يعرض 1 - 6 نتائج من 6 نتيجة بحث عن '(( python proof implementation ) OR ( python practical implications ))', وقت الاستعلام: 0.43s تنقيح النتائج
  1. 1

    Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification حسب Umar Tabbsum (22058780)

    منشور في 2025
    "…The work includes both analytical proofs and numerical verification to ensure reproducibility and clarity.…"
  2. 2

    New product development in the industry 4.0 era: a literature review and research agenda حسب Thiago Augusto Aniceski (22401616)

    منشور في 2025
    "…Lastly, we propose a conceptual framework connecting NPD stages and their most frequent topics with TOE factors and I4.0 technologies, highlighting strategic purposes, organizational impacts, and managerial considerations as practical implications for industry.</p>…"
  3. 3

    From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components حسب Teresa Fortunato (21076099)

    منشور في 2025
    "…This case study demonstrates the outcomes and potential applications of the proposed framework, contributing to the debate on its implications for enhancing contemporary heritage evaluation and management practices.…"
  4. 4

    Reproducible visualization strategies for spatially varying coefficient (SVC) models: incorporating uncertainty and assessing replicability حسب Victor Irekponor (22303109)

    منشور في 2025
    "…This study introduces <i>svc-viz</i>, an open-source Python tool that codifies best practices into a standardized framework for interpreting and communicating SVC model results. …"
  5. 5

    Core-Based Smart Sampling Framework: A Theoretical and Experimental Study on Randomized Partitioning for SAT Problems حسب DURGHAM QARALLEH (21904172)

    منشور في 2025
    "…We provide theoretical guarantees on complexity reduction and probabilistic completeness, apply the method to SAT instances, and evaluate its performance using experimental Python implementations. The results show that smart sampling drastically reduces the effective complexity of SAT problems and offers new insights into the structure of NP-complete problems.…"
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