Showing 121 - 127 results of 127 for search '"combinatorics"', query time: 0.05s Refine Results
  1. 121

    Optimasi Rute Rencana Perjalanan Pesawat Menggunakan Algoritma Late Acceptance Hill Climbing (Studi Kasus : Travelling Salesman Challenge 2.0) by Ahmad Muklason, I Gusti Agung Premananda

    Published 2023-08-01
    “…Abstract The Traveling Salesman Problem (TSP) is a classic problem that is popularly researched in the field of combinatorics optimization. This problem aims to determine the shortest travel route to visit each location exactly once and, at the end of the trip, must return to where the trip started. …”
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  2. 122

    Rigidity‐Driven Structural Isomers in the NaCl–Ga2S3 System: Implications for Energy Storage by Maria Bokova, Mohammad Kassem, Takeshi Usuki, Andrey Tverjanovich, Anton Sokolov, Daniele Fontanari, Alex C. Hannon, Chris J. Benmore, Igor Alekseev, Shinji Kohara, Pascal Roussel, Maxim Khomenko, Koji Ohara, Yohei Onodera, Arnaud Cuisset, Eugene Bychkov

    Published 2025-01-01
    “…In this unique occurrence, previously intact binary crystalline species transform upon melting into mixed liquid structural isomers, forming bonds with new partners. The chemical combinatorics appears to be fully reversible for stable crystals and liquids. …”
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  3. 123

    A Bilinear Bogolyubov Argument in Abelian Groups by Luka Milićević

    Published 2024-12-01
    “…Such sets, when $k$ is small and $\delta$ is not too small (which we get from Bogolyubov's argument), resemble low-codimensional subspaces of a vector space, and this additive structure has been exploited in many proofs in additive combinatorics. Bogolyubov's argument can be straightforwardly generalized to arbitrary finite Abelian groups. …”
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  4. 124

    The Singularity of the <i>K</i><sub>4</sub> Homeomorphic Graph by Haicheng Ma

    Published 2024-12-01
    “…The singularity of graphs is of certain interest in graph theory and algebraic combinatorics. For positive integers <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>a</mi><mi>i</mi></msub><mo>≥</mo><mn>2</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>i</mi><mo>=</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mo>…</mo><mo>,</mo><mn>6</mn></mrow></semantics></math></inline-formula>. …”
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  5. 125

    Synthesis of N-best Heat Recovery Networks with Consideration of Dynamic Control Performance by Zong Yang Kong, Tiffany Ang, Hao-Yeh Lee, Ákos Orosz, Ferenc Friedler, Bing Shen How

    Published 2024-12-01
    “…To address this gap, this work introduces a hybrid approach. First, all combinatorically feasible heat recovery networks are generated using P-HENS. …”
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  6. 126

    The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk by Kyle P. Messier, David M. Reif, Skylar W. Marvel

    Published 2025-01-01
    “…This is especially true when considering individual and population-level diversity, where the myriad combinations of real-world exposures magnify the combinatoric challenges. The GeoTox framework offers a tractable solution by integrating geospatial exposure data from source-to-outcome in a series of modular, interconnected steps. …”
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  7. 127

    Preparation of future teachers for innovative activities in pedagogical and technological educational environment by N. I. Naumkin, N. N. Shekshaeva, V. F. Kupryashkin, E. V. Zabrodina

    Published 2022-12-01
    “…The environment includes conceptually-targeted, infrastructural, content-based, psychological-didactic, methodological-technological and relaxation-diagnostic components, its features are the following: 1) focus on innovative training of technology teachers as directly related to the material objects of the innovative economy of the country; 2) universality in the form of the possibility of using it to solve other educational tasks; 3) graphical visualisation of the environment model with an indication of the hierarchy and interrelation of components, its scale, combinatoricity and functional sufficiency; 4) compliance of the environment with all the requirements of regulatory documents on educational activities at the university; 5) possibility of full-scale implementation of modern approaches to learning (innovative, personalised, environmental, project, etc.); 6) possibility of constant monitoring and control of the implementation of the environment within its relaxation and diagnostic component; 7) use of modern educational technologies, including digital; 8) possibility of obtaining specialised knowledge and studying other disciplines within the framework of using network learning; 9) innovativeness of the environment, determined by the novelty of the approach to teaching the teachers innovation technology and its effectiveness.To teach innovation activity in this environment, a model of a methodological system for the formation of competence in innovation activity among future technology teachers has been created, combining conceptually-targeted, meaningful, instrumental-activity and reflexive-evaluative components. …”
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