An Algorithmic Theory of Numbers, Graphs and Convexity
Book information
Description
A study of how complexity questions in computing interact with classical mathematics in the numerical analysis of issues in algorithm design. Algorithmic designers concerned with linear and nonlinear combinatorial optimization will find this volume especially useful. Two algorithms are studied in detail: the ellipsoid method and the simultaneous diophantine approximation method. Although both were developed to study, on a theoretical level, the feasibility of computing some specialized problems in polynomial time, they appear to have practical applications. The book first describes use of the simultaneous diophantine method to develop sophisticated rounding procedures. Then a model is described to compute upper and lower bounds on various measures of convex bodies. Use of the two algorithms is brought together by the author in a study of polyhedra with rational vertices. The book closes with some applications of the results to combinatorial optimization.
Similar books
Discrete Mathematics: Elementary and Beyond (Undergraduate Texts in Mathematics)
2003 · PDF
Geometric Algorithms and Combinatorial Optimization
1988 · PDF
Combinatorial Problems and Exercises (AMS Chelsea Publishing)
2007 · DJVU
Graphs and Geometry
2019 · PDF
Greedoids
1991 · PDF
Combinatorial Problems and Exercises
2007 · PDF
Combinatorial Problems and Exercises
2007 · PDF
Paul Erdös and his mathematics II
2002 · DJVU