Results 71 to 80 of about 2,964,605 (375)
Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization [PDF]
, 2013 In this paper, we present a new stochastic algorithm, namely the stochastic block mirror descent (SBMD) method for solving large-scale nonsmooth and stochastic optimization problems. The basic idea of this algorithm is to incorporate the block-coordinate
Dang, Cong D., Lan, Guanghui
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A Full Multigrid Method for Nonlinear Eigenvalue Problems
, 2015 This paper is to introduce a type of full multigrid method for the nonlinear eigenvalue problem. The main idea is to transform the solution of nonlinear eigenvalue problem into a series of solutions of the corresponding linear boundary value problems on ...
Jia, Shanghui +3 more
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Modern Methods for Solving Nonconvex Optimal Control Problems
Известия Иркутского государственного университета: Серия "Математика", 2014 The paper presents a few remarks on the evolution of Irkutsk’s school of O. V. Vasiliev on optimal control methods based on Pontryagin principle. Besides, one reviews some features of Pontryagin principle, in particular, its sufficiency and constructive ...
A.S. Strekalovsky
doaj
Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems [PDF]
مجلة التربية والعلم, 2014 In this paper, we have discussed and investigated two nonlinear extended PR-CG method which use function and gradient values. The two new methods involve the standard CG-methods and have the sufficient descent and globally convergence properties under ...
Abbas AL-Bayati, Rana AL-Kawaz
doaj +1 more source
Problem-solving methods: Making assumptions for efficiency reasons
, 1996 In this paper we present the following view on problem-solving methods for knowledge-based systems: Problem-solving methods describe an efficient reasoning strategy to achieve a goal by introducing assumptions about the available domain knowledge and the required functionality.
Fensel, Dieter, Straatmann, Remco
openaire +4 more sources
FEBS Open Bio, EarlyView.Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Effective method for solving electromagnetic problems
Electronics Letters, 1994 The authors discuss a neural network model for solving electromagnetic problems which can be represented as combinational optimisation problems, with cost functions as the network energy. Solutions correspond to the minimum of energy. An example is given to illustrate the method.
Q. Zhou, A.K.Y. Lai
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FEBS Open Bio, EarlyView.Drugs previously repurposed to target blood cancers reduced neuroblastoma and glioblastoma cell growth and viability. However, their levels of anticancer activity were different and their clinical application may be problematic due to side effects at effective doses.
Abhishek Kharawatkar +4 more
wiley +1 more source
EASe : integrating search with learned episodes [PDF]
, 1992 Weak methods are insufficient to solve complex problems. Constrained weak methods, like hill-climbing, search too little of the problem space. Unconstrained weak methods, like breadth-first search, are intractable. Fortunately, through the integration of
Kibler, Dennis, Ruby, David
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