يعرض 1 - 20 نتائج من 95 نتيجة بحث عن '(( algorithm phase functions ) OR ( ((algorithm python) OR (algorithm both)) function ))', وقت الاستعلام: 0.11s تنقيح النتائج
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    New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

    منشور في 2018
    "…After proving this equivalence, this paper introduces a novel data structure that may, with further tweaking, enable faster enumeration algorithms for both regular Boolean functions and all-capacities knapsack problem instances.…"
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    Thyristor controlled phase shifter based stabilizer design usingsimulated annealing algorithm حسب Abido, M.A.

    منشور في 1999
    "…This paper presents a thyristor controlled phase shifter (TCPS) based stabilizer design using the simulated annealing (SA) algorithm. …"
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    article
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    Rigorous Phase Equilibrium Calculation Methods for Strong Electrolyte Solutions: The Isothermal Flash حسب Ilias K. Nikolaidis (9217172)

    منشور في 2022
    "…In this way, an augmented function (Lagrange function) is formulated which serves as the basis for the equations that govern phase equilibrium. …"
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    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach حسب Nargess Sadeghzadeh-Nokhodberiz (16904952)

    منشور في 2023
    "…The method is firstly developed in a centralized scheme and then extended to a distributed framework using appropriate asymptotically convergent consensus algorithms. Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. …"
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    Computational evluation of protein energy functions حسب Mansour, Nashat

    منشور في 2014
    "…However, the energy functions proposed so far by biophysicists and biochemists are still in the exploration phase and their usefulness has been demonstrated only individually. …"
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    Distributed optimal coverage control in multi-agent systems: Known and unknown environments حسب Mohammadhasan Faghihi (22303057)

    منشور في 2024
    "…The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"
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    Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

    منشور في 2007
    "…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
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    article
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    Cross entropy error function in neural networks حسب Nasr, G.E.

    منشور في 2002
    "…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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    A new multimodulus blind equalization algorithm حسب Abrar, Shafayat

    منشور في 2004
    "…The proposed algorithm is obtained by removing the discontinuity found in the RCA cost function. …"
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    New fault models and efficient BIST algorithms for dual-portmemories حسب Amin, A.A.

    منشور في 1997
    "…These modifications allow multiple access of memory cells for increased test speed with minimal overhead on both silicon area and device performance. New fault models are proposed, and efficient O(n) test algorithms are described for both the memory array and the address decoders. …"
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    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

    منشور في 2024
    "…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"
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    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

    منشور في 1999
    "…The core of the proposed algorithm is based on genetic algorithms. Tabu search is used to generate new population members in the reproduction phase of the genetic algorithm. …"
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