Problem Formulation Clause Samples

Problem Formulation. In this section, I present a mathematical formulation for the scheduler proposed. The scheduler will be maximising a network utility function based on the afore- mentioned PF PS in Equation 3.6. Namely, the scheduling decisions are made so to maximise the sum data rate of users in the network. Limitations such as the maximum base station transmit power, minimum SINR and dual-CoMP restric- tion on the time sharing factor (i.e. a maximum of 2 base stations cooperating) are also noted. The notion of time (t) is dropped herein for simplicity. We present the scheduler mathematically below as the following optimisation problem [C1]: max U (X, P) = Σ log τm , subject to (I) : −βm ln . eβm . ≥ γmin, ∀m ∈ M Σ τm  ∀k∈K

Problem Formulation. System model

Problem Formulation n,c n,c n,c n,c n,c M N C m m τ¯m

Problem Formulation. Second strategy proposes a different approach for energy trading optimization by jointly minimizing the total power consumption in the fronthaul through adjusting the degree of partial cooperation among RRHs, the RRHs’ total transmit power and the overall real-time energy purchase from the grid, under the constraints of satisfying the QoS/energy transmission requirements of the ITs/ETs, respectively. The proposed strategy 2 can be formulated as w ,vne,B[real] αP[coop] + β ∑ n∈Lb P[Tx] + ζ ∑ n∈Lb nB[real],

Problem Formulation. How does the lack of interactive audiovisual didactic resources influence in the teaching - learning of the English language in the students of ninth year of Basic Education at ¨EL TRIUNFO¨ High School during the school year 2011-2012

Problem Formulation. To frame the assessment within the ecological and sociological context of Port ▇▇▇▇▇▇, we asked some general questions based on our research of scientific papers, monitoring and technical reports, and discussions with stakeholders in the area. Stakeholders were identified as members of the community, state and federal agencies with jurisdiction in the Port, and the private and commercial enterprises operating in the vicinity. ▇▇. ▇▇▇ ▇▇▇▇▇▇▇▇ of the RCAC was our liaison to these risk managers, suggesting contacts and providing local information. The problem formulation phase culminated with the selection of assessment endpoints and formation of a conceptual model, on which was based the second phase of the assessment. We intentionally chose general assessment endpoints relevant to the entire region. Likewise, the conceptual model was broad in scope. The selection of endpoints and the formation of the model was an iterative process that evolved throughout the assessment process, and could easily be modified to reflect new data or changes in the environment. These two parameters in the problem formulation, general assessment endpoints and a flexible conceptual model, provided the structure for this regional assessment.

Problem Formulation. How does the lack of audiovisual resources affecting on teaching-learning process of English language at Dr. ▇▇▇▇ ▇▇▇▇▇ ▇▇▇▇▇▇▇ ▇▇▇▇▇▇ High School´s Eight Grade students of Basic General Education?

Problem Formulation. The problem is to construct a feasible manufacturing/remanufacturing schedule such that no deadlock occurs (if such a schedule exists), all the demands are satisfied with no overproduction, and the maximum lateness Lmax is minimized. This problem is to be denoted as P (W, R, B, Lmax), which is an abbreviation for Problem (Work, Rework, Buffer, Latenessmax). Deadlock handling methods in computer and manufacturing systems were discussed and a deadlock avoidance scheme was presented by ▇▇▇▇▇▇▇▇▇▇▇ and Van Brussel [19], who used in their developments data from an existing car paint shop in Sindelfingen (Germany). Notice that an ideal implementation of a feasible solution to the problem P (W, R, B, Lmax) will not need a deadlock handling mechanism. Due to the fact that items of the same product are identical, it can easily be seen that a search for an optimal solution can be limited to schedules in which defective items of the same product leave the buffer in the same order as they enter it, following the well known First-In-First-Out (FIFO) strategy. A managerial implication of this observation is that the buffer can be designed as a collection of unidirectional lines each of which is dedicated to a specific product.

Problem Formulation. 3.2.1 Process and noise models