Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air- line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved...

After a decade of unprecedented expansion, the level of world military spending is now falling, although modestly. Political developments in Europe and the success of arms control negotiations raise hopes for further reductions, however performance has not matched up to the promises, and formidable obstacles to limitations on defense spending still remain. This study analyses world military expenditures at the end of the 1980s and discusses its political and economic implications, paying special attention to recent events and the process of change that characterizes world military expenditure...

Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air- line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved...