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Information Science
Information Science
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€121.99
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A01=David G. Luenberger
Addition
Algorithm
Approximation
Author_David G. Luenberger
Bandwidth (signal processing)
Bibliography
Binary code
Binary number
Binary search tree
Binary tree
Bit
Block code
Bubble sort
Caesar cipher
Calculation
Category=GPF
Channel capacity
Cipher
Ciphertext
Commodity
Common knowledge (logic)
Conditional entropy
Conditional probability
Consideration
Consumer
Cryptography
Customer
Database
Demand curve
Digital signature
Economic surplus
Encryption
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Estimation
Expected value
Fourier series
Fourier transform
Huffman coding
Information science
Information theory
Instance (computer science)
Integer
Letter frequency
Marginal cost
Measurement
Modulation
Notation
One-time pad
Parity bit
Percentage
Pricing
Probability
Public-key cryptography
Quantity
Quicksort
Radio wave
Random variable
Ranking (information retrieval)
Requirement
Result
Shift register
Sine wave
Sorting algorithm
Special case
Spreadsheet
Subset
Substitution cipher
Summation
Theorem
Time complexity
Tuple
Value (economics)
Word (computer architecture)
Product details
- ISBN 9780691124186
- Weight: 1219g
- Dimensions: 203 x 254mm
- Publication Date: 16 Apr 2006
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
From cell phones to Web portals, advances in information and communications technology have thrust society into an information age that is far-reaching, fast-moving, increasingly complex, and yet essential to modern life. Now, renowned scholar and author David Luenberger has produced Information Science, a text that distills and explains the most important concepts and insights at the core of this ongoing revolution. The book represents the material used in a widely acclaimed course offered at Stanford University. Drawing concepts from each of the constituent subfields that collectively comprise information science, Luenberger builds his book around the five "E's" of information: Entropy, Economics, Encryption, Extraction, and Emission. Each area directly impacts modern information products, services, and technology--everything from word processors to digital cash, database systems to decision making, marketing strategy to spread spectrum communication.
To study these principles is to learn how English text, music, and pictures can be compressed, how it is possible to construct a digital signature that cannot simply be copied, how beautiful photographs can be sent from distant planets with a tiny battery, how communication networks expand, and how producers of information products can make a profit under difficult market conditions. The book contains vivid examples, illustrations, exercises, and points of historic interest, all of which bring to life the analytic methods presented: * Presents a unified approach to the field of information science * Emphasizes basic principles * Includes a wide range of examples and applications * Helps students develop important new skills * Suggests exercises with solutions in an instructor's manual
David G. Luenberger is Professor in the Department of Management Science and Engineering at Stanford University.
Information Science
€121.99
