nonlinear planning
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2021 ◽  
Vol 7 ◽  
pp. 7060-7071
Author(s):  
Siyi Wang ◽  
Shen Wang ◽  
Jing Wu ◽  
Baoliu Zhang ◽  
Lianhong Lv

Author(s):  
Mariia Roztorhui ◽  
Oleksandr Gangur ◽  
Volodymyr Olіjarnik ◽  
Mykola Gavrilenko

The analysis of scientific and methodical literature confirms the fragmentary consideration of a problem of planning of loading of athletes in classic powerlifting that is connected with identification of preparation of athletes in equipped and classic divisions. The results of athletes in classic powerlifting are identical to the results of some weight categories in the equipment division. Despite the rapid dynamics of results, the scientific justification for building the training of athletes in classic powerlifting is based on the achievements of scientists in the field of weightlifting or equipment powerlifting. The purpose is to identify the features of load planning in the training of highly qualified powerlifters in the competitive period of the macrocycle. To solve this goal, we used the following research methods: analogy, analysis, synthesis, abstraction, induction, extrapolation, generalization of practical experience, analysis of documentary materials, methods of mathematical statistics. The study revealed the following patterns in load planning in the training of highly qualified powerlifters in the competitive period of the macrocycle: inverse dependence in planning the volume and intensity of the load in training, which is a gradual increase in intensity against the background of the load as you approach the main competitions; nonlinear planning of loading in microcycles in separate groups of exercises on the basis of application of big indicators of intensity of loading in one group of exercises and average and small intensities in two other groups; reducing the intensity of the load in the groups of exercises as you approach the main competitions in accordance with the number of muscle groups involved during the performance of these exercises.


2019 ◽  
Vol 8 (2) ◽  
pp. 3576-3581

In the report, the optimal design problem of flat steel frame structure in the deformed state is considered, considering the softness of “the beam-column connection pinned” with “the moments-rotation angle relationship of the connection” is nonlinear, linearized by three straight lines, the material of the structure is elastic – plastic material in ideal state and considering the P-Delta effect. Establish and solve the problem of flat steel frame structure in the form of nonlinear planning and solve the problem thanks to MATLAB 6.0 programming language. Create a specialized program to optimize the steel frame structure, the results illustrate the effect of bonding softness and P-Delta effect on the weight of steel frame structure.


2017 ◽  
Vol 55 (4) ◽  
pp. 419
Author(s):  
Vu Dinh Giap ◽  
Do Huu Chi ◽  
Pham Hong Hai ◽  
Tang Thi Chinh ◽  
Do Huu Nghi

In this study, the unpretreated sugar cane bagasse was milled to a particle size of 0.5 – 1 mm and be used as material for bioconversion into fermentable sugars by using an enzyme cocktail acted synergistically. Experimental planning was used to optimize the enzyme conversion through assessment and analysis of individual parameter. As the result, the optimal condition for enzymatic conversion of sugar cane bagasse into reducing sugar product are at pH = 5, 400C, and 48 h incubation in rate of enzyme (Cell/Xyl, AltFAE, XpoAE) and substrate (bagasse meal) is 3.1. From the above application, the mathematical model is found to describe equation of the bioconversion of bagasse into reducing sugars: = 206.946 + 29.954x1 + 5.501x2 + 7.323x3 + 2.288x2x3 – 7.011; and using flexible algorithm of nonlinear planning to identify optimal conditions of enzyme mixture of conversion into reducing sugars that the reaction reached max = 251.86 mg per gram bagasse with x1 = 1.215, x2 = 1.215, x3 = 1.215 or Cell/Xyl = 1 ml (100U), AltFAE = 0.5 ml (7.56U), XpoAE = 0.4 ml (10.8U) on the test range. Experimental verification has the same result in constant conditons and reached total reducing sugars of 260.2 mg per gram substrate.


Crisis ◽  
2014 ◽  
Vol 35 (3) ◽  
pp. 186-192 ◽  
Author(s):  
Michael D. Anestis ◽  
Stephanie M. Pennings ◽  
Tabatha J. Williams

Background: Prior research has reported that a substantial portion of suicidal behavior occurs impulsively. These studies, however, have been unable to assess for episodic planning. Aims: To provide preliminary support for the plausibility and utility of assessing episodic, nonlinear planning in suicidal behavior. Method: Fifty undergraduates with a prior history of suicidal behavior responded to a series of questions assessing level of attempt, method, and level of planning during their most recent self-reported suicide attempt. Results: Level of intent was positively associated with planning, and the modal individual whose most recent attempt involved clear intent to die endorsed planning for at least 1 year. Conclusion: These preliminary data support the plausibility and potential utility of assessing episodic planning and indicate that suicide attempts involving a clear intent to die typically require extensive levels of planning and rarely (if ever) emerge without forethought.


2013 ◽  
Vol 365-366 ◽  
pp. 553-556
Author(s):  
Peng Tang ◽  
Hong Bin Yu

This paper addresses the problems of EMAS (an engineer material to arresting aircraft on the ground) production operation that the intensity of each product was uneven and cellular concrete was not completely crumple.In order to solve the problem the development of a nonlinear planning model for EMAS production was presented. The model is based on the company it could be helpful in guiding production. The second part of the work were optimization the model and get theoretical optimal value rely on both continuous and discrete time representations.


AI Magazine ◽  
2011 ◽  
Vol 32 (1) ◽  
pp. 101 ◽  
Author(s):  
Daniel S. Weld

David McAllester and David Rosenblitt's paper Systematic Nonlinear Planning (published in the Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) won the AAAI-10 classic paper award. This commentary by Daniel S. Weld describes the two major impacts the paper had on the field of automated planning.


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