標題: Titlebook: Dynamic Optimization; Deterministic and St Karl Hinderer,Ulrich Rieder,Michael Stieglitz Textbook 2016 Springer International Publishing AG [打印本頁] 作者: expenditure 時間: 2025-3-21 19:47
書目名稱Dynamic Optimization影響因子(影響力)
書目名稱Dynamic Optimization影響因子(影響力)學(xué)科排名
書目名稱Dynamic Optimization網(wǎng)絡(luò)公開度
書目名稱Dynamic Optimization網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Dynamic Optimization被引頻次
書目名稱Dynamic Optimization被引頻次學(xué)科排名
書目名稱Dynamic Optimization年度引用
書目名稱Dynamic Optimization年度引用學(xué)科排名
書目名稱Dynamic Optimization讀者反饋
書目名稱Dynamic Optimization讀者反饋學(xué)科排名
作者: Lumbar-Spine 時間: 2025-3-21 21:15 作者: ARCHE 時間: 2025-3-22 04:03 作者: Incorporate 時間: 2025-3-22 05:45 作者: 驕傲 時間: 2025-3-22 12:43 作者: 溫和女人 時間: 2025-3-22 13:43 作者: 溫和女人 時間: 2025-3-22 19:44 作者: Tremor 時間: 2025-3-23 00:11
978-3-319-48813-4Springer International Publishing AG 2016作者: 胎兒 時間: 2025-3-23 02:00 作者: 顛簸下上 時間: 2025-3-23 06:55
Potential und M?glichkeiten von WasserstoffWe present the basic theorems for cost minimization and for DPs with an absorbing set of states. We also prove the basic theorem using reachable states. The important notion of a bounding function is introduced.作者: 形容詞 時間: 2025-3-23 12:29 作者: 半球 時間: 2025-3-23 14:55 作者: 紡織品 時間: 2025-3-23 20:47
Einleitung: Mensch, Gehirn und Wissenschaft,Here we deal with the following questions, assuming that the functions under consideration are defined on convex sets or on a non-degenerate discrete interval.作者: 品牌 時間: 2025-3-23 22:10 作者: Offstage 時間: 2025-3-24 02:25
,?,In this book we prefer to place more emphasis, at least from the conceptual point of view, on . than on DP.. There are a number of reasons for our approach. We present the general theory for . and discuss the optimality equation (Bellman equation) for the limit value function. DPs with infinite horizon are also considered.作者: 放氣 時間: 2025-3-24 09:05 作者: 跑過 時間: 2025-3-24 11:39
,?,Firstly we introduce MDPs with finite state spaces, prove the reward iteration and derive the basic solution techniques: value iteration and optimality criterion. Then MDPs with finite transition law are considered. There the set of reachable states is finite.作者: 無價值 時間: 2025-3-24 18:42
,?,In this chapter we investigate several examples and models with finite transition law: an allocation problem with random investment, an inventory problem, MDPs with an absorbing set of states, MDPs with random initial state, stopping problems and terminating MDPs. Finally, stationary MDPs are generalized to non-stationary MDPs.作者: 廣大 時間: 2025-3-24 22:53
,?,We consider MDPs with countable state spaces and variable discount factors. The discount factor may depend on the state and the action. Under minimal assumptions we prove the reward iteration and formulate a structure theorem for MDPs. Also the useful notion of a bounding function is introduced.作者: paradigm 時間: 2025-3-24 23:51
,?,In this chapter we apply the general theorems from Chap.?. to special examples. In particular, we consider a production-inventory problem with backlogging and delivery lag and a queueing model with arrival control.作者: lymphedema 時間: 2025-3-25 03:27 作者: Prostaglandins 時間: 2025-3-25 10:46
Introduction and Organization of the Book,In this treatise we deal with optimization problems whose objective functions show a sequential structure and hence are amenable to sequential methods. The corresponding field mostly goes by the name .. Other names are . and .. In order to avoid possible confusion with programming in computer science we speak of ..作者: 投票 時間: 2025-3-25 14:10 作者: 規(guī)章 時間: 2025-3-25 16:37
Examples of Deterministic Dynamic ProgramsIn this chapter we explicitly solve the following: optimal routing of a freighter, a production-inventory problem with linear costs, allocation and linear-quadratic problems and a scheduling problem. Then we discuss some further models: DPs with random length of periods and with random termination.作者: 螢火蟲 時間: 2025-3-25 23:26
Absorbing Dynamic Programs and Acyclic NetworksWe study the problem of maximizing the sum of discounted rewards, earned not over a fixed number of periods, but until the decision process enters a given absorbing set. The basic theorem for absorbing DPs is derived. Moreover, we show how absorbing DPs can be used to find cost-minimal subpaths in acyclic networks.作者: OFF 時間: 2025-3-26 03:47
