Mathematical theory of advanced computing:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English German |
| Veröffentlicht: |
Berlin, Germany
Springer Vieweg
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | ix, 112 Seiten Illustrationen (teilweise farbig) 22 cm, 356 g |
| ISBN: | 9783662603581 3662603586 |
Internformat
MARC
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| 240 | 1 | 0 | |a Mathematische Algorithmen und Computer-Performance kompakt |
| 245 | 1 | 0 | |a Mathematical theory of advanced computing |c Wolfgang W. Osterhage |
| 264 | 1 | |a Berlin, Germany |b Springer Vieweg |c [2020] | |
| 300 | |a ix, 112 Seiten |b Illustrationen (teilweise farbig) |c 22 cm, 356 g | ||
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Datensatz im Suchindex
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|---|---|
| adam_text | CONTENTS
1
INTRODUCTION
................................................................................................
1
1.1
TERMINOLOGY
......................................................................................
2
1.2
THREE
LEVELS
.....................................................................................
2
2
PERFORMANCE
THEORY
.................................................................................
7
2.1
SYSTEM
PERFORMANCE
........................................................................
7
2.1.1
HARDWARE
PARAMETERS
...........................................................
8
2.1.2
CPU
......................................................................................
14
2.1.3
MAIN
MEMORY
......................................................................
19
2.1.4
DISKS
.....................................................................................
24
2.1.5
I/O
.........................................................................................
26
2.1.6
OPERATING
SYSTEM
PARAMETERS
..............................................
29
2.2
APPLICATION
PERFORMANCE
.................................................................
30
2.2.1
APPLICATION
PARAMETERS
.......................................................
30
BIBLIOGRAPHY
................................................................................................
32
3
TEST-AUTOMATIZATION
..................................................................................
33
3.1
INTRODUCTION
......................................................................................
33
3.2
WHY
AUTOMATISATION?
......................................................................
33
3.3
COMPARISON
BETWEEN
MANUAL
AND
AUTOMATED
TESTING
.................
37
3.4
SYMBOLIC
EXECUTION
.........................................................................
38
3.4.1
CHALLENGES
AND
SOLUTIONS
....................................................
40
3.4.2
TOOLS
.....................................................................................
41
3.5
SEARCH-BASED
AUTOMATED
STRUCTURAL
TESTING
..................................
42
3.5.1
GENETIC
ALGORITHM
...............................................................
42
3.5.2
LIMITS
...................................................................................
43
3.6
COMBINATION
OF
SE
AND
SB
ST
........................................................
44
3.7
CONCLUSION
........................................................................................
44
BIBLIOGRAPHY
................................................................................................
45
VII
VIII
CONTENTS
4
PRESERVATION
NUMBERS:
A
NEW
APPROACH
IN
SOFT
COMPUTING
............
47
4.1
INTRODUCTION
.......................................................................................
47
4.2
CALCULATIONS
AND
OBSERVATIONS
........................................................
48
4.3
THE
ECONOMY
OF
CALCULATIONS
.........................................................
49
4.4
PRESERVATION
NUMBERS
......................................................................
50
4.5
DEFINITIONS
.........................................................................................
50
4.5.1
ACCURACY
...............................................................................
50
4.5.2
EFFICIENCY
..............................................................................
51
4.6
RELATIONSHIPS
.....................................................................................
52
4.6.1
ACCURACY
AND
EFFICIENCY
......................................................
52
4.6.2
ACCURACY,
EFFICIENCY
AND
PRESERVATION
NUMBERS
..............
53
4.7
EXAMPLES
...........................................................................................
54
4.8
CHAINS
OF
CALCULATIONS
.....................................................................
54
4.9
LOGIC
..................................................................................................
55
4.10
APPLICATIONS
......................................................................................
56
APPENDIX
.......................................................................................................
58
REFERENCES
.....................................................................................................
61
5
JUMP
TRANSFORMATIONS
..............................................................................
63
5.1
INTRODUCTION
.......................................................................................
63
5.2
JUMP
TRANSFORMATIONS
......................................................................
64
5.3
N-TUPLE
TRANSFORMATIONS
..................................................................
64
5.3.1
DEFINITIONS
AND
RULES
...........................................................
65
5.3.2
CHARACTERISTICS
......................................................................
66
5.3.3
FORMALIZATIONS
......................................................................
67
5.3.4
EXAMPLES
...............................................................................
68
5.3.5
INTER-RELATIONSHIPS
.................................................................
70
5.4
RANDOM
TRIGGER
TRANSFORMATIONS
...................................................
