Download Dynamic Equations on Time Scales: An Introduction with by Martin Bohner PDF

By Martin Bohner

An method of differential equations through publicity to non-stop and discrete research. calls for just a first semester of calculus and linear algebra. might function a connection with stimulate the advance of recent varieties of equations with new purposes.

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Given this semi-automatic usage of AD, can we trust AD for safety-critical applications? Although the chain rule of calculus and the analyses used in AD are proved correct, the correctness of the AD generated code is tricky to establish. First, AD may locally replace some part B of the input code by B that is not observationally equivalent to B even though both are semantically equivalent in that particular context. Second, the input code may not be piecewise differentiable in contrast to the AD assumption.

Q, operating on a global memory space p ∈ Rµ . The fi are assumed to encapsulate the ϕi from (1). Hence, the local tapes are empty since the single output is computed without evaluation of intermediate values directly from the inputs of fi . Any given instance of DAGR can thus be mapped uniquely to an instance of RC and vice versa. A solution for DAGR can be obtained by solving the corresponding RC problem. Therefore RC must be at least as hard as DAGR. A given solution to RC is trivially verified in polynomial time by counting the number of flops performed.

Our theoretical approach needs be implemented using an AD tool and a theorem prover for at least the WHILE-language considered in this work. We need also to find a logical formalism in which to express a certificate so that its checking is tractable. Examples of such formalisms are investigated in [5, 12]. References 1. : Compilers: principles, techniques, and tools, Second edn. Addison-Wesley Publishing Company, Boston, USA (2006) 2. : Certification of directional derivatives computed by automatic differentiation.

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