"The first quantum mechanics text published that ties directly into a computer algebra system, this book exploits Mathematica throughout for symbolic, numeric and graphical computing. It is a work designed for computer interaction in an upper-division undergraduate or first-year…
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"The first quantum mechanics text published that ties directly into a computer algebra system, this book exploits Mathematica throughout for symbolic, numeric and graphical computing. It is a work designed for computer interaction in an upper-division undergraduate or first-year…
"This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. The book also discusses numerical techniques for implementing the Bayesian calculations, including an introduction to Markov chain Monte Carlo integration an…
Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is …
With examples of all 450 functions in action plus tutorial text on the mathematics, this book is the definitive guide to Experimenting with Combinatorica, a widely used software package for teaching and research in discrete mathematics. Three interesting classes of exercises are…
This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica®, is the most comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This …
With examples of all 450 functions in action plus tutorial text on the mathematics, this book is the definitive guide to Experimenting with Combinatorica, a widely used software package for teaching and research in discrete mathematics. Three interesting classes of exercises are…
An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evoluti…
P An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolu…
An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evoluti…
Aiming their work at advanced undergraduate and postgraduate students, the authors describe the methods they used in utilizing the computer program Mathematica to model a "troublesome" aspect of human erythrocyte metabolism, a method that led to insights they believe were otherw…
Aiming their work at advanced undergraduate and postgraduate students, the authors describe the methods they used in utilizing the computer program Mathematica to model a "troublesome" aspect of human erythrocyte metabolism, a method that led to insights they believe were otherw…