72
5.4.1
DEFINITIONS
AND
RULES
...........................................................
72
5.4.2
EXAMPLE
................................................................................
73
5.5
INTER-TRANSFORMATIONS
........................................................................
73
5.5.1
INTER-RELATIONSHIPS
BETWEEN
TWO
RANDOM
TRIGGERS
..........
73
5.5.2
TRANSFORMATION
BETWEEN
N-TUPLE
AND
RANDOM
TRIGGERS
...
75
5.6
APPLICATIONS
......................................................................................
75
5.6.1
SETS
AND
ADDRESS
SPACES
.....................................................
75
5.6.2
CRYPTOGRAPHY
........................................................................
76
5.6.3
COMPUTER
ART
........................................................................
77
5.6.4
OTHER
.....................................................................................
78
APPENDIX
......................................................................................................
79
REFERENCE
......................................................................................................
86
CONTENTS
IX
6
DATA
MANAGEMENT
......................................................................................
87
6.1
ARTIFICIAL
NEURAL
NETWORKS
...............................................................
87
6.1.1
INTRODUCTION
..........................................................................
87
6.1.2
THE
MODEL
FOR
ARTIFICIAL
NEURAL
NETWORKS
.........................
87
6.1.3
APPLICATIONS
.........................................................................
89
6.1.4
RELIABILITY
.............................................................................
90
6.1.5
MULTI-LAYER
NEURAL
NETWORKS
..............................................
90
6.2
DATA
MANAGEMENT
CONCEPTS
............................................................
91
6.2.1
TECHNICAL
CONDITIONS
...........................................................
93
6.2.2
ACCESSES
...............................................................................
96
6.3
KNOWLEDGE
BASES
AND
NEURONAL
TOOLS
...........................................
97
6.3.1
INTRODUCTION
..........................................................................
97
6.3.2
KNOWLEDGE
BASES
AND
AL
....................................................
97
6.3.3
ADVANCED
OPTIONS
FOR
DATA
BASE
MANAGEMENT
................
98
6.3.4
CONCLUSION
...........................................................................
101
7
QUANTUM
COMPUTERS
...................................................................................
103
7.1
WHAT
IS
INTELLIGENCE?
........................................................................
103
7.2
QUANTUM
COMPUTERS
........................................................................
105
7.3
IMPLEMENTATION
.................................................................................
106
7.4
INTELLIGENCE
OF
QUANTUM
SYSTEMS
...................................................
107
INDEX
.....................................................................................................................
109
|
| adam_txt |
CONTENTS
1
INTRODUCTION
.
1
1.1
TERMINOLOGY
.
2
1.2
THREE
LEVELS
.
2
2
PERFORMANCE
THEORY
.
7
2.1
SYSTEM
PERFORMANCE
.
7
2.1.1
HARDWARE
PARAMETERS
.
8
2.1.2
CPU
.
14
2.1.3
MAIN
MEMORY
.
19
2.1.4
DISKS
.
24
2.1.5
I/O
.
26
2.1.6
OPERATING
SYSTEM
PARAMETERS
.
29
2.2
APPLICATION
PERFORMANCE
.
30
2.2.1
APPLICATION
PARAMETERS
.
30
BIBLIOGRAPHY
.
32
3
TEST-AUTOMATIZATION
.
33
3.1
INTRODUCTION
.
33
3.2
WHY
AUTOMATISATION?
.
33
3.3
COMPARISON
BETWEEN
MANUAL
AND
AUTOMATED
TESTING
.
37
3.4
SYMBOLIC
EXECUTION
.
38
3.4.1
CHALLENGES
AND
SOLUTIONS
.
40
3.4.2
TOOLS
.
41
3.5
SEARCH-BASED
AUTOMATED
STRUCTURAL
TESTING
.
42
3.5.1
GENETIC
ALGORITHM
.
42
3.5.2
LIMITS
.
43
3.6
COMBINATION
OF
SE
AND
SB
ST
.
44
3.7
CONCLUSION
.
44
BIBLIOGRAPHY
.
45
VII
VIII
CONTENTS
4
PRESERVATION
NUMBERS:
A
NEW
APPROACH
IN
SOFT
COMPUTING
.
47
4.1
INTRODUCTION
.
47
4.2
CALCULATIONS
AND
OBSERVATIONS
.
48
4.3
THE
ECONOMY
OF
CALCULATIONS
.
49
4.4
PRESERVATION
NUMBERS
.
50
4.5
DEFINITIONS
.
50
4.5.1
ACCURACY
.
50
4.5.2
EFFICIENCY
.
