Targeting metabolic driving and minimization of by-products synthesis for high-yield production of D-pantothenate in Escherichia coli.
Sign Up to like & getrecommendations! Published in 2021 at "Biotechnology journal"
DOI: 10.1002/biot.202100431
Abstract: BACKGROUND D-Pantothenate (DPA) is an important functional chemical that has been widely applied in healthcare, cosmetics, animal food and feed industries. METHODS AND RESULTS In this study, a high-yield DPA-producing strain was constructed by metabolic… read more here.
Keywords: production; high yield; minimization; metabolic driving ... See more keywords
A powerful truncated Newton method for potential energy minimization
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.540080711
Abstract: With advances in computer architecture and software, Newton methods are becoming not only feasible for large‐scale nonlinear optimization problems, but also reliable, fast and efficient. Truncated Newton methods, in particular, are emerging as a versatile… read more here.
Keywords: potential energy; method; minimization; truncated newton ... See more keywords
Aggregation-based minimization of finite state automata
Sign Up to like & getrecommendations! Published in 2020 at "Acta Informatica"
DOI: 10.1007/s00236-019-00363-5
Abstract: We present a minimization algorithm for non-deterministic finite state automata that finds and merges bisimulation-equivalent states. The bisimulation relation is computed through partition aggregation, in contrast to existing algorithms that use partition refinement. The algorithm… read more here.
Keywords: state; aggregation; algorithm; state automata ... See more keywords
Approximation schemes for r-weighted Minimization Knapsack problems
Sign Up to like & getrecommendations! Published in 2019 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-3111-9
Abstract: Stimulated by salient applications arising from power systems, this paper studies a class of non-linear Knapsack problems with non-separable quadratic constrains, formulated in either binary or integer form. These problems resemble the duals of the… read more here.
Keywords: approximation schemes; knapsack problem; knapsack problems; knapsack ... See more keywords
Bellman residuals minimization using online support vector machines
Sign Up to like & getrecommendations! Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-0910-7
Abstract: In this paper we present and theoretically study an Approximate Policy Iteration (API) method called API − BRM???? using a very effective implementation of incremental Support Vector Regression (SVR) to approximate the value function able… read more here.
Keywords: minimization; api brm; support vector;
Non-differentiable energy minimization for cohesive fracture
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Fracture"
DOI: 10.1007/s10704-016-0167-x
Abstract: An energy minimization approach to initially rigid cohesive fracture is proposed, whose key feature is a term for the energy stored in the interfaces that is nondifferentiable at the origin. A consequence of this formulation… read more here.
Keywords: energy; energy minimization; minimization; cohesive fracture ... See more keywords
A variational minimization formulation for hydraulically induced fracturing in elastic-plastic solids
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Fracture"
DOI: 10.1007/s10704-021-00535-w
Abstract: A variational modeling framework for hydraulically induced fracturing of elastic-plastic solids is developed in the present work. The developed variational structure provides a global minimization problem. While fracture propagation is modeled by means of a… read more here.
Keywords: plastic; hydraulically induced; induced fracturing; formulation ... See more keywords
HTS Transformer Windings Design Using Distributive Ratios for Minimization of Short Circuit Forces
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Superconductivity and Novel Magnetism"
DOI: 10.1007/s10948-018-4925-z
Abstract: High-temperature superconducting (HTS) transformers have a promising feature in reduction of total weight, total size, and the losses of large-scale distribution transformers. However, the lower leakage reactance of HTS transformers results in a higher short-circuit… read more here.
Keywords: short circuit; minimization; circuit; distributive ratios ... See more keywords
On the Structure of the Weakly Efficient Set for Quasiconvex Vector Minimization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-019-01608-6
Abstract: We investigate conditions under which the weakly efficient set for minimization of m objective functions on a closed and convex $$X\subset \mathbb R^d$$ X ⊂ R d ( $$m>d$$ m > d ) is fully… read more here.
Keywords: efficient set; set quasiconvex; weakly efficient; minimization ... See more keywords
Proximal-type algorithms for split minimization problem in P-uniformly convex metric spaces
Sign Up to like & getrecommendations! Published in 2018 at "Numerical Algorithms"
DOI: 10.1007/s11075-018-0633-9
Abstract: In this paper, we study strong convergence of some proximal-type algorithms to a solution of split minimization problem in complete p-uniformly convex metric spaces. We also analyse asymptotic behaviour of the sequence generated by Halpern-type… read more here.
Keywords: algorithms; uniformly convex; metric spaces; minimization ... See more keywords
On perturbed hybrid steepest descent method with minimization or superiorization for subdifferentiable functions
Sign Up to like & getrecommendations! Published in 2019 at "Numerical Algorithms"
DOI: 10.1007/s11075-019-00818-3
Abstract: For finding the minimum value of differentiable functions over a nonempty closed convex subset of a Hilbert space, the hybrid steepest descent method (HSDM) can be applied. In this work, we study perturbed algorithms in… read more here.
Keywords: steepest descent; subdifferentiable functions; hybrid steepest; superiorization ... See more keywords