Neural computing for optimization and combinatorics

Combinatorial Optimization: Theory and A

📁 Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

✍ Bernhard Korte, Jens Vygen 📂 Library 📅 2005 🏛 Springer 🌐 English

This is the most comprehensive compilation on combinatorial optiomization I have seen so far. Usually, Papadimitriou's book is a good place for this material - but in many cases, looking for proofs and theorems - I had to use several books: (*) Combinatorial Optimization Algorithms and Complexity by

Combinatorial Optimization: Theory and A

📁 Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

✍ Bernhard Korte, Jens Vygen 📂 Library 📅 2002 🏛 Springer 🌐 English

Combinatorial Optimization: Theory and A

📁 Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

✍ Bernhard Korte 📂 Library 📅 2012 🏛 Springer 🌐 English

<span>This comprehensive textbook on combinatorial optimization places specialemphasis on theoretical results and algorithms with provably goodperformance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This

Simulated Annealing and Boltzmann Machin

📁 Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

✍ Emile H. L. Aarts, Jan Korst 📂 Library 📅 1989 🏛 Wiley 🌐 English

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of r

Geometric Algorithms and Combinatorial O

📁 Geometric Algorithms and Combinatorial Optimization, Second Edition (Algorithms and Combinatorics)

✍ Martin Grötschel, Laszlo Lovasz, Alexander Schrijver 📂 Library 📅 1993 🏛 Springer 🌐 English

This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and, in particular, combinatorial optimization. It offers a unifying approach which is based on two fundamental geometric algorithms: the ellipsoid method for finding a poin

Geometric Algorithms and Combinatorial O

📁 Geometric Algorithms and Combinatorial Optimization, Second Edition (Algorithms and Combinatorics)

✍ Martin Grötschel, Laszlo Lovasz, Alexander Schrijver 📂 Library 📅 1993 🏛 Springer 🌐 English

This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and, in particular, combinatorial optimization. It offers a unifying approach which is based on two fundamental geometric algorithms: the ellipsoid method for finding a poin