語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Geometric aspects of functional analysis = Israel Seminar (GAFA) 2020-2022 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Geometric aspects of functional analysis/ edited by Ronen Eldan ... [et al.].
其他題名:
Israel Seminar (GAFA) 2020-2022 /
其他作者:
Eldan, Ronen.
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
viii, 440 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Functional analysis - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-26300-2
ISBN:
9783031263002
Geometric aspects of functional analysis = Israel Seminar (GAFA) 2020-2022 /
Geometric aspects of functional analysis
Israel Seminar (GAFA) 2020-2022 /[electronic resource] :edited by Ronen Eldan ... [et al.]. - Cham :Springer International Publishing :2023. - viii, 440 p. :ill., digital ;24 cm. - Lecture notes in mathematics,v. 23271617-9692 ;. - Lecture notes in mathematics ;1943..
This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of probability measures in high dimension and the concentration of measure phenomenon. Here this phenomenon is approached from different angles, including through analysis on the Hamming cube, and via quantitative estimates in the Central Limit Theorem under thin-shell and related assumptions. Classical convexity theory plays a central role in this volume, as well as the study of geometric inequalities. These inequalities, which are somewhat in spirit of the Brunn-Minkowski inequality, in turn shed light on convexity and on the geometry of Euclidean space. Probability measures with convexity or curvature properties, such as log-concave distributions, occupy an equally central role and arise in the study of Gaussian measures and non-trivial properties of the heat flow in Euclidean spaces. Also discussed are interactions of this circle of ideas with linear programming and sampling algorithms, including the solution of a question in online learning algorithms using a classical convexity construction from the 19th century.
ISBN: 9783031263002
Standard No.: 10.1007/978-3-031-26300-2doiSubjects--Topical Terms:
787468
Functional analysis
--Congresses.
LC Class. No.: QA319 / .G46 2023
Dewey Class. No.: 515.7
Geometric aspects of functional analysis = Israel Seminar (GAFA) 2020-2022 /
LDR
:02293nam a2200325 a 4500
001
1117057
003
DE-He213
005
20230930002832.0
006
m d
007
cr nn 008maaau
008
240124s2023 sz s 0 eng d
020
$a
9783031263002
$q
(electronic bk.)
020
$a
9783031262999
$q
(paper)
024
7
$a
10.1007/978-3-031-26300-2
$2
doi
035
$a
978-3-031-26300-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA319
$b
.G46 2023
072
7
$a
PBKF
$2
bicssc
072
7
$a
MAT037000
$2
bisacsh
072
7
$a
PBKF
$2
thema
082
0 4
$a
515.7
$2
23
090
$a
QA319
$b
.G345 2023
245
1 0
$a
Geometric aspects of functional analysis
$h
[electronic resource] :
$b
Israel Seminar (GAFA) 2020-2022 /
$c
edited by Ronen Eldan ... [et al.].
260
$a
Cham :
$c
2023.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
viii, 440 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in mathematics,
$x
1617-9692 ;
$v
v. 2327
520
$a
This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of probability measures in high dimension and the concentration of measure phenomenon. Here this phenomenon is approached from different angles, including through analysis on the Hamming cube, and via quantitative estimates in the Central Limit Theorem under thin-shell and related assumptions. Classical convexity theory plays a central role in this volume, as well as the study of geometric inequalities. These inequalities, which are somewhat in spirit of the Brunn-Minkowski inequality, in turn shed light on convexity and on the geometry of Euclidean space. Probability measures with convexity or curvature properties, such as log-concave distributions, occupy an equally central role and arise in the study of Gaussian measures and non-trivial properties of the heat flow in Euclidean spaces. Also discussed are interactions of this circle of ideas with linear programming and sampling algorithms, including the solution of a question in online learning algorithms using a classical convexity construction from the 19th century.
650
0
$a
Functional analysis
$v
Congresses.
$3
787468
650
0
$a
Functional differential equations
$x
Asymptotic theory
$v
Congresses.
$3
884255
650
1 4
$a
Functional Analysis.
$3
672166
650
2 4
$a
Convex and Discrete Geometry.
$3
672138
650
2 4
$a
Probability Theory.
$3
1366244
700
1
$a
Eldan, Ronen.
$3
1430644
710
2
$a
SpringerLink (Online service)
$3
593884
711
2
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in mathematics ;
$v
1943.
$3
882220
856
4 0
$u
https://doi.org/10.1007/978-3-031-26300-2
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入