Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Approximation of Euclidean metric by...
~
Mukhopadhyay, Jayanta.
Approximation of Euclidean metric by digital distances
Record Type:
Electronic resources : Monograph/item
Title/Author:
Approximation of Euclidean metric by digital distancesby Jayanta Mukhopadhyay.
Author:
Mukhopadhyay, Jayanta.
Published:
Singapore :Springer Singapore :2020.
Description:
xx, 144 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Distance geometry.
Online resource:
https://doi.org/10.1007/978-981-15-9901-9
ISBN:
9789811599019$q(electronic bk.)
Approximation of Euclidean metric by digital distances
Mukhopadhyay, Jayanta.
Approximation of Euclidean metric by digital distances
[electronic resource] /by Jayanta Mukhopadhyay. - Singapore :Springer Singapore :2020. - xx, 144 p. :ill. (some col.), digital ;24 cm.
Geometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances.
This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric. It discusses the properties of these distance functions and presents various kinds of error analysis in approximating Euclidean metrics. It also presents a historical perspective on efforts and motivation for approximating Euclidean metrics by digital distances from the mid-sixties of the previous century. The book also contains an in-depth presentation of recent progress, and new research problems in this area.
ISBN: 9789811599019$q(electronic bk.)
Standard No.: 10.1007/978-981-15-9901-9doiSubjects--Topical Terms:
663518
Distance geometry.
LC Class. No.: QA613
Dewey Class. No.: 514.3
Approximation of Euclidean metric by digital distances
LDR
:01730nmm a2200337 a 4500
001
591359
003
DE-He213
005
20201202120754.0
006
m d
007
cr nn 008maaau
008
210629s2020 si s 0 eng d
020
$a
9789811599019$q(electronic bk.)
020
$a
9789811599002$q(paper)
024
7
$a
10.1007/978-981-15-9901-9
$2
doi
035
$a
978-981-15-9901-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA613
072
7
$a
UYT
$2
bicssc
072
7
$a
COM012000
$2
bisacsh
072
7
$a
UYT
$2
thema
072
7
$a
UYQV
$2
thema
082
0 4
$a
514.3
$2
23
090
$a
QA613
$b
.M953 2020
100
1
$a
Mukhopadhyay, Jayanta.
$3
679084
245
1 0
$a
Approximation of Euclidean metric by digital distances
$h
[electronic resource] /
$c
by Jayanta Mukhopadhyay.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
xx, 144 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Geometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances.
520
$a
This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric. It discusses the properties of these distance functions and presents various kinds of error analysis in approximating Euclidean metrics. It also presents a historical perspective on efforts and motivation for approximating Euclidean metrics by digital distances from the mid-sixties of the previous century. The book also contains an in-depth presentation of recent progress, and new research problems in this area.
650
0
$a
Distance geometry.
$3
663518
650
1 4
$a
Image Processing and Computer Vision.
$3
274051
650
2 4
$a
Pattern Recognition.
$3
273706
650
2 4
$a
Functional Analysis.
$3
274845
650
2 4
$a
Discrete Mathematics in Computer Science.
$3
274791
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-15-9901-9
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000192368
電子館藏
1圖書
電子書
EB QA613 .M953 2020 2020
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-981-15-9901-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login