Languages
Olver, Peter J.
Overview
| Works: | 1 works in 3 publications in 1 languages | |
|---|---|---|
Titles
Applications of Lie groups to differential equations /
by:
Olver, Peter J.
(Language materials, printed)
Linear algebra, data science, and machine learning
by:
Olver, Peter J.; SpringerLink (Online service); Calder, Jeff.
(Electronic resources)
Computer Algebra and Geometric Algebra with Applications = 6th international workshop, IWMM 2004, Shanghai, China, May 19-21, 2004 and international workshop, GIAE 2004, Xian, China, May 24-28, 2004 : revised selected papers/
by:
Li, Hongbo.; Olver, Peter J.; Sommer, Gerald.; SpringerLink (Online service); International Workshop on Mathematics Mechanization (2004 :)
(Language materials, printed)
Lie algebras, cohomology, and new applications to quantum mechanics : = AMS special session on lie algebras, cohomology, and new applications to quantum mechanics, March 20-21, 1992, Southern Missouri State University/
by:
Kamran, Niky, (1959-); Olver, Peter J.
(Language materials, printed)
Introduction to partial differential equations
by:
Olver, Peter J.; SpringerLink (Online service)
(Electronic resources)
Applied linear algebra
by:
Olver, Peter J.; SpringerLink (Online service); Shakiban, Chehrzad.
(Electronic resources)
Mathematical methods in computer vision /
by:
Olver, Peter J.; Tannenbaum, Allen, (1953-.)
(Language materials, printed)
Subjects
Image Processing and Computer Vision.
Complex Systems.
Data Science.
Differential equations.
Differential equations, Partial- Numerical solutions.
Algebra.
Lie groups.
Computer algorithms- Congresses.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence (incl. Robotics)
Computer Graphics.
Algebras, Linear.
Linear Algebra.
Lie algebras.
Mathematics.
Mathematical physics.
Applied Probability.
Quantum theory.
Computational Science and Engineering.
Numeric Computing.
Fourier Analysis.
Linear and Multilinear Algebras, Matrix Theory.
Machine learning- Mathematics.
Algebra- Data processing
Partial Differential Equations.
Machine Learning.
Optimization.
Homology theory.
Geometry, Algebraic- Congresses.
Computer Science.
Matrix theory.
Computer vision- Mathematics.
Mathematical Applications in the Physical Sciences.