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Computer. Automation --- Mathematical physics --- Physics --- Data processing --- Data processing. --- Berekeningsmethoden --- Fysica --- Berekeningsmethoden. --- Fysica. --- Physics - Data processing

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Artificial intelligence. Robotics. Simulation. Graphics --- Physics --- Stochastic processes --- BASIC (Computer program language) --- Mathematical models. --- Data processing. --- Mathematical models --- Data processing --- Physics - Data processing --- Physics - Mathematical models --- Stochastic processes - Data processing --- Stochastic processes - Mathematical models

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Soil physics --- Mathematical models --- Data processing --- -Soil physics --- -#ABIB:altk --- Agricultural physics --- Soil mechanics --- Environmental Sciences and Forestry. Soil Science --- Data processing. --- Mathematical models. --- Soil Physics --- Soil Physics. --- #ABIB:altk --- Soil physics - Mathematical models --- Soil physics - Data processing

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Although computation and the science of physical systems would appear to be unrelated, there are a number of ways in which computational and physical concepts can be brought together in ways that illuminate both. This volume examines fundamental questions which connect scholars from both disciplines: is the universe a computer? Can a universal computing machine simulate every physical process? What is the source of the computational power of quantum computers? Are computational approaches to solving physical problems and paradoxes always fruitful? Contributors from multiple perspectives reflecting the diversity of thought regarding these interconnections address many of the most important developments and debates within this exciting area of research. Both a reference to the state of the art and a valuable and accessible entry to interdisciplinary work, the volume will interest researchers and students working in physics, computer science, and philosophy of science and mathematics.

Mathematical physics --- Computational Complexity --- Physics --- Computer science --- Data processing --- Mathematics --- Mathematical physics. --- Computational complexity. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Physical mathematics --- Computer mathematics --- Data processing. --- Mathematics. --- Physics - Data processing --- Computer science - Mathematics

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Computational chemistry methods have become increasingly important in recent years, as manifested by their rapidly extending applications in a large number of diverse fields. The ever-increasing size of the systems one wants to study leads to the development and application of methods, which provide satisfactory answers at a manageable computational cost. An important variety of computational techniques for large systems are represented by the linear-scaling techniques, that is, by methods where the computational cost scales linearly with the size of the system. This monograph is a collection of chapters, which report the state-of-the-art developments and applications of many important classes of linear-scaling methods. Linear-Scaling Techniques in Computational Chemistry and Physics: Methods and Applications serves as a handbook for theoreticians who are involved in the development of new and efficient computational methods as well as for scientists who use the tools of computational chemistry and physics in their research.

Chemistry -- Data processing. --- Chemistry -- Mathematics. --- Mathematical physics. --- Physics -- Data processing. --- Chemistry --- Physical Sciences & Mathematics --- Chemistry - General --- Physical & Theoretical Chemistry --- Scaling laws (Statistical physics) --- Ratio and proportion (Statistical physics) --- Scale invariance (Statistical physics) --- Scaling hypothesis (Statistical physics) --- Scaling phenomena (Statistical physics) --- Chemistry. --- Chemistry, Physical and theoretical. --- Physics. --- Theoretical and Computational Chemistry. --- Theoretical, Mathematical and Computational Physics. --- Physical laws --- Ranking and selection (Statistics) --- Statistical physics --- Physical sciences --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Physical mathematics --- Physics --- Mathematics