2014
DOI: 10.1155/2014/979171
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On Some Numbers Related to Extremal Combinatorial Sum Problems

Abstract: Letn, d,andrbe three integers such that1≤r, d≤n. Chiaselotti (2002) definedγn,d,ras the minimum number of the nonnegative partial sums withdsummands of a sum∑1=1nai≥0, wherea1,…,anarenreal numbers arbitrarily chosen in such a way thatrof them are nonnegative and the remainingn-rare negative. Chiaselotti (2002) and Chiaselotti et al. (2008) determine the values ofγn,d,rfor particular infinite ranges of the integer parametersn, d,andr. In this paper we continue their approach on this problem and we prove the fol… Show more

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Cited by 3 publications
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“…It has been shown that football players' knee injuries are the most common in the sport and have an enormous effect on their physiological makeup. The most common sports injuries in football are to the knees, including athlete's tibia joint soreness, tendonitis, sacral syndrome, quadriceps tendinitis, and athlete's knee surrounding bursitis [ 12 ]. It is referred to as the “cognitive risk” of knee damage because of the discrepancy between trainers' subjective and objective assessments of the risk.…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown that football players' knee injuries are the most common in the sport and have an enormous effect on their physiological makeup. The most common sports injuries in football are to the knees, including athlete's tibia joint soreness, tendonitis, sacral syndrome, quadriceps tendinitis, and athlete's knee surrounding bursitis [ 12 ]. It is referred to as the “cognitive risk” of knee damage because of the discrepancy between trainers' subjective and objective assessments of the risk.…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning predictors, swarm intelligence algorithms, and evolutionary techniques have been evolved remarkably. They are used by the researchers to solve many problems, including NP-hard problems such as the Knapsack problem [ 11 ], scheduling of “ m ” jobs on “ n ” resources [ 12 ], travelling salesman problem [ 13 ], subset sum problem [ 14 ], and halting problem [ 15 ]. Deep and machine learning is also contributing to solving the real-world problems of prediction and classification [ 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%