Deterministic Sampling Library in C++

Deterministic Sampling Library in C++

Entry from the 23.09.2024
Position number 118050
Job vacancy: From now on

Description

Our institute is at the forefront in developing better-than-random, deterministic samples. Replacement of the commonly used random samples with deterministic ones yields faster convergence, i.e., more accurate results with fewer samples. Deterministic samples have a wide range of application scenarios, e.g., numerical integration or Monte Carlo simulation, state estimation, control, and uncertainty representation.

A major obstacle for widespread use of our methods is the availability of a fast implementation that can easily be invoked from all major scientific programming languages. Therefore we plan to create and publish C++ implementations of our most universal and widely used methods, as i) C++ can easily be compiled and run on all platforms, and ii) all important scientific languages provide widely used and well-documented bindings to invoke C++ code, so we can easily provide small wrapper functions for use in Python, Julia, Matlab, R, etc..
More Information
PDF attachment: frisch_2024-09_HiWi_C++Library.pdf, 822 kB

Job type/category

• Working student

Field of study preferred

• Engineering sciences
  Electrical engineering & information technologies
  Informatics
  Mechanical engineering
  Mechanical Engineering
• Natural sciences and Technology
  Mathematics
  Physics
  Mathematics in Technology

Favored career stage

• Student

Location/region

• Karlsruhe city, Karlsruhe region

Sector

• IT & information technology

Industry branch

• Science & research

Language at workplace

• German and english

Type of company

• Scientific institution

Home office

• Homeoffice possible

Contact

Daniel Frisch
KIT
Adenauerring 2
76676 Karlsruhe
Germany
Tel: 072160848676
E-Mail: Please log in to read the stated e-mail address
Company address

KIT
Adenauerring 2
76676 Karlsruhe
Germany
Telefon: 072160848676
https://isl.anthropomatik.kit.edu/
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