More information about this series at http://www.springer.com/series/7393 Boris Goldengorin Editor Optimization Problems in Graph Theory In Honor of Gregory Z. Gutin's 60th Birthday 123 Editor Boris Goldengorin
还没人写过短评呢 我要写书评 Genetic Algorithms and the Optimization Problems in Graph Theory的书评 ··· ( 全部0 条 ) 论坛 ··· 在这本书的论坛里发言 + 加入购书单 谁读这本书? ··· 二手市场 ··· 在豆瓣转让 手里有一本闲着? 订阅关于Genetic Algorithms and the Optimization...
Quantum computers provide a valuable resource to solve computational problems. The maximization of the objective function of a computational problem is a crucial problem in gate-model quantum computers. The objective function estimation is a high-cost procedure that requires several rounds of quantum com...
Section 5 discusses modeling CO problems to simplify realistic complications and reduce problem difficulties. Modeling consists of illustrating the graph theory concepts, the mathematical programming, and the constraint programming paradigms. Finally, Section 6 presents solution methods, including exact methods...
This paper studies a general form problem in which a lower bounded continuously differentiable function is minimized over a block separable set incorporating a group sparsity expression as a constraint or a penalty (or both) in the group sparsity setting. This class of problems is generally hard ...
We encourage submissions from researchers in this background to demonstrate the effectiveness of graph theory-based approaches on various benchmark datasets and real-world applications. Call for Papers: Special Issue on "Smart Optimization Methods for Engineering and Management Problems" Guest Editors: ...
Optimization in most applied problems is done according to the constraints in the field of behavior and performance of a system, such as behavioral constraints and what exists in the physics and geometry of the problem. Equations representing constraints may be equal or unequal; in each case, the...
Some of the specific problems to be addressed in this thesis on both the theory and the application of nonlinear optimization are explained below: Graph theoretic algorithms for low-rank optimization problems: There is a rapidly growing interest in the recovery of an unknown low-rank matrix from ...
slamgraph-slampose-graph-optimizationgraph-sparsificationspectral-graph-theoryalgebraic-connectivity UpdatedNov 8, 2024 Python mit-acl/dpgo_ros Star61 Code Issues Pull requests ROS wrapper for distributed pose graph optimization roboticsoptimizationrosslampose-graph-optimizationmulti-robot-systems ...
We presented a new approach to distributed optimization problems where the communication topology is given by a directed graph. Our approach is based on a two-step procedure where in a first step first we derived suitable Lie bracket representations of saddle-point dynamics and then used Lie brack...