PROBABILITY, OPTIMIZATION THEORY, AND EVOLUTION1

PROBABILITY, OPTIMIZATION THEORY, AND EV

PROBABILITY, OPTIMIZATION THEORY, AND EVOLUTION

✍ Jason Rosenhouse 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 22 KB

Probability theory and combinatorial opt

Probability theory and combinatorial optimization

✍ J. Michael Steele 📂 Library 📅 1987 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 2 MB

This monograph provides an introduction to the state of the art of the probability theory that is most directly applicable to combinatorial optimization. The questions that receive the most attention are those that deal with discrete optimization problems for points in Euclidean space, such as the m

Probability theory and combinatorial opt

Probability theory and combinatorial optimization

✍ J. Michael Steele 📂 Library 📅 1997 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 1 MB

This monograph provides an introduction to the state of the art of the probability theory that is most directly applicable to combinatorial optimization. The questions that receive the most attention are those that deal with discrete optimization problems for points in Euclidean space, such as the m

Probability, Optimization Theory, and Ev

Probability, Optimization Theory, and Evolutionby Jason Rosenhouse

✍ Review by: D. Futuyma 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 443 KB

Optimization Theory in Evolution

✍ J. Maynard Smith 📂 Article 📅 1978 🏛 Annual Reviews 🌐 English ⚖ 534 KB

Probability Theory of Classical Euclidea

Probability Theory of Classical Euclidean Optimization Problems

✍ Joseph E. Yukich (auth.) 📂 Library 📅 1998 🏛 Springer 🌐 English ⚖ 961 KB

This monograph describes the stochastic behavior of the solutions to the classic problems of Euclidean combinatorial optimization, computational geometry, and operations research. Using two-sided additivity and isoperimetry, it formulates general methods describing the total edge length of random gr