Results 41 to 50 of about 12,502,488 (286)
Degradation of the State of a Ball Track at the ZP 6600
Management Systems in Production Engineering, 2017 The article deals with the examination of the state of the ball track of the heavy mining machine ZP6600/Z79. It gives results of material exams which were taken on given samples and describes the progress and results of the numerical computation of the ...
Klouda Petr +4 more
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Journal of Magnesium and Alloys, 2020 Ball burnishing routine permits through a simple, fast and economical manner to obtain free chip on the manufactured parts. It generates a superior surface finish by rotating a ball tool against a workpiece.
Suleyman Cinar Cagan +2 more
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Global convergence of the Heavy-ball method for convex optimization [PDF]
European Control Conference, 2014 This paper establishes global convergence and provides global bounds of the rate of convergence for the Heavy-ball method for convex optimization. When the objective function has Lipschitz-continuous gradient, we show that the Cesáro average of the ...
E. Ghadimi +2 more
semanticscholar +1 more source
, 2018 This paper deals with a natural stochastic optimization procedure derived from the so-called Heavy-ball method differential equation, which was introduced by Polyak in the 1960s with his seminal contribution [Pol64].
Saadane, Sofiane +5 more
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Study on Remediation of Hexachlorobenzene Contaminated Soil by Mechanochemical Method [PDF]
E3S Web of Conferences, 2021 The mechanochemical method is a potential way to destroy pollutants such as heavy metals and organic compounds due to its advantages such as complete reaction, adaptation of various pollutants and low energy consumption, etc.
Xue Li, Huichao Chen, Xiao Liang
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On the Convergence Analysis of Aggregated Heavy-Ball Method
, 2022 17 pages, 2 ...
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Nonsmooth nonconvex stochastic heavy ball
, 2023 Motivated by the conspicuous use of momentum-based algorithms in deep learning, we study a nonsmooth nonconvex stochastic heavy ball method and show its convergence. Our approach builds upon semialgebraic (definable) assumptions commonly met in practical
Le, Tam
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NEO: NEuro-Inspired Optimization—A Fractional Time Series Approach
Frontiers in Physiology, 2021 Solving optimization problems is a recurrent theme across different fields, including large-scale machine learning systems and deep learning. Often in practical applications, we encounter objective functions where the Hessian is ill-conditioned, which ...
Sarthak Chatterjee +2 more
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A Scaling Transition Method from SGDM to SGD with 2ExpLR Strategy
Applied Sciences, 2022 In deep learning, the vanilla stochastic gradient descent (SGD) and SGD with heavy-ball momentum (SGDM) methods have a wide range of applications due to their simplicity and great generalization. This paper uses an exponential scaling method to realize a
Kun Zeng +3 more
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Performance Evaluation of a Variable Preload Spindle by Using Linear Actuator [PDF]
한국정밀공학회지, 2017 Bearings having a small clearance during normal operation are selected. In some cases, bearings having a negative clearance when mounted are selected, to generate internal stress which enables achieving various effects.
Dong-Hyeon Kim +3 more
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