AN OPTIMUM NUTRITIONAL DIET FOR ATHLETES BY USING LINEAR PROGRAMMING MODEL
Authors: Yadav R , SAHU M*AND WADIA S

ABSTRACT
The present work achieves the goal of providing an engineering tool to the service of non-public health, associate degree optimized diet in terms of prices and quantities of rations that must be consumed to fulfil the diet of a superior athlete, and caloric requirements in terms of the kind of physical activity. the strategy used consisted of choosing a sample of athletes United Nations agency follow a four-hour daily coaching regimen; the results embody the application of the applied mathematics Model of research, which is a mathematical matrix model of settled kind for the improvement of resources at the lowest price with the best utility. This model was accustomed produce a perfect biological process formulation that satisfies the technical necessities and therefore the minimum, maximum, or fixed nutritional necessities (restrictions = rows) for the biological process diet for athletes. These nutritional wants should be compared to or happy by a mix of a particular range of readily offered dietary ingredients or inputs (decision variables = columns), every of that has its own set of technical properties, biological process elements, and contents. Due to the numerous choices for daily formulation for the contestant, this matrix structuring of the model and its corresponding process mistreatment the questionable Simplex technique, permits the creation of a best biological process diet for athletes. As associate degree example, the formulation of the perfect diet for breakfast following that, mistreatment on-line tools that turn out correct findings, the results area unit acquired and displayed through a link with software system and an applied mathematics application used for the improvement of the diet. These results area unit then analyzed and valid before being place into practice. Keywords: Operative research models, Calories consumed, Linear programming, Optimizing diet
Publication date: 15/06/2023
    https://ijbpas.com/pdf/2023/June/MS_IJBPAS_2023_JUNE_SPCL_1066.pdf
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https://doi.org/10.31032/IJBPAS/2023/12.6.1066