DOSE RESPONSE OF PLYOMETRIC TRAINING ON AGILITY IN CRICKET PLAYERS

Aims of Study: From last one decade, advancements in formats of cricket demand agility in the players so that they can play in better way without injury. The aim of this study was to determine which dose of plyometric training is effective to enhance agility in cricket players. Methodology: Randomized Controlled Trial was registered in US clinical Trial registry (NCT04350385). 40 cricket players were recruited in study, out of which n=20 players were placed in experimental group and n=20 players were in control group. Assessments were taken as baseline and after third week and on sixth week through Illinois Agility Run test, T test and Vertical jump test. Data analysis was done through SPSS version 23. Independent t test was used for between group analysis and paired t test for within group. Results: Group comparison through T-agility and Illinois test shows significant effect in experimental group (p>0.009). Post intervention Mean±SD of vertical jump test in experimental group was 31.90±2.55 with significant effect (p=0.001). Limitation and Future Implications: This study can be done on both genders. Players can improve their performance by working on plyometric training and agility. Originality: This was original work and never published before. Conclusion: It is concluded from this study that plyometric training is effective in improving agility of the cricket players. Players can improve their performance by working on plyometric training and agility.

Self-Adaptive Methods for General Variational Inequalities

It is known that the general variational inequalities are equivalent to the fixed point problem and the Wiener-Hopf equations. We use this equivalent formulation to develop some new self-adaptive methods for solving the general variational inequalities. It is shown that the convergence of these new self-adaptive methods requires only the pseudomonotonicity, which is weaker condition than monotonicity. Relationship of these new methods with previous known methods is considered. Several examples are given to illustrate the efficiency and implementation of these methods. It is shown that the new self-adaptive methods perform better than the previous ones. A new class of variational inequalities is introduced and studied which is called the extended general mixed variational inequality. We establish the equivalence between the extended general mixed variational inequalities and the fixed point problems. This alternative equivalent formulation is used to suggest and analyze some new iterative methods for solving the extended general mixed variational inequalities. The convergence analysis of these methods is considered under suitable mild conditions. A new class of resolvent equation is introduced. It is shown that the extended general mixed variational inequalities are equivalent to the resolvent equation. This equivalence is used to suggest some iterative methods for solving the extended general mixed variational inequalities. The convergence of these iterative methods is discussed. Since the extended general mixed variational inequalities include extended general variational inequalities and related optimization as special cases, results obtained in this thesis continue to hold for these problems.