Results 31 to 40 of about 7,346,682 (229)
Journal of Advanced Transportation, 2020 This study proposes a trajectory planning method for an automated lane change maneuver. We consider that the spatiotemporal trajectory of a controlled vehicle can be represented by a polynomial function and estimate the parameters of the polynomial ...
Chong Wei, Shurong Li
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The application of the dynamic programming method in investment optimization [PDF]
Megatrend Revija, 2016 This paper deals with the problem of investment in Measuring Transformers Factory in Zajecar and the application of the dynamic programming method as one of the methods used in business process optimization.
Petković Nina, Božinović Milan
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Duality in nonlinear programming [PDF]
Quarterly of Applied Mathematics, 1962 The main result of this work is a converse theorem to a duality theorem for nonlinear programming recently established by Wolfe. The conditions on the present theorem are slightly stronger than those imposed by Wolfe. Hanson has given a different proof of a similar theorem but without stating in the theorem some important assumptions made in the proof.†
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A Novel Reduced-Order Analytical Fault Diagnosis Model for Power Grid
IEEE AccessPower grid fault diagnosis methods based on analytical models possess advantages such as logical rigor, strong interpretability, and high applicability.
Zhuonan Lin +3 more
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Nonlinear Mathematical Programming in Engineering Applications [PDF]
Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2010 This paper deals with suitable nonlinear optimization in engineering applications via mathematical programming. This tool is used for optimization and control of production of steel slabs and inverse tasks, such as determination of boundary conditions ...
Tomáš MAUDER
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Optimality Condition and Wolfe Duality for Invex Interval-Valued Nonlinear Programming Problems
Journal of Applied Mathematics, 2013 The concepts of preinvex and invex are extended to the interval-valued functions. Under the assumption of invexity, the Karush-Kuhn-Tucker optimality sufficient and necessary conditions for interval-valued nonlinear programming problems are derived ...
Jianke Zhang
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Towards a de facto Nonlinear Periodization: Extending Nonlinearity from Programming to Periodizing
Sports, 2020 Planning is paramount in sport. Among different philosophical approaches to planning, periodization is a highly popular concept that refers to structured training periods with ensuing programs encompassing moments of progressively-loaded training ...
José Afonso +4 more
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Linearized Programming of Memristors for Artificial Neuro-Sensor Signal Processing
Sensors, 2016 A linearized programming method of memristor-based neural weights is proposed. Memristor is known as an ideal element to implement a neural synapse due to its embedded functions of analog memory and analog multiplication.
Changju Yang, Hyongsuk Kim
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Semistrict -Preinvexity and Optimality in Nonlinear Programming
Abstract and Applied Analysis, 2013 A class of semistrictly -preinvex functions and optimality in nonlinear programming are further discussed. Firstly, the relationships between semistrictly -preinvex functions and -preinvex functions are further discussed. Then, two interesting properties
Z. Y. Peng, Z. Lin, X. B. Li
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A Novel Approach for Solving Quadratic Fractional Programming Problems
Croatian Operational Research Review, 2018 In this paper, quadratic fractional programming (QFP) problems involving a factorized or non-factorized objective function and subject to homogenous or non-homogenous constraints are considered.
Mustafa Sivri +2 more
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