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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 244 Illus.

235 mm x 155 mm, 369 g. XIII, 228 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Probability and Its Appliations. Sprache: Englisch.

XIII, 228 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped/gestempelt. Probability and Its Applications Sprache: Englisch.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover/Pappeinband. Zustand: Wie neu. 252 pages with 16 ill. Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 620.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9781852338688.

Zustand: New. pp. 280.

Karton. Zustand: Sehr gut. Zust: Gutes Exemplar. Mit original Schutzumschlag. X, 550 S. Englisch 880g.

Taschenbuch. Zustand: Neu. Neuware -A problem of broad interest - the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) - is covered in this book. In particular, it studies a subset of the general problem, taking some approaches that have, up till now, only appeared largely in the Chinese literature.Eigenvalues, Inequalities and Ergodic Theory serves as an introduction to this developing field, and provides an overview of the methods used in an accessible and concise manner.Each chapter starts with a summary and, in order to appeal to non-specialists, ideas are introduced through simple examples rather than technical proofs. In the latter chapters readers are introduced to problems and application areas, including stochastic models of economy.Intended for researchers, graduates and postgraduates in probability theory, Markov processes, mathematical physics and spectrum theory, this book will be a welcome introduction to a growing area of research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.

Gebunden. Zustand: New. First and only book to make this research available in the westConcise and accessible: proofs and other technical matters are kept to a minimum to help the non-specialist Each chapter is self-contained to make the book easy-to-use.

Hardcover. Zustand: Brand New. 280 pages. 9.00x6.00x0.63 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A problem of broad interest - the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) - is covered in this book. In particular, it studies a subset of the general problem, taking some approaches that have, up till now, only appeared largely in the Chinese literature. Eigenvalues, Inequalities and Ergodic Theory serves as an introduction to this developing field, and provides an overview of the methods used in an accessible and concise manner. Each chapter starts with a summary and, in order to appeal to non-specialists, ideas are introduced through simple examples rather than technical proofs. In the latter chapters readers are introduced to problems and application areas, including stochastic models of economy. Intended for researchers, graduates and postgraduates in probability theory, Markov processes, mathematical physics and spectrum theory, this book will be a welcome introduction to a growing area of research.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts - Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and studying.In the part on Markov chains, the focus is on the ergodicity. By using the minimal nonnegative solution method, we deal with the recurrence and various types of ergodicity. This is done step by step, from finite state spaces to denumerable state spaces, and from discrete time to continuous time. The methods of proofs adopt modern techniques, such as coupling and duality methods. Some very new results are included, such as the estimate of the spectral gap. The structure and proofs in the first part are rather different from other existing textbooks on Markov chains.In the part on stochastic analysis, we cover the martingale theory and Brownian motions, the stochastic integral and stochastic differential equations with emphasis on one dimension, and the multidimensional stochastic integral and stochastic equation based on semimartingales. We introduce three important topics here: the Feynman-Kac formula, random time transform and Girsanov transform. As an essential application of the probability theory in classical mathematics, we also deal with the famous Brunn-Minkowski inequality in convex geometry.This book also features modern probability theory that is used in different fields, such as MCMC, or even deterministic areas: convex geometry and number theory. It provides a new and direct routine for students going through the classical Markov chains to the modern stochastic analysis.

Buch. Zustand: Neu. Neuware - A problem of broad interest - the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) - is covered in this book. In particular, it studies a subset of the general problem, taking some approaches that have, up till now, only appeared largely in the Chinese literature. Eigenvalues, Inequalities and Ergodic Theory serves as an introduction to this developing field, and provides an overview of the methods used in an accessible and concise manner. Each chapter starts with a summary and, in order to appeal to non-specialists, ideas are introduced through simple examples rather than technical proofs. In the latter chapters readers are introduced to problems and application areas, including stochastic models of economy. Intended for researchers, graduates and postgraduates in probability theory, Markov processes, mathematical physics and spectrum theory, this book will be a welcome introduction to a growing area of research.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Soft cover. Zustand: Fine. No Jacket. 1 v. (unpaged) : ill. ; 27 cm. ; Sale code: 6027 QICHANG/ Place of sale: New York ; OCLC: 477122841 ; color photographic stiff paper wrappers ; prices realized laid in ; features works by Zhao Mengfu, Jie Jisi, Ni Zan, hu Tinghui, Zheng Yuanyou, Dai Jin, Shen Zhou, Wu Wei, Tang Yin, Zhu Yunming, Wen Zhengming, Chen Shun, Qiu Ying, Qian Gu, Yu Yuanlun, Fan Dongming, Dong Qichang, Chen Jiru, Qian Gong, Huang Biao, Guan Si, Zhang Ruitu, Wang Duo, Lan Ying, Huang Xiangjian, Wang Jian, Xie Bin, Gao Cen, Li Yin, Mei Qing, Da Chongguang, Lai Jing, Zha Shibiao, Sheng Maojun, Zhang Qi, Wu Hong, Ma Quan, Qin Ji, Ye Xin, Fu Shan, Huang Daoqian, Jiang Shijie, Luo Mu, Fa Rouzhen, Wang Hui, Ma Yuanyu, Li Shan, Jiao Bingzhen, Wang Gang, ao Qipei, Jiang Tingxi, Hua Yan, Jin Nong, Zhang Ruoai, Zheng Xie, Huang Shen, Zhang Ruocheng, Dong Bangda, Wang Chen, Qian Feng, Yuan Ying, Fang Xun, Luo Ping, Pan Gongshou, Jiang Wenzai, Sun Shigao, Xi Gang, Tie Bao, Yuan Pei, Zhai Jichang, Weng Luo, Zhu Haonian, Shen Rong, Tang Yifen, Mao Zhou, Qu Yingshao, Su Renshan, Dai Xi, He Shaoji, Su Liupeng, Peng Yulin, Ren Yi, Wu Changshuo, Gu Linshi, Zeng Xi, Qi Baishi, Pu Ru, Pu Jin, Fu Baoshi, Feng Zhikai, Ding Yanyon, Zhang DaiqianLin FengmianWang Kangle, He Haixia, Xu Zhe, Li Xiongcai, Wu Guanzhong, Zhang Shoucheng, Cheng Shifa ; FINE. Book.

Hardcover. Zustand: Near Fine. Zustand des Schutzumschlags: VG+. 550 pages in excellent condition. Purple hardcovers with gilt titles on the spine. Bottom corners lightly bumped. Green DJ with white titles. Spine faded, very light wear on corners and edges. NEAR FINE/VG+. Book.