Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Item added to bagSorry, there was a problem getting your bag informationItem cannot be purchased with the existing contents of your bagItem unavailable online
✕

was added to your bag.

Please try again.

Sorry, this item cannot be purchased in the same transaction as the existing items in your bag.

Please complete the purchase of the items currently in your bag and then add this item in a separate transaction or visit Shopping Help.

Sorry, this product is not currently available to buy online. Please visit Shopping Help.

View bag and checkout
Remove item
✕

Are you sure you want to remove from your bag?

Recommended product

Popular links

Popular links

Boolean Function Complexity

All titles
Boolean Function Complexity

Boolean Function Complexity

M. S. Paterson, University of Warwick
November 1992
Available
Paperback
9780521408264
$46.99
USD
Paperback
USD
eBook
    Description

    Boolean function complexity has seen exciting advances in the past few years. It is a long established area of discrete mathematics that uses combinatorial and occasionally algebraic methods. Professor Paterson brings together papers from the 1990 Durham symposium on Boolean function complexity. The list of participants includes very well known figures in the field, and the topics covered will be significant to many mathematicians and computer scientists working in related areas.

    • Will appeal to computer scientists as well as mathematicians
    • Carefully edited - all papers have been finely tuned
    • Long awaited

    Product details

    November 1992
    Paperback
    9780521408264
    212 pages
    227 × 151 × 11 mm
    0.315kg
    Available

    Often bought together

    Complexity and Information
    Complexity and Information

    : Paperback

    Often bought together

    This title is available for institutional purchase via Cambridge Core

    Learn more
    cambridge core banner

    Related Journals

    Combinatorics, Probability and Computing
    Combinatorics, Probability and Computing

    : Journal

    Published bimonthly, Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.

    Theory and Practice of Logic Programming
    Theory and Practice of Logic Programming

    : Journal

    Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to all of them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, nonmonotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.

    Journal of Functional Programming
    Journal of Functional Programming

    : Journal

    Journal of Functional Programming is the only journal devoted solely to the design, implementation, and application of functional programming languages, spanning the range from mathematical theory to industrial practice. Topics covered include functional languages and extensions, implementation techniques, reasoning and proof, program transformation and synthesis, type systems, type theory, language-based security, memory management, parallelism and applications. Special tracks are devoted to tools and applications, commercial uses and education; pearl-type papers are encouraged. For more details see the Advice for Authors page..Manuscripts for consideration in the Journal of Functional Programming should be submitted electronically, via Scholar One ManuscriptsTM:  http://mc.manuscriptcentral.com/cup/jfp_submit. See Instructions for Contributors.

    Mathematical Structures in Computer Science
    Mathematical Structures in Computer Science

    : Journal

    Mathematical Structures in Computer Science is a journal of theoretical computer science which focuses on the application of ideas from the structural side of mathematics and mathematical logic to computer science. The journal aims to bridge the gap between theoretical contributions and software design, publishing original papers of a high standard and broad surveys with original perspectives in all areas of computing, provided that ideas or results from logic, algebra, geometry, category theory or other areas of logic and mathematics form a basis for the work. The journal welcomes applications to computing based on the use of specific mathematical structures (e.g. topological and order-theoretic structures) as well as on proof-theoretic notions or results. The journal will also accept contributions in new interdisciplinary fields bridging computer science, quantum physics, mathematics and information theory. In particular, papers on quantum information processing and communication, as well as on the related issues in quantum language design will be considered. The journal is also interested in papers on computational modelling of epigenetics phenomena, protein-protein interaction, stochasticity in molecular cascades. Mathematical approches to System Biology will be welcomed, within the broad frame of post-genomic views of embryogenesis and evolution.

    Related Journals

    Also by this Author

    Contents

    Table of Contents

    • 1. Relationships between monotone and non-monotone network complexity
    • 2. On read-once Boolean functions
    • 3. Boolean function complexity: a lattice-theoretic perspective
    • 4. Monotone complexity
    • 5. On submodular complexity measures
    • 6. Why is Boolean complexity so difficult?
    • 7. The multiplicative complexity of Boolean quadratic forms
    • 8. Some problems involving Razborov–Smolensky polynomials
    • 9. Symmetry functions in AC0
    • 10. Boolean complexity and probabilistic constructions
    • 11. Networks computing Boolean functions for multiple input values
    • 12. Optimal carry save networks.
      • Show more

    Look inside

    Courses
    Resources
    Additional Information
    About the authors
      Editor
    • M. S. Paterson , University of Warwick

    Browse by related subject

     
    ✕

    Sorry, this item cannot be purchased in the same transaction as the existing items in your cart.

    Please complete the purchase of the items currently in your cart and then add this item in a separate transaction or contact

    Customer Services