Results 81 to 90 of about 38,694 (221)
, 2018 In this two-part study we develop a unified approach to the analysis of the global exactness of various penalty and augmented Lagrangian functions for finite-dimensional constrained optimization problems.
Dolgopolik, M. V.
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Sustainable Development, EarlyView.ABSTRACT This study investigates how green and non‐green goods, energy transition, digitalization, economic growth, and population affect the material footprint of G‐7 countries from 1990 to 2023. Using an extended STIRPAT framework, we show that green and non‐green goods increase material footprint, demonstrating the resource intensity associated with
Sohidul Islam +5 more
wiley +1 more source
Ain Shams Engineering Journal, 2015 Load shedding is considered as a last alternative to avoid the cascaded tripping and blackout in power systems during generation contingencies. It is essential to optimize the amount of load to be shed in order to prevent excessive load shedding.
R. Mageshvaran, T. Jayabarathi
doaj +1 more source
Exact augmented Lagrangian functions for nonlinear semidefinite programming
, 2018 In this paper, we study augmented Lagrangian functions for nonlinear semidefinite programming (NSDP) problems with exactness properties. The term exact is used in the sense that the penalty parameter can be taken appropriately, so a single minimization ...
Fukuda, Ellen H., Lourenço, Bruno F.
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Sustainable Development, EarlyView.ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem +3 more
wiley +1 more source
Morozov's principle for the augmented Lagrangian method applied to linear inverse problems
, 2010 The Augmented Lagrangian Method as an approach for regularizing inverse problems received much attention recently, e.g. under the name Bregman iteration in imaging.
Frick, Klaus +2 more
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Dynamic Wave Trains: A Procedural Approach to Spatially Varying Ocean Synthesis
Computer Graphics Forum, EarlyView.In this paper, we present a high performance procedural model capable of synthesizing and rendering a virtually infinite ocean. Our method exhibits spatial variations as the orientations, speed and choppiness of the waves is parametrized for each frequencies and each point in space. The provided visual abstract exhibits a sunset rendering of a large 40
Romain Fournier +4 more
wiley +1 more source
A new family of models with generalized orientation in data envelopment analysis
International Transactions in Operational Research, EarlyView.Abstract In the framework of data envelopment analysis, we review directional models and show that they are inadequate when inputs and outputs are improved simultaneously under constant returns to scale. Conversely, we introduce a new family of quadratically constrained models with generalized orientation and demonstrate that these models overcome this
Vicente J. Bolós +2 more
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A Primal-Dual Algorithmic Framework for Constrained Convex Minimization [PDF]
, 2014 We present a primal-dual algorithmic framework to obtain approximate solutions to a prototypical constrained convex optimization problem, and rigorously characterize how common structural assumptions affect the numerical efficiency.
Cevher, Volkan, Tran-Dinh, Quoc
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International Transactions in Operational Research, Volume 33, Issue 5, Page 3128-3157, September 2026.Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source