Results 101 to 110 of about 2,432,658 (317)

Optimizing Optimizers: Regret-optimal gradient descent algorithms

open access: yesCoRR, 2020
Proceedings of Thirty Fourth Conference on Learning ...
Philippe Casgrain, Anastasis Kratsios
openaire   +3 more sources

Hepatitis C virus infection and Parkinson’s disease: insights from a joint sex-stratified BioOptimatics meta-analysis

open access: yesScientific Reports
Hepatitis C virus (HCV) infection poses a significant public health challenge and often leads to long-term health complications and even death. Parkinson’s disease (PD) is a progressive neurodegenerative disorder with a proposed viral etiology.
Isis Narváez-Bandera   +6 more
doaj   +1 more source

Normalization for FDS of Transformer Insulation Considering the Synergistic Effect Generated by Temperature and Moisture

open access: yesIEEE Access, 2020
Frequency domain spectroscopy (FDS) technique is widely applied in the condition assessment of the oil-paper system in power transformers. However, the synergistic effect generated by moisture and temperature on the FDS data cannot be analyzed by the ...
Xianhao Fan   +5 more
doaj   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

OSA90/hope™ User’s Manual Version 4.0 -- UNIX [PDF]

open access: yes, 1997
OSA90/hope is a general CAD software system offering simulation, modeling, statistical analysis, nominal and yield optimization, and data visualization for linear and nonlinear analog circuits. Its open architecture allows you to create fully optimizable
Bandler, John W.   +3 more
core  

JayaX: Jaya algorithm with xor operator for binary optimization [PDF]

open access: yes, 2019
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat   +2 more
core   +1 more source

When is Assortment Optimization Optimal?

open access: yesProceedings of the 23rd ACM Conference on Economics and Computation, 2022
Assortment optimization concerns the problem of selling items with fixed prices to a buyer who will purchase at most one. Typically, retailers select a subset of items, corresponding to an “assortment” of brands to carry, and make each selected item available for purchase at its brand-recommended price.
openaire   +2 more sources

Equating κ Maximum Degrees in Graphs without Short Cycles

open access: yesDiscussiones Mathematicae Graph Theory, 2020
For an integer k at least 2, and a graph G, let fk(G) be the minimum cardinality of a set X of vertices of G such that G − X has either k vertices of maximum degree or order less than k.
Fürst Maximilian   +4 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Optimal Algorithms for Distributed Optimization

open access: yesCoRR, 2017
In this paper, we study the optimal convergence rate for distributed convex optimization problems in networks. We model the communication restrictions imposed by the network as a set of affine constraints and provide optimal complexity bounds for four different setups, namely: the function $F(\xb) \triangleq \sum_{i=1}^{m}f_i(\xb)$ is strongly convex ...
César A. Uribe   +3 more
openaire   +2 more sources

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