"Zhu Xi" Essays and Research Papers

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    Approximated Error" write(unit=4‚fmt=*)"For this solution initial guess is taken ONE" write(unit=4‚fmt=*)"Iteration Calculated Root Percent True Error Percent Approximated Error" do xi=x iter=iter+1 f=xi**3+2.3*xi**2+0.32*xi-0.56 d_f=3*xi**2+4.6*xi+0.32 x=xi-f/d_f re=abs(0.4-x)/0.4*100 ae=abs((x-xi))/x*100 if

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    Npa, Npa Assets

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    Non Performing Assets (npa) in sbi Getting current updates and regulations for the non performing assets (npa) in sbi With a steep rise in the ratio of the nonperforming assets all over the country‚ it has been really tough for the RBI to control and manage in the given time frame. No doubt‚ public sector banks including SBI have been in the list of banks that have been implementing the procedures to control the default line of the borrowers. On the other hand‚ it should also be noted that nonperforming

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    Green Purchasing

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    Research on factors of green purchasing practices of Chinese Green purchasing is a key strategy for enterprises to reduce waste and improve efficiency and enhance competitiveness. Based on the survey of 144 companies‚ five Principal components of green purchasing practices were extracted through factor analysis using SPSS statistic software. And then‚ regression analysis were conducted to verify the hypothesis‚ it drawed a conclusion on leaders’ support will boost the green purchasing practices

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    The life story of Genghis Khan fascinates because of the significant strides he made in life. Unlike his grandson who inherited power‚ he had to work hard to reach the position of power. While his rise to power was in itself a major achievement‚ his success to unite and organize a formidable force made up of Mongols‚ who were essentially nomads‚ is a reflection of his intellectual acuteness. Even though also acknowledging that his grandson‚ Kublai Khan‚ was also successful in conquering the parts

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    CISM02 Unit 8

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    Inventory Systems Dr Valentina Plekhanova CISM02: Decision Support for Management Unit 8 Unit 8: Learning Outcomes 1. 2. 3. 4. 5. 6. 7. To understand the inventory problems To be able to distinguish between a variety of the major stock costs To understand the nature of demands To understand the simple Economic Order Quantity (EOQ) model To construct an algebraic model for a simple inventory system To be able to apply inventory models to the practical problems To be able to explain the limitations

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    Chapter 08.02 Euler’s Method for Ordinary Differential Equations After reading this chapter‚ you should be able to: develop Euler’s Method for solving ordinary differential equations‚ determine how the step size affects the accuracy of a solution‚ derive Euler’s formula from Taylor series‚ and use Euler’s method to find approximate values of integrals. 1. 2. 3. 4. What is Euler’s method? Euler’s method is a numerical technique to solve ordinary differential equations of the form

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    When I was little‚ there was a toy I often played with. A game with a variety of differently shaped holes‚ along with a variety of differently shaped pegs. I was only a few years old‚ so it often left me puzzled‚ with the discordant jumble of shapes around me to be put into their rightful places. Usually I would match them after some confusion‚ but sometimes I’d be too stubborn or too foolish to match them correctly. There were often bitter victories‚ where I’d squeeze the plastic triangle into the

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    2d-Ar Model

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    STRUCTURE PRESERVING IMAGE INTERPOLATION VIA ADAPTIVE 2D AUTOREGRESSIVE MODELING Xiangjun Zhang and Xiaolin Wu Department of Electrical & Computer Engineering‚ McMaster University Hamilton‚ ON‚ Canada L8S 4K1; zhangxj@grads.ece.mcmaster.ca/xwu@ece.mcmaster.ca ABSTRACT The performance of image interpolation depends on an image model that can adapt to nonstationary statistics of natural images when estimating the missing pixels. However‚ the construction of such an adaptive model needs the knowledge

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    Nonlinear Programming

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    • It is easy to use the Excel Solver to solve NLPs. • The process is similar to a linear model. • For NLPs having multiple local optimal  solutions‚ the Solver may fail to find the  optimal solution because it may pick a local  extremum that is not a global extremum. 22 Example 2 • Trucko is trying to determine where they should locate a  single warehouse. The positions in the x‐y plane of their four  customers and the number of shipments made annually to  each customer are given. Trucko

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    Qantas Dispute

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    BACKGROUND This paper aims at analyzing the industrial dispute between Qantas and the trade unions in 2011. The key questions include: _(1) WHAT WERE THE CAUSES AND CONSEQUENCES OF THE QANTAS DISPUTE IN 2011? (2) WHAT DOES IT ILLUSTRATE ABOUT CHANGING INDUSTRIAL RELATIONS IN AUSTRALIA?_ To address the question (1)‚ there is an analysis of the interviews and documentary evidence to explain the causes and consequences of the Qantas dispute. To the question (2)‚ it applies theories of industrial relation

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