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Publisher: Bruxelles: [éditeur inconnu],
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ISBN: 0387197788 3540197788 Year: 1992 Publisher: London : Springer-Verlag,
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Year: 1979 Publisher: Université de Liège : Institut Montefiore,
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Semantics. --- Programming languages --- Programming languages
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ISBN: 0137219520 9780137219520 Year: 1992 Publisher: New York, NY : Prentice-Hall,
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ISSN: 03029743 ISBN: 3540237275 3540278613 9783540237273 Year: 2004 Volume: 3145 Publisher: Berlin ; Heidelberg ; New York Springer
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Year: 1973 Publisher: New York, NY : Association for Computing Machinery,
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The papers in this volume were presented at an ACM Symposium on Principals of Programming Languages, sponsored jointly by SIGACT and SIGPLAN. These papers were selected from over 100 abstracts submitted in response to the Committee's call for papers. The Committee wishes to thank all those who submitted abstracts for consideration.The papers in these Proceedings have not been formally refereed, and several of the papers represent preliminary reports of ongoing research. It is anticipated that most of these papers will appear in more complete form in scientific journals.
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ISBN: 0471853992 9780471853992 Year: 1987 Publisher: New York, NY : John Wiley,
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ISBN: 0738148504 0738148512 Year: 2006 Publisher: New York, USA : IEEE,
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The Verilog hardware description language (HDL) is defined in this standard. Verilog HDL is a formal notation intended for use in all phases of the creation of electronic systems. Because it is both machine-readable and human-readable, it supports the development, verification, synthesis, and testing of hardware designs; the communication of hardware design data; and the maintenance, modification, and procurement of hardware. The primary audiences for this standard are the implementers of tools supporting the language and advanced users of the language. (Supersedes IEEE Std 1364-2001. Superseded by IEEE Std 1800-2009).
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ISBN: 1467359254 1467359246 Year: 2013 Publisher: Piscataway, New Jersey : IEEE,
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Adaptive (or Approximate) dynamic programming (ADP) is a general and effective approach for solving optimal control problems by adapting to uncertain environments over time ADP optimizes a user defined cost function with respect to an adaptive control law, conditioned on prior knowledge of the system, and its state, in the presence of system uncertainties A numerical search over the present value of the control minimizes a nonlinear cost function forward in time providing a basis for real time, approximate optimal control The ability to improve performance over time subject to new or unexplored objectives or dynamics has made ADP an attractive approach in a number of application domains including optimal control and estimation, operation research, and computational intelligence ADP is viewed as a form of reinforcement learning based on an actor critic architecture that optimizes a user prescribed value online and obtains the resulting optimal control policy.
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ISBN: 0738111899 0738111880 1665419644 Year: 2020 Publisher: Piscataway, NJ : IEEE,
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