Download e-book for kindle: Automatic Differentiation: Applications, Theory, and by H. Martin Bücker, George Corliss, Paul Hovland, Uwe Naumann,

By H. Martin Bücker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris

ISBN-10: 3540284036

ISBN-13: 9783540284031

ISBN-10: 3540284389

ISBN-13: 9783540284383

This assortment covers the cutting-edge in automated differentiation idea and perform. Practitioners and scholars will know about advances in automated differentiation options and methods for the implementation of strong and robust instruments. Computational scientists and engineers will enjoy the dialogue of purposes, which supply perception into potent thoughts for utilizing computerized differentiation for layout optimization, sensitivity research, and uncertainty quantification.

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Read Online or Download Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering) PDF

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Extra info for Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering)

Example text

Theorem 6. We have Irreducible P (T, X, Y ) such that P (t, x, x) ˙ =0 x(t) 1 2 (1 − cos t)/t (1 − cos t)/( 12 t2 ) (T Y + X)2 − T X(1 − T X) (T Y + 2X)2 + X(T 2 X − 4) ( 12 t2 )/( 1 − cos t) (T Y − 2X)2 + X 2 (T 2 − 4X). In each of these cases, there does not exist a rational function R(T, X) such that x(t) satisfies the explicit differential equation x˙ = R(t, x). Proof. The final statement follows in each case because the implicit polynomial ODE is irreducible and quadratic in Y . The functions (tan t)/t and t/(tan t) have removable singularities at t = 0, but unlike the functions in Theorem 6, they satisfy explicit rational ODEs.

The reverse method is the use of this chain rule for the case of ordered systems. Notice that the direct or algebraic derivative of z3 with respect to z1 is only 4, because that is the direct impact along the outer arrow. However, the total or ordered derivative is 7. Backwards Differentiation in AD and Neural Nets 27 For a system with n inputs as in Fig. 8, the reverse method allows one to compute all the required derivatives exactly in one pass, instead of the n passes needed with older methods.

This commutative ring has no zero divisors and is a unique factorization domain. That is, each non-constant polynomial factors into irreducible factors, unique up to nonzero constant multiples. ) The letters x, y, . . denote functions of the complex variable t. Lemma 1. Let x(t) be a non-constant periodic function, and let P (T, X) be a polynomial such that P (t, x(t)) = 0. Then P (T, X) = 0. That is, P is the zero polynomial. Proof. Fix t0 . Then P (T, x(t0 )) = 0 is a polynomial with infinitely many zeros: T = t0 + np, where p is a period of x(t).

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Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering) by H. Martin Bücker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris


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