random number generation and monte carlo methods

Time Series Analysis with Python Cookbook - Second Edition - 2nd Edition by Tarek A Atwan (Paperback)

A Practical Approach to Computational Fluid Dynamics Using Openfoam(r) - by Giovanni Caramia & Elia Distaso (Paperback)

An Introduction to Statistical Learning - (Springer Texts in Statistics)

Stochastics and Computational Techniques - (Data-Centric Engineering) by Jean Parks & Mohammad Noori (Hardcover)

Understanding Data - by Alan Garfinkel & Yina Guo (Hardcover)

Elenco: Smartivity Mulitiplication Machine STEM Kit

Stochastic Finance - (De Gruyter Textbook) 5th Edition by Hans Föllmer & Alexander Schied (Paperback)

Introduction to Transfer Learning - (Machine Learning: Foundations, Methodologies, and Applications) by Jindong Wang & Yiqiang Chen (Paperback)

Numerical Methods with Python - (De Gruyter Textbook) by William Miles (Paperback)

Numerische Mathematik - (De Gruyter Studium) by Martin Hermann (Hardcover)

Never Thirteen - (Evers) by Stacy McAnulty

Nonstandard Analysis - (NATO Science Series C:) by Leif O Arkeryd & Nigel J Cutland & C Ward Henson (Hardcover)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Greedoids - (Algorithms and Combinatorics) by Bernhard Korte & Laszlo Lovasz & Rainer Schrader & B H Korte (Hardcover)

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques - (Paperback)

Theory, Algorithms, and Experiments in Applied Optimization - (Springer Optimization and Its Applications) by Boris Goldengorin (Hardcover)

Numerical Computer Methods, Part C - (Methods in Enzymology) (Hardcover)

Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems - by Jerome Morio & Mathieu Balesdent (Hardcover)