a de novo long read genome assembly algorithm with linear time complexity. We tested GoldRush on Oxford Nanopore Technologies long sequencing read datasets with different base error profiles sourced from three human cell lines, rice, and tomato. Here, we show that GoldRush achieves assembly scaffold...
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. Altho...
There are several suitable and well-known Python tools for linear programming and mixed-integer linear programming. Some of them are open source, while others are proprietary. Whether you need a free or paid tool depends on the size and complexity of your problem as well as on the need for...
In contrast to its excellent practical performance the worst case time complexity of every Simplex algorithm that has been analyzed is known to grow exponen-tially with the size of the input Linear Program (LP). Since Dantzig's Simplex method moves from vertex to adjacent vertex along edges on...
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...
(n2+mn)entries, even if actually very few of them are nonzero. This has consequences for the complexity of the internal computations. In fact, a single iteration of the solution process has complexity at leastΩ(mn), since usually, all entries of the matrixAare accessed. This implies that...
International Conference on Integer Programming and Combinatorial Optimization 1670Accesses 25Citations Abstract In this paper, we study the integrality gap of theKnapsacklinear program in the Sherali-Adams and Lasserre hierarchies. First, we show that an integrality gap of 2 –εpersists up to a lin...
Entry Trajectory Optimization by Second-Order Cone Programming Convex optimization has found wide applications in recent years due to its unique theoretical advantages and the polynomial-time complexity of state-of-the-art solution algorithms for convex programming. This paper represents an attempt ... ...
We define and study a machine model (random access machine with powerful input/output instructions) and show that for this model the classes, DLINEAR and NLINEAR, of problems computable in deterministic (resp. nondeterministic) linear time are robust and
Complexity of the Gravitational Method for Linear Programming In contrast to its excellent practical performance the worst case time complexity of every Simplex algorithm that has been analyzed is known to grow expone... TL Morin,N Prabhu,Z Zhang - Foundations of Software Technology & Theoretical ...