![]() It is shown that modern cities of this type, due to the presence of buildings of various heights with various reflection coefficients and a significant level of electromagnetic interference, create specific conditions for the propagation of radio waves, forming multipath fields with a complex interference structure and sharp spatial changes in signal levels, which creates a number of issues related to both the quality of communication and its reliability, including, in particular, the determination of energy reserves of radio communication channels. In this article, the influence of various factors and conditions of data transmission on the energy reserve of radio communication channels with small-sized unmanned aerial vehicles performing flight tasks within the "smart cities" with dense buildings is evaluated using mathematical modeling. In contrast the exchange rate rule plays a less important in the amount of deadweight loss. Regarding the deadweight loss in relation to the three monetary rules, the findings of this study show that in the face of volatilities studied, household deadweight loss is affected more strongly by headline inflation rule than the other two policies. Consequently, it is necessary to evaluate the appropriate policy. However, in some cases, including GDP, we experience a decreasing response of variables regarding the adoption of headline inflation and exchange rate policies. Studies show increasing number of variables being investigated, but in some cases, this trend has quickly reached stability, yielding an appropriate pattern for adopting the optimal policy. After performing linearization procedures, this study analyses the shocks responses and results, with a focus on the three rules of monetary policy (headline inflation, core inflation targeting, and exchange rate) for the purpose of optimal monetary policy. This model is comprised of these sectors: household, oil, non-oil, import, final goods production, and government. Focusing on the New Keynesian School of thought, this study develops a stochastic dynamic general equilibrium (SDGE) model compatible with the situation of Iran. This study also seeks to examine a type of monetary policy consistent with Iran's economic conditions. Accordingly, this study aims to investigate the effect of external shocks (global oil price shock, global inflation, and foreign interest) on macroeconomic variables. Therefore, it is essential to investigate different external shocks in the economy, as well as how these shocks can be managed. The economies of countries may face a variety of shocks driven by various factors, leading to high economic and non-economic costs. In this paper, we further develop the notion of cyclic $(\alpha, \beta)$-admissible mappings introduced in (\cite and several well-known results on fixed point theory and its applications. Linear programs are problems that can be expressed in standard form asįind a vector x that maximizes c T x subject to A x ≤ b and x ≥ 0. A linear programming algorithm finds a point in the polytope where this function has the smallest (or largest) value if such a point exists. ![]() Its objective function is a real-valued affine (linear) function defined on this polyhedron. ![]() Its feasible region is a convex polytope, which is a set defined as the intersection of finitely many half spaces, each of which is defined by a linear inequality. More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. Linear programming is a special case of mathematical programming (also known as mathematical optimization). Linear programming ( LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. The linear programming problem is to find a point on the polyhedron that is on the plane with the highest possible value. The surfaces giving a fixed value of the objective function are planes (not shown). A closed feasible region of a problem with three variables is a convex polyhedron. The red line is a level set of the cost function, and the arrow indicates the direction in which we are optimizing. The optimum of the linear cost function is where the red line intersects the polygon. The set of feasible solutions is depicted in yellow and forms a polygon, a 2-dimensional polytope. ![]() A pictorial representation of a simple linear program with two variables and six inequalities. For the retronym referring to television broadcasting, see Broadcast programming.
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