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    Properties of Plane Areas

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    Properties of Plane Areas Notation: A area x‚ y distances to centroid C Ix‚ Iy moments of inertia with respect to the x and y axes‚ respectively Ixy product of inertia with respect to the x and y axes IP Ix Iy polar moment of inertia with respect to the origin of the x and y axes IBB moment of inertia with respect to axis B-B 1 y x h C b y x Rectangle (Origin of axes at centroid) A Ix bh bh3 12 x Iy b 2 hb3 12 y h 2 Ixy 0 IP bh 2 (h 12 b2) 2 y B Rectangle (Origin of axes at corner)

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    MA6151 Part B 16 Marks

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    quadratic form Q = 6 x 2 + 3 y 2 + 3z 2 − 4 xy − 2 yz + 4 zx into canonical form by an orthogonal transformation. 2 2 2 13. Reduce the quadratic form 8 x1 + 7 x2 + 3x3 − 12 x1 x2 − 8 x2 x3 + 4 x3 x1 to the canonical form by an orthogonal transformation and hence show that it is positive semi-definite. 2 2 2 14. Reduce the quadratic form x1 + 5 x2 + x3 + 2 x1 x2 + 2 x2 x3 + 2 x3 x1 to the canonical form by an orthogonal transformation 15. Reduce the quadratic form x 2 + y 2 + z 2 − 2 xy − 2 yz − 2 zx

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    glaxo

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    NLSIU-BANGLORE All_India_Gen Y 1 2 130210092 IPSHITA BHUWANIA 28/07/1994 F N GENERAL 4 OTHERS 1 3 NLSIU-BANGLORE All_India_Gen Y 2 3 161210065 SHUBHAM JAIN 24/2/1994 M N GENERAL 4 OTHERS 1 3 NLSIU-BANGLORE All_India_Gen Y 3 4 161010573 RITWIK BHATTACHARYA 2/9/1995 M N GENERAL 4 U.P. 1 3 NLSIU-BANGLORE All_India_Gen Y 4 5 140110072 ABHINAV SINGH 30/9/1995 M N GENERAL 4 OTHERS 1 3 NLSIU-BANGLORE All_India_Gen Y 5 6 140110362 AKSHI RASTOGI

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    8-QUEEN CHESS PUZZLE’S SOLUTION IMPLEMENTING BACKTRACKING ALGORITHM I. INTRODUCTION Did you ever think that you can play chess with an eight queen in it? A simple board game‚ that turned into a tricky game. The Queen is the most powerful piece in the game of chess‚ but just how many queens can you fit on a chessboard before they start attacking each other? The answer is eight (8)‚ but positioning so many of these influential ladies on a single board is a tricky challenge. Put them in the

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    Metabical

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    Product positionMeasuring ValueProposition  Description of optionPricing for a 4 week supply of Metabicalat $75Pricing for a 4 week supply of Metabicalat $125Pricing for a 4 week supply of Metabicalat $150OverallAssessment  Do not recommend   y   Competitor basedpricing maybackfire y   Metabical doesnot have tocompete at allprice points that aconsumer wants R

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    Nature Conservation for Sustainable Societies Professor C Y Jim Department of Geography The University of Hong Kong GEOG1016 Nature Conservation for Sustainable Societies / Professor C Y Jim 1 WATER RESOURCE AND ITS  SUSTAINABLE MANAGEMENT  INTRODUCTION  GLOBAL PATTERN OF SUPPLY AND DEMAND  SOURCES AND USES OF WATER  HUMAN IMPACTS ON WATERS  SUSTAINABLE WATER RESOURCE  MANAGEMENT GEOG1016 Nature Conservation for Sustainable Societies / Professor C Y Jim 2 1 INTRODUCTION  our water planet (contrary to “Earth”)

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    Micro Economics

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    P AS O Y Output o ADC: Shows the combinations of the price level and level of output at which the goods and money markets are simultaneously in equilibrium. o ADC: Downward Sloping ( At higher prices‚ reduction in the Value of money supply‚ demand for output is reduced. P AD O Y Output o Equilibrium level of output and the

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    Hooplah Inc

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    Hooplah‚ Inc. R1. (a) It is acceptable to use the same set of samples when testing both controls‚ as each “transaction” should pass through all of the controls in a business process. It becomes more efficient to test the same set‚ because the audit team could request a comprehensive documents package from the client. The sample size table in Appendix A indicates that a sample size of 58 is acceptable for the first control‚ but the higher estimated population deviation rate for the second control

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    Ols introduction

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    Econometrics II Part I The Classical Linear Regression Model (CLRM) and the OLS Estimator 17/02/2010 Notation y1 y y2 yn column vector containing the n sample observations on the dependent variable y. (1) x 1k xk  x 2k x nk column vector containing the n sample observations on the independent variable x k ‚ with k  1‚ 2‚ . . . ‚ K. (2) x1 x2 xK X n  K data matrix containing the n sample observations on the K independent variables. Usually the

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    physics numericals

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    Let y = x 2 and y 2 = x 4 The above equation becomes: y 2 − 6 y + 8 = 0 y2 − 6 y + 8 = 0 y2 − 4 y − 2 y + 8 = 0 y ( y − 4) − 2( y − 4) = 0 ( y − 2)( y − 4) = 0 y − 2 = 0 and y − 4 = 0 y=2 y=4 2 As‚ y = x x2 = 2 x2 = 4 x = ±2 x=± 2 solution set = { 2‚ − 2‚ 2‚ −2} 2. x −2 − 10 = 3 x−1 Solution: x −2 − 10 = 3 x −1 x −2 − 3 x −1 − 10 = 0 Let y = x −1 and y 2 = x −2 The above equation becomes: y 2 − 3 y − 10 = 0 y 2 − 5 y + 2 y − 10 = 0 y ( y − 5) + 2( y − 5) = 0 ( y + 2)( y − 5)

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