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Titlebook: Mathematical Optimization Theory and Operations Research; 18th International C Michael Khachay,Yury Kochetov,Panos Pardalos Conference proc

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樓主: burgeon
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發(fā)表于 2025-3-23 10:49:05 | 只看該作者
Dimitrije D. ?voki?,Yury A. Kochetov,Aleksandr V. Plyasunov,Aleksandar Savi?aturing contributions presented at the 2017 TranSopot Conference in Sopot, Poland, the enclosed papers are divided to provide emerging research in transport sustainability, innovation, structure, and in municipal transport economics. Collectively, the contributions provide not only the theoretical b
12#
發(fā)表于 2025-3-23 14:55:44 | 只看該作者
Stephan Dempelation to transport behavior.Features research on the crucia.This proceedings volume examines the effects of transport on socio-economic development including innovation, public health and cultural behavior. Featuring contributions presented at the 2017 TranSopot Conference in Sopot, Poland, the enc
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發(fā)表于 2025-3-23 21:39:01 | 只看該作者
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發(fā)表于 2025-3-24 00:02:57 | 只看該作者
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發(fā)表于 2025-3-24 05:48:12 | 只看該作者
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發(fā)表于 2025-3-24 07:53:18 | 只看該作者
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發(fā)表于 2025-3-24 13:11:02 | 只看該作者
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發(fā)表于 2025-3-24 17:38:09 | 只看該作者
On Generating Nonconvex Optimization Test Problems sum-of-ratios programs where both numerators and denominators are quadratic functions. Based on the idea of P.?Calamai and L.?Vicente, we propose the procedures for constructing nonconvex test problems with quadratic functions of any dimension, where global and local solutions are known. The implem
19#
發(fā)表于 2025-3-24 22:53:10 | 只看該作者
Non-Convex Quadratic Programming Problems in Short Wave Antenna Array Optimizationde preliminary computational results. We consider problem instances for three different antenna designs including up?to 25 radiators. In the computational experiments, BARON package is compared to the gradient optimization method, applied to the unconstrained problem formulation using the penalty fu
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發(fā)表于 2025-3-25 02:28:36 | 只看該作者
Splitting Method with Adaptive Step-Sizeains the basic convergence properties but does not require any iterative step-size search procedure. It involves a simple adaptive step-size choice, which takes into account the problem behavior along the iterative sequence. The key element of this approach is a given majorant step-size sequence con
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