HEED
发表于 2025-3-25 06:49:20
Rene B. Svensson,Christian Couppé,S. Peter Magnussoninear Systems. will be a valuable reference for graduate students, control theorists working on optimal control systems, engineers, and applied mathematicians..978-3-031-15860-5978-3-031-15858-2Series ISSN 2373-7719 Series E-ISSN 2373-7727
faultfinder
发表于 2025-3-25 09:19:50
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musicologist
发表于 2025-3-25 14:16:42
Riaz Akhtar,Brian Derbybroad range of application of methods from discrete optimiza.This book introduces the advances in synchromodal logistics and provides a framework to classify various optimisation problems in this field. It explores the application of this framework to solve a broad range of problems, such as problem
自作多情
发表于 2025-3-25 16:41:45
Michael A. Adamsbroad range of application of methods from discrete optimiza.This book introduces the advances in synchromodal logistics and provides a framework to classify various optimisation problems in this field. It explores the application of this framework to solve a broad range of problems, such as problem
concert
发表于 2025-3-25 21:32:32
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iodides
发表于 2025-3-26 01:08:47
Yingxin Gao,Matt Leineweberin a chemical reactions.Provides pedagogical elements such aThis textbook is intended for undergraduate and graduate students pursuing courses in chemistry and allied fields. It includes fundamental concepts, equations involved in organic reactions, chemical bonds (ionic and covalent bonds), hybridi
acetylcholine
发表于 2025-3-26 07:28:47
Béla Suki,Erzsébet Bartolák-Sukirbance rejections, control constraints, and time delays.IncoThis monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor
MIRE
发表于 2025-3-26 08:34:20
Rene B. Svensson,Christian Couppé,S. Peter Magnussonrbance rejections, control constraints, and time delays.IncoThis monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor
Diastole
发表于 2025-3-26 14:31:06
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灯泡
发表于 2025-3-26 20:36:36
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