51
4.6
RELATIONSHIPS
.
52
4.6.1
ACCURACY
AND
EFFICIENCY
.
52
4.6.2
ACCURACY,
EFFICIENCY
AND
PRESERVATION
NUMBERS
.
53
4.7
EXAMPLES
.
54
4.8
CHAINS
OF
CALCULATIONS
.
54
4.9
LOGIC
.
55
4.10
APPLICATIONS
.
56
APPENDIX
.
58
REFERENCES
.
61
5
JUMP
TRANSFORMATIONS
.
63
5.1
INTRODUCTION
.
63
5.2
JUMP
TRANSFORMATIONS
.
64
5.3
N-TUPLE
TRANSFORMATIONS
.
64
5.3.1
DEFINITIONS
AND
RULES
.
65
5.3.2
CHARACTERISTICS
.
66
5.3.3
FORMALIZATIONS
.
67
5.3.4
EXAMPLES
.
68
5.3.5
INTER-RELATIONSHIPS
.
70
5.4
RANDOM
TRIGGER
TRANSFORMATIONS
.
72
5.4.1
DEFINITIONS
AND
RULES
.
72
5.4.2
EXAMPLE
.
73
5.5
INTER-TRANSFORMATIONS
.
73
5.5.1
INTER-RELATIONSHIPS
BETWEEN
TWO
RANDOM
TRIGGERS
.
73
5.5.2
TRANSFORMATION
BETWEEN
N-TUPLE
AND
RANDOM
TRIGGERS
.
75
5.6
APPLICATIONS
.
75
5.6.1
SETS
AND
ADDRESS
SPACES
.
75
5.6.2
CRYPTOGRAPHY
.
76
5.6.3
COMPUTER
ART
.
77
5.6.4
OTHER
.
78
APPENDIX
.
79
REFERENCE
.
86
CONTENTS
IX
6
DATA
MANAGEMENT
.
87
6.1
ARTIFICIAL
NEURAL
NETWORKS
.
87
6.1.1
INTRODUCTION
.
87
6.1.2
THE
MODEL
FOR
ARTIFICIAL
NEURAL
NETWORKS
.
87
6.1.3
APPLICATIONS
.
89
6.1.4
RELIABILITY
.
90
6.1.5
MULTI-LAYER
NEURAL
NETWORKS
.
90
6.2
DATA
MANAGEMENT
CONCEPTS
.
91
6.2.1
TECHNICAL
CONDITIONS
.
93
6.2.2
ACCESSES
.
96
6.3
KNOWLEDGE
BASES
AND
NEURONAL
TOOLS
.
97
6.3.1
INTRODUCTION
.
97
6.3.2
KNOWLEDGE
BASES
AND
AL
.
97
6.3.3
ADVANCED
OPTIONS
FOR
DATA
BASE
MANAGEMENT
.
98
6.3.4
CONCLUSION
.
101
7
QUANTUM
COMPUTERS
.
103
7.1
WHAT
IS
INTELLIGENCE?
.
103
7.2
QUANTUM
COMPUTERS
.
105
7.3
IMPLEMENTATION
.
106
7.4
INTELLIGENCE
OF
QUANTUM
SYSTEMS
.
107
INDEX
.
