Entanglement in Spin Chains: From Theory to Quantum Technology Applications Entanglement in Spin Chains Abolfazl Bayat, Sougato Bose

Harness The Power Of Machine Learning For Unsupervised Learning & CLustering In R and Google - With Practical Examples

This book provides a comprehensive overview of the subject of channel coding. It starts with a description of information theory, focusing on the quantitative measurement of information and introducing two fundamental theorems on source and channel coding.

The epistemological synthesis of the various theories of evolution, since the first formulation in 1802 with the transmission of the inherited characters by J.B. Lamarck, shows the need for an alternative synthesis to that of Princeton (1947). This new synthesis integrates the scientific models of self-organization developed during the second half of the 20th century based on the laws of physics, thermodynamics, and mathematics with the emergent evolutionary problematics such as self-organized memory.