A polynomial-based division algorithm and a corresponding hardware structure are proposed. The proposed algorithm is shown to be competitive to other conventional algorithms like the Newton-Raphson algorithm for up to about 32 bits accuracy. For example, using Newton-Raphson with less than 12 bits accuracy of the initial approximation, requires 33% more general multiplications than the proposed...

Determining Break Even Point (BEP) in a production is an important thing to do. BEP analysis used as basis for profit planning. By knowing the (BEP), management can determine amount of or sales that must be made according target achieved. The research method literature review (literature study). Data collection techniques using secondary data taken from Kaggle site. uses descriptive statistics ...

KEYWORDS Load ow analysis, numerical techniques. ABSTRACT A number of facts about quadratic power ow problems f(x) = y + g(x) = 0, x 2 R n x , y 2 R n y and applied Newton-Raphson methods with optimal multipliers are presented. The main results are about solution structure, singular points and Newton-Raphson solutions. Comments and discussions are given. Although we address here to the power ow...

Applications of the Newton-Raphson optimization technique to molecular mechanics calculations are discussed. The theory for applying this method is developed in terms of the spectroscopic Wilson S vectors for stretching, bending and torsional internal coordinates. An exact method for calculating the geometries of transition states for interconversion processes is shown to follow directly from t...

Reentry trajectory optimization is a multi-constraints optimal control problem which is hard to solve. To tackle it, we proposed a new algorithm named CDEN(Constrained Differential Evolution Newton-Raphson Algorithm) based on Differential Evolution(DE) and Newton-Raphson. We transform the infinite dimensional optimal control problem to parameter optimization which is finite dimensional by discr...

This paper presents a supervising learning approach using Multilayer Feed Forward Neural Network(MFFN) and Radial Basis Fuction Neural Network(RBFN) to deal with fast and accurate static security assessment (SSA) and contingency analysis of a large electric power systems. The degree of severity of contingencies is measured by two scalar performance indices (PIs): Voltage-reactive power performa...

We present a scalable and robust Bayesian inference method for linear state space models. The method is applied to demand forecasting in the context of a large e-commerce platform, paying special attention to intermittent and bursty target statistics. Inference is approximated by the Newton-Raphson algorithm, reduced to linear-time Kalman smoothing, which allows us to operate on several orders ...

the stability analysis of islanded inverter-based microgrids (ibmgs) is increasingly an important and challenging topic due to the nonlinearity of ibmgs. in this paper, a new linear model for such microgrids as well as an iterative method to correct the linear model is proposed. using the linear model makes it easy to analyze the eigenvalues and stability of ibmgs due to the fact that it derive...

A hybrid particle swarm optimization algorithm which includes two alternative gradient-based methods for handling constraints has been proposed to solve process synthesis and design problems which involve continuous and binary variables and equality and inequality constraints (a mixed integer non-linear programming problem, MINLP). The first method for handling constraints uses the Newton-Raphs...