PPT-Change Matrix
Author : pasty-toler | Published Date : 2016-04-25
Current State Desired State Goal Increase participation in Physical Fitness and Sports Development Program by 75 in 3years Objectives 15 165 of 1109 PGAS employees
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Change Matrix: Transcript
Current State Desired State Goal Increase participation in Physical Fitness and Sports Development Program by 75 in 3years Objectives 15 165 of 1109 PGAS employees availed the indoor physical fitness exercises. Section 2. Lemma 2.2.1. Let . i. =1 and . j. =2, then . Lemma 2.2.1. Let . i. =1 and . j. =2, then . Lemma 2.2.1. Let . i. =1 and . j. =2, then . Lemma 2.2.1. Let . i. =1 and . j. =2, then . Lemma 2.2.1. Review. LU Factorization. If a square matrix can strict upper triangular form, U, without interchanging any rows, then A can be factored as A=LU, where L is a low triangular matrix.. Ax=. b. L(Ux. )=. Inverse Kinematics (part 2). Forward Kinematics. We will use the vector:. to represent the array of M joint DOF values. We will also use the vector:. to represent an array of N DOFs that describe the . 2016/11/30. Hongfei. Yan. Multi-Dimensional Arrays or Matrices. a simple two-dimensional tabular summary. . When . rolling two dice, there are 36 possible . outcomes. a . multi-dimensional table . m. movies. v11. …. …. …. vij. …. vnm. V[. i,j. ] = user i’s rating of movie j. n . users. Recovering latent factors in a matrix. m. movies. n . users. m. movies. x1. y1. x2. y2. ... ... …. Matrix. •. . Binary Matrix. •. . Sparse Matrix. •. . Operations for Vectors/Matrices. •. . Graph and Adjacent Matrix. •. . Adjacent List. Matrix and Graph. •. . Matrix is a 2-dimensional . DETERMINANT. a “determinant” is a certain . kind of . function that associates a real number with a square . matrix. We will . obtain a formula for the inverse of an invertible matrix as well as . . Ossama. Inverse Matrix :. If . A. is a square matrix. , and if a . matrix . B. of the same size . can be found such that . AB = BA = I. , then . A. is said to be . invertible. and . B. is called an . m. columns. v11. …. …. …. vij. …. vnm. n . rows. 2. Recovering latent factors in a matrix. K * m. n * K. x1. y1. x2. y2. ... ... …. …. xn. yn. a1. a2. ... …. am. b1. b2. …. …. bm. v11. Module developers:. Giacomo Grassi , Joint Research Centre. Suvi Monni, Benviroc . Frédéric Achard, Joint Research Centre. Andreas Langner, Joint Research Centre. Martin Herold, Wageningen University . Fundamental matrix. Fundamental matrix result. Properties of the Fundamental Matrix. is the . epipolar. line associated with. . . is the . epipolar. line associated with . 4. T. 0. Approaches of BCG Matrix. Components of BCG Matrix. Applications of BCG Matrix. Advantages of BCG Matrix . Limitations of BCG Matrix . ?. The BCG Matrix . . .. High. Low. Relative position (Market Share). How fast does a population increase/decrease? . (r, lambda). What will the population size be next year? (management). Need to summarize Births & Deaths (age structure) of a population. Cohort Life Tables. Begin with a unit square:. (1,0). (0,1). Transform this by a matrix. (1,0). (0,1). Transform this by a matrix. (1,0). (0,1). (. a,c. ). Transform this by a matrix. (1,0). (0,1). (. b,d. ). .
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