@misc{GriewankStreubelTischendorf2020, author = {Griewank, Andreas and Streubel, Tom and Tischendorf, Caren}, title = {On the abs-polynomial expansion of piecewise smooth functions}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-78448}, year = {2020}, abstract = {Tom Streubel has observed that for functions in abs-normal form, generalized Taylor expansions of arbitrary order \$\bar d-1\$ can be generated by algorithmic piecewise differentiation. Abs-normal form means that the real or vector valued function is defined by an evaluation procedure that involves the absolute value function \$|...|\$ apart from arithmetic operations and \$\bar d\$ times continuously differentiable univariate intrinsic functions. The additive terms in Streubel's expansion are abs-polynomial, i.e. involve neither divisions nor intrinsics. When and where no absolute values occur, Moore's recurrences can be used to propagate univariate Taylor polynomials through the evaluation procedure with a computational effort of \$\mathcal O({\bar d}^2)\$, provided all univariate intrinsics are defined as solutions of linear ODEs. This regularity assumption holds for all standard intrinsics, but for irregular elementaries one has to resort to Faa di Bruno's formula, which has exponential complexity in \$\bar d\$. As already conjectured we show that the Moore recurrences can be adapted for regular intrinsics to the abs-normal case. Finally, we observe that where the intrinsics are real analytic the expansions can be extended to infinite series that converge absolutely on spherical domains.}, language = {en} } @inproceedings{StreubelStrohmTrunschkeetal.2018, author = {Streubel, Tom and Strohm, Christian and Trunschke, Philipp and Tischendorf, Caren}, title = {Generic Construction and Efficient Evaluation of Network DAEs and Their Derivatives in the Context of Gas Networks}, booktitle = {Operations Research Proceedings 2017}, publisher = {Springer International Publishing}, isbn = {978-3-319-89920-6}, doi = {10.1007/978-3-319-89920-6_83}, pages = {627 -- 632}, year = {2018}, abstract = {We present a concept that provides an efficient description of differential-algebraic equations (DAEs) describing flow networks which provides the DAE function f and their Jacobians in an automatized way such that the sparsity pattern of the Jacobians is determined before their evaluation and previously determined values of f can be exploited. The user only has to provide the network topology and local function descriptions for each network element. The approach uses automatic differentiation (AD) and is adapted to switching element functions via the abs-normal-form (ANF).}, language = {en} } @misc{StreubelStrohmTrunschkeetal.2017, author = {Streubel, Tom and Strohm, Christian and Trunschke, Philipp and Tischendorf, Caren}, title = {Generic Construction and Efficient Evaluation of Network DAEs and Their Derivatives in the Context of Gas Networks}, issn = {1438-0064}, doi = {10.1007/978-3-319-89920-6_83}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-64582}, year = {2017}, abstract = {We present a concept that provides an efficient description of differential-algebraic equations (DAEs) describing flow networks which provides the DAE function f and their Jacobians in an automatized way such that the sparsity pattern of the Jacobians is determined before their evaluation and previously determined values of f can be exploited. The user only has to provide the network topology and local function descriptions for each network element. The approach uses automatic differentiation (AD) and is adapted to switching element functions via the abs-normal-form (ANF).}, language = {en} }