Traditional algorithms are suitable when steps of algorithm are to be executed in a sequence and at a single location. These algorithms have limitations, when used in multi-agent environment, where different agents of single application run on different nodes, thus emphasizing the need for distributed algorithms. Agents in multi-agent systems perform task independently and share the result with...

This article indicates the various financial problems associated with the college library budget. It studies the meaning of budget and examined the various techniques of budgeting that may be use in the libraries for fund acquisition and allocation. It draws the necessary steps to be taken for library budget preparation and finally concluded with the role of librarian for better utilization of ...

The work presented in this thesis revolves around erasure correction coding, as applied to distributed data storage and real-time streaming communications. First, we examine the problem of allocating a given storage budget over a set of nodes for maximum reliability. The objective is to find an allocation of the budget that maximizes the probability of successful recovery by a data collector ac...

The problem of optimizing fund allocation in the public sector through performance based budgeting is a complex process. This paper considered only a very small part of this process, namely the final allocation of public funds through goal programming technique. While analyzing the last nine years of budget data in an R&D organization, it is inferred that there is wide gap between fund utilizat...

While it is relatively easy to start an online advertising campaign, proper allocation of the marketing budget is far from trivial. A major challenge faced by the marketers attempting to optimize their campaigns is in the sheer number of variables involved, the many individual decisions they make in fixing or changing these variables, and the nontrivial short and long-term interplay among these...

This article presents a subcarrier allocation scheme based on a Blotto game (SABG) for orthogonal frequencydivision multiple access (OFDMA) networks where correlation between adjacent subcarriers is considered. In the proposed game, users simultaneously compete for subcarriers using a limited budget. In order to win as many good subcarriers as possible in this game, users are required to wisely...

The optimal allocation of resources for maximizing influence, spread of information or coverage, has gained attention in the past years, in particular in machine learning and data mining. But in applications, the parameters of the problem are rarely known exactly, and using wrong parameters can lead to undesirable outcomes. We hence revisit a continuous version of the Budget Allocation or Bipar...

The sample average approximation approach to solving stochastic programs induces a sampling error, caused by replacing an expectation by a sample average, as well as an optimization error due to approximating the solution of the resulting sample average problem. We obtain estimators of an optimal solution and the optimal value of the original stochastic program after executing a finite number o...

In this article we study the allocation of a budget to promote an opinion in a group of agents. We assume that their opinion dynamics are based on the wellknown voter model. We are interested in finding the most efficient use of a budget over time in order to manipulate a social network. We address the problem using the theory of discounted Markov decision processes. Our contributions can be su...