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Books Like Introduction to Quasi-Monte Carlo Integration and Applications

If you liked Introduction to Quasi-Monte Carlo Integration and Applications by Gunther Leobacher, Friedrich Pillichshammer

If you liked Introduction to Quasi-Monte Carlo Integration and Applications by Gunther Leobacher and Friedrich Pillichshammer, start with Applied Algebra and Number Theory (2014), Discrepancy Theory (2020), and Lattice Rules (2022). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

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Recommended next reads

  1. 1 Applied Algebra and Number Theory 2014 · 345 pages · Gerhard Larcher, Friedrich Pillichshammer, Chaoping Xing · Same author
  2. 2 Discrepancy Theory 2020 · 225 pages · Dmitriy Bilyk, Josef Dick, Friedrich Pillichshammer · Same author
  3. 3 Lattice Rules 2022 · 580 pages · Josef Dick, Peter Kritzer, Friedrich Pillichshammer · Same author
  4. 4 Uniform Distribution and Quasi-Monte Carlo Methods 2014 · 269 pages · Peter Kritzer, Friedrich Pillichshammer · Same author

Frequently asked questions

What should I read after Introduction to Quasi-Monte Carlo Integration and Applications?

BookOrb recommends Applied Algebra and Number Theory (2014), Discrepancy Theory (2020), Lattice Rules (2022), and Uniform Distribution and Quasi-Monte Carlo Methods (2014).

Are there books like Introduction to Quasi-Monte Carlo Integration and Applications?

Yes. The list on this page is ranked from the closest matches BookOrb has for Introduction to Quasi-Monte Carlo Integration and Applications.

Who wrote Introduction to Quasi-Monte Carlo Integration and Applications?

Introduction to Quasi-Monte Carlo Integration and Applications is by Gunther Leobacher and Friedrich Pillichshammer.