We consider a multi-agent framework for distributed optimization where each agent has access to local smooth strongly convex function, and the collective goal is achieve consensus on parameters that minimize sum of agents' functions. propose an algorithm wherein operates asynchronously independently other agents. When functions are strongly-convex with Lipschitz-continuous gradients, we show it...

Many problems can be solved by iteration multiple participants (processors, servers, routers etc.). Previous mathematical models for such asynchronous iterations assume a single function being iterated fixed set of participants. We will call static since the system's configuration does not change. However in several real-world examples, as inter-domain routing, both and change frequently while ...

farm machinery managers often need to make complex economic decisions on machinery replacement. repair and maintenance costs can have significant impacts on this economic decision. the farm manager must be able to predict farm machinery repair and maintenance costs. this study aimed to identify a regression model that can adequately represent the repair and maintenance costs in terms of machine...