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Predicting stable crystal structures for complex systems that involve multiple elements or a large number of atoms presents a formidable challenge in computational materials science. A recent ...
Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
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CasADi is a symbolic framework for numeric optimization implementing ... IPOPT etc. It can be used from C++, Python or Matlab/Octave.
Readers can begin directly from the introductory chapters, which cover basic elements of the Python programming language, then progress to the main chapters where techniques of scientific computation ...
Abstract: A symbolic analysis tool is presented that generates simplified symbolic expressions for the small-signal characteristics of large analog integrated circuits. The expressions are ...
Abstract: To compute collision-free and dynamically-feasibile trajectories that satisfy high-level specifications given in a planning-domain definition language, this paper proposes to combine ...
2021年3月発売の「Python数値計算プログラミング」(講談社)サポートページです。 本書で解説している全てのPytnonスクリプトを公開しています。本文のミスなどはここに書き足しておくよう ...
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