This current paper examines water poverty situation in Kathmandu district terms of resource and environment constraints. Integrated methodology was adopted for the study. Water source sample survey carried out using GPS tool. Study area comprised total 13 sites. Household questionnaire mapping analysis. Resource component indicators, namely seasonal variation availability, supply frequency grou...

Table 1 in the paper presents related content generation approaches based on graph search, constraint graph search and dynamic programming. Column resource constraints/type denotes the number of resource constraints the algorithm can handle. Type refers to the demand, how a constraint might be satis ed/achieved. If a constraint needs to be satis ed exact, then it is referred to an equality cons...

Loop pipelining is a scheduling technique widely used to improve the performance of systems running scientiic applications, such as multimedia and DSP systems. These applications usually contain repetitive groups of operations represented by nested loops, categorized by multi-dimensional systems. Considerable research has been conducted to produce high throughput schedules under resource constr...

We introduce a novel global constraint for the total weighted completion time of activities on a single unary capacity resource. For propagating the constraint, an O(n) algorithm is proposed, which makes use of the preemptive mean busy time relaxation of the scheduling problem. The solution to this problem is used to test if an activity can start at each start time in its domain in solutions th...

This paper describes our progress in designing and developing a Java constraint programming class library called JSolver2. JSolver extends the object-oriented programming paradigm of Java with constraint-based declarative programming. Other constraint-based Java tools act as pre-processors to Java. JSolver, on the other hand, is implemented as a set of pure Java classes and allows direct develo...

Resource constraints frequently complicate multi-agent planning problems. Existing algorithms for resource-constrained, multi-agent planning problems rely on the assumption that the constraints are deterministic. However, frequently resource constraints are themselves subject to uncertainty from external influences. Uncertainty about constraints is especially challenging when agents must execut...

the realization optimality theory is a recent development in the original optimality theory which is proposed to deal with morphological issues especially the inflectional ones. its main idea is to consider the morphological realization rules as ranked violable language-specific constraints that control the realization processes and provide phonological information of grammatical morphemes. thi...