... drug responses Dosing of drugs 23 37 60 70 77 83 89 SECTION III: PHARMACOLOGY of organ systems 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Structure and function of the nervous system Drugs ... level Drug errors Responsibilities of health professionals Patient compliance Summary 10 10 11 12 13 14 15 15 16 18 Drugs are potent substances that can cause great damage if the...
Ngày tải lên: 24/05/2017, 22:31
... own right 1. 1 Who Should Take This Class The main goal of this class is to present a collection of mathematical tools for both understanding and solving problems in robotics and computer vision ... superposition of forces states that if force f1 produces acceleration a1 (both possibly vectors) and force f produces acceleration a2, then the combined force f1 + f2 produces accel...
Ngày tải lên: 10/08/2014, 02:20
EBook - Mathematical Methods for Robotics and Vision Part 2 pps
... kck, and kb ; ck yields kb ; ck2 = kbk2 + kck2 ; 2kbk kck cos and from equation (2. 8) we obtain bT b + cT c ; 2bT c = bT b + cT c ; 2kbk kck cos : Canceling equal terms and dividing by -2 yields ... is j =2 j j m 2 X kbk = b1 + k j =2 bj ej k : Pythagoras’ theorem can now be applied again to the last sum by singling out its first term conclusion, kbk2 = m X j =1 b e2 , and so fo...
Ngày tải lên: 10/08/2014, 02:20
EBook - Mathematical Methods for Robotics and Vision Part 4 docx
... Since we look for the minimum-norm solution, that is, for the shortest vector x, we also want the shortest y, because x and y are related by an orthogonal transformation We therefore set yr+1 ... therefore unique: minimum residual forces the choice of y1 : : : yr , and minimum-norm solution forces the other entries of y Thus, the minimum-norm, least-squares solution to the original sy...
Ngày tải lên: 10/08/2014, 02:20
EBook - Mathematical Methods for Robotics and Vision Part 5 ppt
... most problems in robotics, vision, and arguably every other science or endeavor take on the form of optimization problems One is that the desired goal may not be achievable, and so we try to ... yk+1 arguments and proofs below are adapted from D G Luenberger, Introduction to Linear and Nonlinear Programming, Addison-Wesley, 1973 From the definition of e and from equation (4 .5) we...
Ngày tải lên: 10/08/2014, 02:20
EBook - Mathematical Methods for Robotics and Vision Part 8 pdf
... : (5.13) If x = ei , the i-th column of the n n identity matrix, B e i is the i-th column of B , and B H ei is the i-th column of B H , which is the conjugate of the i-th row of B Since conjugation ... but so do, for instance, unitary (and therefore also real orthogonal) matrices: UU H = U H U = I : Thus, Hermitian, real symmetric, unitary, and orthogonal matrices are all normal 68...
Ngày tải lên: 10/08/2014, 02:20
EBook - Mathematical Methods for Robotics and Vision Part 10 ppsx
... “iterative” in computer science 7.3 STATE ESTIMATION 89 yk-1 yk yk+1 time k-1 k+1 k ^ yk | k-1 Hk ^ xk-1 | k-1 Pk-1 | k-1 propagate ^ xk | k-1 Pk | k-1 update ^ xk | k Pk | k propagate ^ xk+1 | k Pk+1 ... “Kalman filter-based algorithms for estimating depth from image sequences,” International Journal of Computer Vision, 3(3):20 9-2 36, September 1989; and T.J Broida, S Chandrashekhar,...
Ngày tải lên: 10/08/2014, 02:20
EBook - Mathematical Methods for Robotics and Vision Part 11 potx
... since E 93 Ln] = L E n] and E n] = For this to hold for all x we need I ; LH = And now the main result Theorem 7.4.2 The Best Linear Unbiased Estimator (BLUE) ^ = Ly x for the measurement model ... matrices, and the Kalman filter makes optimal use of this information for a proper weighting of each of the scalar equations in (7.23) Better information ought to yield more accurate r...
Ngày tải lên: 10/08/2014, 02:20
Ebook Quantitative finance for physicists an introduction Part 2
... gE[R1 ] þ (1 À g)E[R2 ] (10:1:5) 113 Portfolio Management and the portfolio standard deviation is s2 ¼ g2 s1 þ (1 À g )2 s2 þ 2g(1 À g)s 12 (10:1:6) In (10.1.6), s 12 is the covariance between the ... long-range half-life of about 2. 7 years Similarly, y2 (t þ 1) ¼ r2 y2 (t) þ Z2 (t þ 1) (8:3:4) where Z2 (t) is an independent Gaussian adjusted so that var[y2 (t)] ¼ The chosen value r2 ¼...
Ngày tải lên: 18/05/2017, 10:28
Ebook Methods and reagents for green chemistry Part 2
... Hutzinger, O et al., Chemosphere, 1991, 23 , 1491 REFERENCES 15b 16 17a 17b 18a 18b 19 20 a 20 b 21 22 23 a 23 b 23 c 24 25 26 27 28 187 McKay, G Chem Eng J., 20 02, 86(3), 343 Kaune, A.; Lenoir, D.; ... continue Methods and Reagents for Green Chemistry: An Introduction, Edited by Pietro Tundo, Alvise Perosa, and Fulvio Zecchini Copyright # 20 07 John Wiley & Sons...
Ngày tải lên: 18/05/2017, 15:36
Ebook Fundamental numerical methods and data analysis Part 1
... theorems and in section 1. 2, we can write the solution in terms of the determinant of A as a 11 a 12 ⋅ ⋅ ⋅ a 1n a 11 x a 12 ⋅ ⋅ ⋅ a 1n (a 11 x + a 12 x + ⋅ ⋅ ⋅ + a 1n x n ) a 12 ⋅ ⋅ ⋅ a 1n a 21 a ... matrix by "minors" so that a 11 a 12 a 13 det A = a 21 a 22 a 23 = a 11 (a 22 a 33 − a 23 a 32 ) − a 12 (a 21a 33 − a 23 a 31 ) + a 13 (a 21a 32 − a 22 a 13 ) (1. 2 .10 ) a...
Ngày tải lên: 19/05/2017, 07:59