This result improves on the best known time complexity for linear programming by about square root n. A key ingredient in obtaining the speedup is a proper combination and balancing of precomputation of certain matrices by fast matrix multiplication and low-rank incremental updating of inverses of ...
Redbean segments each read into 256 bp tiling subsequences, reducing the dynamic programming matrix to a size of 65536 ( = 256 × 256), thus speeding up the pairwise alignment process19. On the other hand, to address the high error rate of long reads, Shasta compresses all ...
The solution of a linear programming problem reduces to finding the optimum value (largest or smallest, depending on the problem) of the linear expression (called theobjective function) subject to a set of constraints expressed as inequalities: ...
The complexity of linear programming is discussed in the "integer" and "real number" models of computation. Even though the integer model is widely used in theoretical computer science, the real number model is more useful for estimating an algorithm's running time in actual computation. Although...
A universal cellular automaton in quasi-linear time and its S—m—n form ☆ Moreover, we prove that cellular automata form an acceptable programming system for parallel computation, thus providing an S-m-n theorem for cellular au... B Martin - 《Theoretical Computer Science》 被引量: 74发表...
摘要原文 The complexity of linear programming is discussed in the “integer” and “real number” models of computation. Even though the integer model is widely used in theoretical computer science, the real number model is more useful for estimating an algorithm's running time in actual computati...
Linear programming in O(n × 3d2) time 来自 Elsevier 喜欢 0 阅读量: 39 作者: KL Clarkson 摘要: Category theory as such plays no real part in this book. However it is both convenient and illuminating to be able to use the language of that theory to some extent. At the very least...
Chance constrained programming is a specific form of stochastic programming, where constraints are viewed as to be satisfied a specified proportion of the time. In addition to distributions on model parameters, there are also other causes for nonlinearity in nonlinear programming models under conditions...
The aim of the manufacturer is to maximize profitability while meeting the time constraints; this leads to the following linear programming problem. Maximize z=7x1+13x2(where z is the profit)subject to x1+3x2≤18 (stage 1 process)5x1+6x2≤54 (stage 2 process) and x1,x2≥0 To see ...
In complexity theory, however, the execution time of a program implemented in a particular programming language, running on a particular computer over a particular input is not of interest. 展开 关键词: CiteSeerX citations Linear programming and condition numbers under the real number computation ...