Concavity and Convexity of the Value FunctionsHere we deal with the following questions, assuming that the functions under consideration are defined on convex sets or on a non-degenerate discrete interval.作者: FANG 時間: 2025-3-26 06:13 作者: 攝取 時間: 2025-3-26 11:14 作者: BLANK 時間: 2025-3-26 15:16
Control Models with DisturbancesIn this chapter we introduce control models with finite and i.i.d. disturbances. We prove the reward iteration and derive the basic solution techniques: value iteration and optimality criterion.作者: 易改變 時間: 2025-3-26 17:28
Markovian Decision Processes with Finite Transition LawFirstly we introduce MDPs with finite state spaces, prove the reward iteration and derive the basic solution techniques: value iteration and optimality criterion. Then MDPs with finite transition law are considered. There the set of reachable states is finite.作者: 空氣 時間: 2025-3-26 22:44 作者: creatine-kinase 時間: 2025-3-27 04:23
Markovian Decision Processes with Discrete Transition LawWe consider MDPs with countable state spaces and variable discount factors. The discount factor may depend on the state and the action. Under minimal assumptions we prove the reward iteration and formulate a structure theorem for MDPs. Also the useful notion of a bounding function is introduced.作者: 失敗主義者 時間: 2025-3-27 08:53
Examples with Discrete Disturbances and with Discrete Transition LawIn this chapter we apply the general theorems from Chap.?. to special examples. In particular, we consider a production-inventory problem with backlogging and delivery lag and a queueing model with arrival control.作者: foreign 時間: 2025-3-27 12:01 作者: jaunty 時間: 2025-3-27 14:32
Dynamic Optimization978-3-319-48814-1Series ISSN 0172-5939 Series E-ISSN 2191-6675 作者: lymphedema 時間: 2025-3-27 18:21 作者: grandiose 時間: 2025-3-28 00:49 作者: 充滿人 時間: 2025-3-28 04:51
https://doi.org/10.1007/978-3-642-61538-2scription of the general problem, and derive the basic solution technique: value iteration and optimality criterion. This allows us to derive structural properties of the solution of the allocation problem.作者: 淡紫色花 時間: 2025-3-28 08:39
Die Neuronenmaschinerie des Gehirns,of considerable importance. Here we study the monotonicity of ..(.) in . and, with arbitrary relations on ., also in .. Examples of structural properties considered in later sections are concavity and Lipschitz continuity of the value function. As a first benefit of each structural result it can ser作者: 公豬 時間: 2025-3-28 13:00
,?,al states .) can be established by ad hoc methods. The existence of a maximizer at each stage is also obvious if the set .(.) of admissible actions is finite for all .. In Proposition?. we gave a result which covers many applications where . and . are intervals. The existence problem for maximizers 作者: 炸壞 時間: 2025-3-28 15:21 作者: DNR215 時間: 2025-3-28 20:59 作者: conifer 時間: 2025-3-28 22:55
Universitexthttp://image.papertrans.cn/e/image/283688.jpg作者: curriculum 時間: 2025-3-29 05:08 作者: hemophilia 時間: 2025-3-29 10:18
Models with Arbitrary Transition Lawinimal assumptions we state the reward iteration and the structure theorem. Binary MDPs and continuous versions of examples illustrate the results. A useful generalization of MDPs are MDPs with random environment. The random environment (such as economic factors) evolves within a set of states as an uncontrolled Markov chain.作者: Rejuvenate 時間: 2025-3-29 14:33 作者: Interlocking 時間: 2025-3-29 18:42 作者: Harridan 時間: 2025-3-29 23:28
The Stationary Deterministic Model and the Basic Solution Procedurescription of the general problem, and derive the basic solution technique: value iteration and optimality criterion. This allows us to derive structural properties of the solution of the allocation problem.作者: 魯莽 時間: 2025-3-30 00:21
Monotonicity of the Value Functionsof considerable importance. Here we study the monotonicity of ..(.) in . and, with arbitrary relations on ., also in .. Examples of structural properties considered in later sections are concavity and Lipschitz continuity of the value function. As a first benefit of each structural result it can ser作者: 陪審團每個人 時間: 2025-3-30 05:16 作者: Acetaminophen 時間: 2025-3-30 10:58
Models with Arbitrary Transition Lawinimal assumptions we state the reward iteration and the structure theorem. Binary MDPs and continuous versions of examples illustrate the results. A useful generalization of MDPs are MDPs with random environment. The random environment (such as economic factors) evolves within a set of states as an作者: attenuate 時間: 2025-3-30 13:02
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