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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Add to basketCondition: Very Good. Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, content unread as new.
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 3 working days. 171.
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Add to basketPaperback. Condition: Brand New. 92 pages. 9.10x6.20x0.60 inches. In Stock.
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Add to basketCondition: New. Inhaltsverzeichnis1: The Future is Bright. and Driverless 2: The Building Blocks 3: The Building Blocks 4: Formulating and Solving Multi-Vehicle Motion Planning Problems 5: Observations and Design Considerations. A Time-Optimal co.
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Add to basketPaperback. Condition: Brand New. 92 pages. 9.10x6.20x0.60 inches. In Stock. This item is printed on demand.
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Real world Multi-Vehicle Motion Planning (MVMP) problems require the optimization of suitable performance measures under an array of complex and challenging constraints involving kinematics, dynamics, collision avoidance, and communication connectivity. The general MVMP problem is thus formulated as a Mathematical Programming (Optimization) problem. This book presents a Mathematical Programming (MP) framework that captures the salient features of the general MVMP problem. To demonstrate the use of MP for the formulation and solution of MVMP problems, it examines in detail four representative works and summarizes several other related ones. Following this conceptual discussion, it provides a step-by-step demonstration of how to formulate, solve, and experimentally validate an MP problem that represents a MVMP. Finally, it discusses the advantages, technical challenges, and limitations of this framework.As solution algorithms and their implementations in solvers continue to develop, it is anticipated that MP solution techniques will be applied to an increasing number of MVMP problems. The framework, formulations, and experimental approach presented here may serve as a guide for future MVMP research.
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Add to basketCondition: New. Print on Demand pp. 92 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Add to basketCondition: New. PRINT ON DEMAND pp. 92 Acknowledgements.