109 |
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| author | Osterhage, Wolfgang W. 1948- |
| author_GND | (DE-588)132702363 |
| author_facet | Osterhage, Wolfgang W. 1948- |
| author_role | aut |
| author_sort | Osterhage, Wolfgang W. 1948- |
| author_variant | w w o ww wwo |
| building | Verbundindex |
| bvnumber | BV046866926 |
| classification_rvk | ST 134 |
| ctrlnum | (OCoLC)1113409628 (DE-599)DNB1192835204 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV046866926 |
| illustrated | Illustrated |
| index_date | 2024-07-03T15:14:32Z |
| indexdate | 2024-07-10T08:56:00Z |
| institution | BVB |
| isbn | 9783662603581 3662603586 |
| language | English German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032275487 |
| oclc_num | 1113409628 |
| open_access_boolean | |
| owner | DE-83 DE-11 |
| owner_facet | DE-83 DE-11 |
| physical | ix, 112 Seiten Illustrationen (teilweise farbig) 22 cm, 356 g |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer Vieweg |
| record_format | marc |
| spelling | Osterhage, Wolfgang W. 1948- Verfasser (DE-588)132702363 aut Mathematische Algorithmen und Computer-Performance kompakt Mathematical theory of advanced computing Wolfgang W. Osterhage Berlin, Germany Springer Vieweg [2020] ix, 112 Seiten Illustrationen (teilweise farbig) 22 cm, 356 g txt rdacontent n rdamedia nc rdacarrier Soft Computing (DE-588)4455833-8 gnd rswk-swf Automatisches Prüfen (DE-588)4269925-3 gnd rswk-swf Speicherverwaltung (DE-588)4182146-4 gnd rswk-swf Leistungssteigerung (DE-588)4167306-2 gnd rswk-swf Software Engineering (DE-588)4116521-4 gnd rswk-swf Rechenzeit (DE-588)4228493-4 gnd rswk-swf Anwendungssoftware (DE-588)4120906-0 gnd rswk-swf Datensicherung (DE-588)4011144-1 gnd rswk-swf Leistungsbewertung (DE-588)4167271-9 gnd rswk-swf Sprungfunktion (DE-588)4280353-6 gnd rswk-swf Leistungsbewertung (DE-588)4167271-9 s Leistungssteigerung (DE-588)4167306-2 s Automatisches Prüfen (DE-588)4269925-3 s Speicherverwaltung (DE-588)4182146-4 s Soft Computing (DE-588)4455833-8 s Sprungfunktion (DE-588)4280353-6 s Rechenzeit (DE-588)4228493-4 s DE-604 Datensicherung (DE-588)4011144-1 s Software Engineering (DE-588)4116521-4 s Anwendungssoftware (DE-588)4120906-0 s Erscheint auch als Druck-Ausgabe 9783662603611 Erscheint auch als Online-Ausgabe 978-3-662-60359-8 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=557be0bd11a646a78cbb1633e0c1b639&prov=M&dok_var=1&dok_ext=htm Inhaltstext B:DE-101 application/pdf https://d-nb.info/1192835204/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032275487&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Osterhage, Wolfgang W. 1948- Mathematical theory of advanced computing Soft Computing (DE-588)4455833-8 gnd Automatisches Prüfen (DE-588)4269925-3 gnd Speicherverwaltung (DE-588)4182146-4 gnd Leistungssteigerung (DE-588)4167306-2 gnd Software Engineering (DE-588)4116521-4 gnd Rechenzeit (DE-588)4228493-4 gnd Anwendungssoftware (DE-588)4120906-0 gnd Datensicherung (DE-588)4011144-1 gnd Leistungsbewertung (DE-588)4167271-9 gnd Sprungfunktion (DE-588)4280353-6 gnd |
| subject_GND | (DE-588)4455833-8 (DE-588)4269925-3 (DE-588)4182146-4 (DE-588)4167306-2 (DE-588)4116521-4 (DE-588)4228493-4 (DE-588)4120906-0 (DE-588)4011144-1 (DE-588)4167271-9 (DE-588)4280353-6 |
| title | Mathematical theory of advanced computing |
| title_alt | Mathematische Algorithmen und Computer-Performance kompakt |
| title_auth | Mathematical theory of advanced computing |
| title_exact_search | Mathematical theory of advanced computing |
| title_exact_search_txtP | Mathematical theory of advanced computing |
| title_full | Mathematical theory of advanced computing Wolfgang W. Osterhage |
| title_fullStr | Mathematical theory of advanced computing Wolfgang W. Osterhage |
| title_full_unstemmed | Mathematical theory of advanced computing Wolfgang W. Osterhage |
| title_short | Mathematical theory of advanced computing |
| title_sort | mathematical theory of advanced computing |
| topic | Soft Computing (DE-588)4455833-8 gnd Automatisches Prüfen (DE-588)4269925-3 gnd Speicherverwaltung (DE-588)4182146-4 gnd Leistungssteigerung (DE-588)4167306-2 gnd Software Engineering (DE-588)4116521-4 gnd Rechenzeit (DE-588)4228493-4 gnd Anwendungssoftware (DE-588)4120906-0 gnd Datensicherung (DE-588)4011144-1 gnd Leistungsbewertung (DE-588)4167271-9 gnd Sprungfunktion (DE-588)4280353-6 gnd |
| topic_facet | Soft Computing Automatisches Prüfen Speicherverwaltung Leistungssteigerung Software Engineering Rechenzeit Anwendungssoftware Datensicherung Leistungsbewertung Sprungfunktion |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=557be0bd11a646a78cbb1633e0c1b639&prov=M&dok_var=1&dok_ext=htm https://d-nb.info/1192835204/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032275487&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT osterhagewolfgangw mathematischealgorithmenundcomputerperformancekompakt AT osterhagewolfgangw mathematicaltheoryofadvancedcomputing |