Mathematik für Ingenieure
Alareeni / Hamdan
Technology: Toward Business Sustainability
Technology: Toward Business Sustainability
Proceedings of the International Conference on Business and Technology (ICBT2023), Volume 4
Kantorovich
Mathematics for Natural Scientists II
Mathematics for Natural Scientists II
Advanced Methods
2nd ed. 2024
Marti
Stochastic Optimization Methods
Stochastic Optimization Methods
Applications in Engineering and Operations Research
4th ed. 2024
Nagel / Kröner / Resch
High Performance Computing in Science and Engineering '22
High Performance Computing in Science and Engineering '22
Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022
Kreinovich / Sriboonchitta / Yamaka
Machine Learning for Econometrics and Related Topics
Machine Learning for Econometrics and Related Topics
Resch / Gebert / Kobayashi / Takizawa / Bez
Sustained Simulation Performance 2022
Sustained Simulation Performance 2022
Proceedings of the Joint Workshop on Sustained Simulation Performance, High-Performance Computing Center Stuttgart (HLRS), University of Stuttgart and Tohoku University, May and October 2022
Kusiak / Rauch / Regulski
Numerical Methods in Industrial Forming Processes
Numerical Methods in Industrial Forming Processes
Numiform 2023
Luo
Cubic Dynamical Systems, Vol. IX
Cubic Dynamical Systems, Vol. IX
Two-dimensional Two-product Cubic Systems with Different Product Structure Vector Fields
Luo
Cubic Dynamical Systems, Vol. X
Cubic Dynamical Systems, Vol. X
Two-dimensional Two-product Cubic Systems Crossing-linear and Self-quadratic Product Vector Fields
Sarti
Morphology, Neurogeometry, Semiotics
Morphology, Neurogeometry, Semiotics
A Festschrift in honor of Jean Petitot 's 80th birthday
El Khoury
Technology-Driven Business Innovation
Technology-Driven Business Innovation
Unleashing the Digital Advantage, Volume 1
Zdorenko / Zashchepkina / Barylko
Manufacturing Control of Textile Materials
Manufacturing Control of Textile Materials
Operational Computerized Non-contact Methods
Chowdhury
Monte Carlo Methods Utilizing Mathematica®
Monte Carlo Methods Utilizing Mathematica®
Applications in Inverse Transform and Acceptance-Rejection Sampling