FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Numerical Simulation, An Art of Prediction, Volume 2

Jean-François Sigrist
    Product form
      FORMAT: Hardback
      YOU COULD EARN 0 FUTURE RETAIL DISCOUNTS.

      This product is either out of print or out of stock. Add it to your wishlist and we will automatically let you know if it comes back into stock. Add to Wishlist

      BUY NOW PAY LATER
      From R 0.00 per month!
      3x monthly payments of R 0.00 with
      4x fortnightly payments of R 0.00 with

      This product is either out of print or out of stock. Add it to your wishlist and we will automatically let you know if it comes back into stock. Add to Wishlist

      Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction". Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences.
      Format: Hardback CONTRIBUTORS: Jean-François Sigrist EAN: 9781786304322 COUNTRY: United Kingdom PAGES: WEIGHT: 771 g HEIGHT: 239 cm
      PUBLISHED BY: ISTE Ltd and John Wiley & Sons Inc DATE PUBLISHED: 2020-02-21 CITY: GENRE: MATHEMATICS / General WIDTH: 163 cm SPINE:

      Book Themes:

      Mathematical modelling

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Jean-François Sigrist is a doctor of engineering sciences who has worked for almost 20 years in the industry leading a team of research engineers in numerical simulation. He is now an independent expert.
      Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction". Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences.
      Format: Hardback CONTRIBUTORS: Jean-François Sigrist EAN: 9781786304322 COUNTRY: United Kingdom PAGES: WEIGHT: 771 g HEIGHT: 239 cm
      PUBLISHED BY: ISTE Ltd and John Wiley & Sons Inc DATE PUBLISHED: 2020-02-21 CITY: GENRE: MATHEMATICS / General WIDTH: 163 cm SPINE:

      Book Themes:

      Mathematical modelling

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Jean-François Sigrist is a doctor of engineering sciences who has worked for almost 20 years in the industry leading a team of research engineers in numerical simulation. He is now an independent expert.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account