找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Dynamic Optimization; Deterministic and St Karl Hinderer,Ulrich Rieder,Michael Stieglitz Textbook 2016 Springer International Publishing AG

[復制鏈接]
樓主: expenditure
21#
發(fā)表于 2025-3-25 03:27:33 | 只看該作者
22#
發(fā)表于 2025-3-25 10:46:07 | 只看該作者
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 ..
23#
發(fā)表于 2025-3-25 14:10:44 | 只看該作者
24#
發(fā)表于 2025-3-25 16:37:29 | 只看該作者
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.
25#
發(fā)表于 2025-3-25 23:26:33 | 只看該作者
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.
26#
發(fā)表于 2025-3-26 03:47:12 | 只看該作者
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.
27#
發(fā)表于 2025-3-26 06:13:27 | 只看該作者
28#
發(fā)表于 2025-3-26 11:14:00 | 只看該作者
29#
發(fā)表于 2025-3-26 15:16:12 | 只看該作者
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.
30#
發(fā)表于 2025-3-26 17:28:36 | 只看該作者
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.
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 14:26
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
滦平县| 洪洞县| 南城县| 张北县| 虹口区| 淄博市| 辽阳县| 富宁县| 亳州市| 五原县| 南和县| 弥勒县| 连平县| 威信县| 麻江县| 博客| 甘德县| 宿迁市| 曲阳县| 大竹县| 新竹县| 三亚市| 禹州市| 鸡泽县| 察隅县| 获嘉县| 黄陵县| 泰来县| 夏邑县| 洞口县| 和田县| 吉林市| 富顺县| 保定市| 博乐市| 仙居县| 光泽县| 铁岭市| 安新县| 酉阳| 惠州市|