Simulated Annealing and Boltzmann Machines
A Stochastic Approach to Combinatorial Optimization and Neural Computing
Emile Aarts & Jan Korst
Simulated Annealing and Boltzmann Machines
A Stochastic Approach to Combinatorial Optimization and Neural Computing
Emile Aarts & Jan Korst
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Description
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.
About the authors: Emile Aarts studied mathematics and physics at the University of Nijmegen, The Netherlands, and received his PhD in physics from the University of Groningen. In 1983 he joined the Philips Research Laboratories at Eindhoven. Since 1987 he has been a consultant at the Eindhoven University of Technology. Jan Korst studied mathematics at the Delft University of Technology, The Netherlands. He joined the Philips Research Laboratories at Eindhoven in 1985.
About the authors: Emile Aarts studied mathematics and physics at the University of Nijmegen, The Netherlands, and received his PhD in physics from the University of Groningen. In 1983 he joined the Philips Research Laboratories at Eindhoven. Since 1987 he has been a consultant at the Eindhoven University of Technology. Jan Korst studied mathematics at the Delft University of Technology, The Netherlands. He joined the Philips Research Laboratories at Eindhoven in 1985.