Applications of Continuous Mathematics to Computer Science - nieuw boek

EAN (ISBN-13): 9789401707435
Uitgever: Springer Shop

Boek bevindt zich in het datenbestand sinds 2021-08-07T19:44:15+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2021-08-07T19:44:15+02:00 (Amsterdam)
ISBN/EAN: 9789401707435

ISBN - alternatieve schrijfwijzen:
978-94-017-0743-5
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: computer

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Gegevens van de uitgever

Auteur: Hung T. Nguyen
Titel: Theory and Decision Library B; Applications of Continuous Mathematics to Computer Science - Mathematical and Statistical Methods
Uitgeverij: Springer; Springer Netherland
419 Bladzijden
Verschijningsjaar: 2019-06-12
Dordrecht; NL
Taal: Engels
220,00 € (DE)

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Numerische Mathematik; Verstehen; Ban; algorithms; complexity; constant; expert system; fuzzy control; fuzzy logic; genetic algorithm; logic; neural network; optimization; robot; B; Computational Mathematics and Numerical Analysis; Theory of Computation; Artificial Intelligence; Algorithms; Complex Systems; Software Engineering; Business and Management; Theoretische Informatik; Künstliche Intelligenz; Algorithmen und Datenstrukturen; Kybernetik und Systemtheorie; Software Engineering; BC

Preface. 1. Algorithm Complexity: Two Simple Examples. 2. Solving General Linear Functional Equations: An Application to Algorithm Complexity. 3. Program Testing: A Problem. 4. Optimal Program Testing. 5. Optimal Choice of a Penalty Function: Simplest Case of Algorithm Design. 6. Solving General Linear Differential Equations with Constant Coefficients: An Application to Constrained Optimization. 7. Simulated Annealing: `Smooth' (Local) Discrete Optimization. 8. Genetic Algorithms: `Non-Smooth' Discrete Optimization. 9. RISC Computer Architecture and Internet Growth: Two Applications of Extrapolation. 10. Systems of Differential Equations and Their Use in Computer-Related Extrapolation Problems. 11. Network Congestion: An Example of Non-Linear Extrapolation. 12. Neural Networks: A General Form of Non-Linear Extrapolation. 13. Expert Systems and the Basics of Fuzzy Logic. 14. Intelligent and Fuzzy Control. 15. Randomness, Chaos, and Fractals. A: Simulated Annealing Revisited. B: Software Cost Estimation. C: Electronic Engineering: How to Describe PN-Junctions. D: Log-Normal Distribution Justified: An Application to Computational Statistics. E: Optimal Robust Statistical Methods. F: How to Avoid Paralysis of Neural Networks. G: Estimating Computer Prices. H: Allocating Bandwidth on Computer Networks. I: Algorithm Complexity Revisited. J: How Can a Robot Avoid Obstacles: Case Study of Real-Time Optimization. K: Discounting in Robot Control: A Case Study of Dynamic Optimization. Index.