Applied Radiation and Isotopes 69 (2011) 237–240 Contents lists available at ScienceDirect Applied Radiation and Isotopes journal homepage: www.elsevier.com/locate/apradiso Explicit finite difference solution of the diffusion equation describing the flow of radon through soil ´ ´ Svetislav Savovic a‚b‚n‚ Alexandar Djordjevich a‚ Peter W. Tse a‚ Dragoslav Nikezic b a b City University of Hong Kong‚ 83 Tat Chee Avenue‚ Kowloon‚ Hong Kong‚ China ´ Faculty of Science‚ R. Domanovica
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A. DETERMINE IF BLOOD FLOW CAN PREDICT ARTIRIAL OXYGEN. 1. Always start with scatter plot to see if the data is linear (i.e. if the relationship between y and x is linear). Next perform residual analysis and test for violation of assumptions. (Let y = arterial oxygen and x = blood flow). twoway (scatter y x) (lfit y x) regress y x rvpplot x 2. Since regression diagnostics failed‚ we transform our data. Ratio transformation was used to generate the dependent variable and reciprocal transformation
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Journal of Statistical Modeling and Analytics Vol.2 No.2‚ 29-42‚ 2011 Analyzing the Effects of Corporate Reputation on the Competitiveness of Telecommunication Industry using the Structural Equation Modelling: The Case of Kelantan 1 Zainudin Awang1 Faculty of Computer and Mathematical Sciences UiTM Kelantan E-mail: zainudin888@kelantan.uitm.edu.my ABSTRACT The competition for customers among telecommunication firms in Malaysia is fierce. The competition is not only limited to new customers
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ME 381 Mechanical and Aerospace Control Systems Dr. Robert G. Landers State Equation Solution State Equation Solution Dr. Robert G. Landers Unforced Response 2 The state equation for an unforced dynamic system is Assume the solution is x ( t ) = e At x ( 0 ) The derivative of eAt with respect to time is d ( e At ) dt Checking the solution x ( t ) = Ax ( t ) = Ae At x ( t ) = Ax ( t ) ⇒ Ae At x ( 0 ) = Ae At x ( 0 ) Letting Φ(t) = eAt‚ the solution
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| | |Assignment title | | | | |Simultaneous Equation | | |Programme (e.g.: APDMS) |HND CSD | | |Unit
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Physical Optics UNIT -I Chapter-1 One Dimensional Wave Equation Introduction Wave equation in one dimension Chapter-2 Three Dimensional Wave Equation Total energy of a vibrating particle Superposition of two waves acting along the same line Graphical methods of adding disturbances of the same frequency Chapter – 1 Introduction: The branch of Physics based on the wave concept of light is called ‘Wave Optics’ or ‘Physical Optics’. Mathematical representation of
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1 Math 547 Research Project Minju Kim Leontief Input-Output Model (Application of Linear Algebra to Economics) Introduction Professor Wassily Leontief started input-output model with a question‚ “what level of output should each of the n industries in an economy produce‚ in order that it will just be sufficient to satisfy the total demand for that product?” Leontief Inputoutput analysis which was developed by Professor Wassily Leontief in the 1930’s is a method used to analyze the relationships
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Uniform linear acceleration Introduction This topic is about particles which move in a straight line and accelerate uniformly. Problems can vary enormously‚ so you have to have your wits about you. Problems can be broken down into three main categories: Constant uniform acceleration Time-speed graphs Problems involving two particles Constant uniform acceleration Remember what the following variables represent: t = the time ; a = the acceleration ; u = the initial speed ; v = the final
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velocity of the stream using Equation 1. (Eqn. 1) Where is the flowrate in m3/s and A is the cross-sectional area of the pipe. To find the flowrate‚ we multiply the flowmeter reading by the constant and convert from gallons to cubic meters as follows: The cross sectional area of the 7.75mm pipe is Plugging these values into Equation 1‚ we obtain a bulk velocity . With the bulk velocity value‚ we can find the Reynolds number of the flow using Equation 2. (Eqn. 2) Plugging
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be used to solve systems of linear equations involving two or more variables. However‚ the system must be changed to an augmented matrix. -This method can also be used to find the inverse of a 2x2 matrix or larger matrices‚ 3x3‚ 4x4 etc. Note: The matrix must be a square matrix in order to find its inverse. An Augmented Matrix is used to solve a system of linear equations. a1 x + b1 y + c1 z = d1 a 2 x + b2 y + c 2 z = d 2 a3 x + b3 y + c3 z = d 3 System of Equations ⎯ ⎯→ Augmented Matrix ⎯
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