By Raúl Toral,Pere Colet

Stochastic Numerical Methods introduces at grasp point the numerical tools that use chance or stochastic ideas to research random procedures. The publication goals at being fairly normal and is addressed at scholars of average sciences (Physics, Chemistry, arithmetic, Biology, etc.) and Engineering, but in addition social sciences (Economy, Sociology, etc.) the place a number of the options were used lately to numerically simulate varied agent-based types.

Examples integrated within the ebook variety from phase-transitions and significant phenomena, together with information of information research (extraction of severe exponents, finite-size results, etc.), to inhabitants dynamics, interfacial development, chemical reactions, and so forth. software listings are built-in within the dialogue of numerical algorithms to facilitate their understanding.

From the contents:

  • Review of chance Concepts
  • Monte Carlo Integration
  • Generation of Uniform and Non-uniform
  • Random Numbers: Non-correlated Values
  • Dynamical Methods
  • Applications to Statistical Mechanics
  • Introduction to Stochastic Processes
  • Numerical Simulation of standard and
  • Partial Stochastic Differential Equations
  • Introduction to grasp Equations
  • Numerical Simulations of grasp Equations
  • Hybrid Monte Carlo
  • Generation of n-Dimensional Correlated
  • Gaussian Variables
  • Collective Algorithms for Spin Systems
  • Histogram Extrapolation
  • Multicanonical Simulations

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