing, for each string of the set of strings, a calculation of a prospective final alignment score of a candidate alignment of the each of the set of strings and the reference string for each cell. Based on determining, that prospective final alignment score improves the current optimal alignment boundary threshold, the method includes calculating a final alignment score for the string of the set of strings associated with the cell. Otherwise, the method includes aborting the calculation of a candidate alignment covering the string associated with the cell.

Abstract: Embodiments relate to dynamic programming. An aspect includes representing a dynamic programming problem as a matrix of cells, each cell representing an intermediate score to be calculated. Another aspect includes providing a mapping assigning cells of the matrix to elements of a result container data structure, and storing cells of the matrix to elements of the result container data structure in accordance with the mapping. Another aspect includes calculating intermediate scores of all cells of the matrix, whereby intermediate scores of some of the cells of the matrix are stored to a respectively assigned element of the result container data structure in accordance with the mapping. Another aspect includes during the calculation of the intermediate scores, dynamically updating the assignment of cells and elements in the mapping and assembling a final result of the dynamic programming problem from the intermediate scores stored in the result container data structure.

Abstract: A method for finding a best matching string among a set of strings for a reference string includes representing, for each of the set of strings paired with the reference string, a dynamic programming problem for calculating a final alignment score as a matrix of cells, and calculating a current optimal alignment boundary threshold. The method also includes executing, for each string of the set of strings, a calculation of a prospective final alignment score of a candidate alignment of the each of the set of strings and the reference string for each cell. Based on determining, that prospective final alignment score improves the current optimal alignment boundary threshold, the method includes calculating a final alignment score for the string of the set of strings associated with the cell. Otherwise, the method includes aborting the calculation of a candidate alignment covering the string associated with the cell.