Item Successfully Added to Cart
An error was encountered while trying to add the item to the cart. Please try again.
OK
Please make all selections above before adding to cart
OK
Share this page via the icons above, or by copying the link below:
Copy To Clipboard
Successfully Copied!
Qualitative Topics in Integer Linear Programming
 
V. N. Shevchenko Nizhnii Novgorod, Russia
Qualitative Topics in Integer Linear Programming
Hardcover ISBN:  978-0-8218-0535-0
Product Code:  MMONO/156
List Price: $165.00
MAA Member Price: $148.50
AMS Member Price: $132.00
eBook ISBN:  978-1-4704-4571-3
Product Code:  MMONO/156.E
List Price: $155.00
MAA Member Price: $139.50
AMS Member Price: $124.00
Hardcover ISBN:  978-0-8218-0535-0
eBook: ISBN:  978-1-4704-4571-3
Product Code:  MMONO/156.B
List Price: $320.00 $242.50
MAA Member Price: $288.00 $218.25
AMS Member Price: $256.00 $194.00
Qualitative Topics in Integer Linear Programming
Click above image for expanded view
Qualitative Topics in Integer Linear Programming
V. N. Shevchenko Nizhnii Novgorod, Russia
Hardcover ISBN:  978-0-8218-0535-0
Product Code:  MMONO/156
List Price: $165.00
MAA Member Price: $148.50
AMS Member Price: $132.00
eBook ISBN:  978-1-4704-4571-3
Product Code:  MMONO/156.E
List Price: $155.00
MAA Member Price: $139.50
AMS Member Price: $124.00
Hardcover ISBN:  978-0-8218-0535-0
eBook ISBN:  978-1-4704-4571-3
Product Code:  MMONO/156.B
List Price: $320.00 $242.50
MAA Member Price: $288.00 $218.25
AMS Member Price: $256.00 $194.00
  • Book Details
     
     
    Translations of Mathematical Monographs
    Volume: 1561997; 146 pp
    MSC: Primary 90; Secondary 68

    Integer solutions for systems of linear inequalities, equations, and congruences are considered along with the construction and theoretical analysis of integer programming algorithms. The complexity of algorithms is analyzed dependent upon two parameters: the dimension, and the maximal modulus of the coefficients describing the conditions of the problem. The analysis is based on a thorough treatment of the qualitative and quantitative aspects of integer programming, in particular on bounds obtained by the author for the number of extreme points. This permits progress in many cases in which the traditional approach—which regards complexity as a function only of the length of the input—leads to a negative result.

    Readership

    Graduate students studying cybernetics and information science and applied mathematicians interested in the theory and applications of discrete optimization.

  • Table of Contents
     
     
    • Chapters
    • Chapter 1. Intersection of a convex polyhedral cone with the integer lattice
    • Chapter 2. A discrete analogue of the Farkas theorem, and the problem of aggregation of a system of linear integer equations
    • Chapter 3. Intersection of a convex polyhedral set with the integer lattice
    • Chapter 4. Cut methods in integer programming
    • Chapter 5. Complexity questions in integer linear programming
    • Appendix 1. Solution of systems of linear equations and congruences in integers
    • Appendix 2. Examples of applied problems related to the topic of the book
    • Appendix 3. Investigation of minor and permanent characteristics of certain Boolean matrices
    • Appendix 4. Threshold functions of many-valued logic and their deciphering
  • Reviews
     
     
    • Of interest ... references many papers in Russian that are largely unavailable outside (and, sometimes, inside) Russia.

      Mathematical Reviews
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Permission – for use of book, eBook, or Journal content
    Accessibility – to request an alternate format of an AMS title
Volume: 1561997; 146 pp
MSC: Primary 90; Secondary 68

Integer solutions for systems of linear inequalities, equations, and congruences are considered along with the construction and theoretical analysis of integer programming algorithms. The complexity of algorithms is analyzed dependent upon two parameters: the dimension, and the maximal modulus of the coefficients describing the conditions of the problem. The analysis is based on a thorough treatment of the qualitative and quantitative aspects of integer programming, in particular on bounds obtained by the author for the number of extreme points. This permits progress in many cases in which the traditional approach—which regards complexity as a function only of the length of the input—leads to a negative result.

Readership

Graduate students studying cybernetics and information science and applied mathematicians interested in the theory and applications of discrete optimization.

  • Chapters
  • Chapter 1. Intersection of a convex polyhedral cone with the integer lattice
  • Chapter 2. A discrete analogue of the Farkas theorem, and the problem of aggregation of a system of linear integer equations
  • Chapter 3. Intersection of a convex polyhedral set with the integer lattice
  • Chapter 4. Cut methods in integer programming
  • Chapter 5. Complexity questions in integer linear programming
  • Appendix 1. Solution of systems of linear equations and congruences in integers
  • Appendix 2. Examples of applied problems related to the topic of the book
  • Appendix 3. Investigation of minor and permanent characteristics of certain Boolean matrices
  • Appendix 4. Threshold functions of many-valued logic and their deciphering
  • Of interest ... references many papers in Russian that are largely unavailable outside (and, sometimes, inside) Russia.

    Mathematical Reviews
Review Copy – for publishers of book reviews
Permission – for use of book, eBook, or Journal content
Accessibility – to request an alternate format of an AMS title
Please select which format for which you are requesting permissions.