Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Mathematician
|
| gptkbp:academicAdvisor |
gptkb:Vladimir_Smirnov
Professor Research_Scientist |
| gptkbp:affiliation |
gptkb:Moscow_State_University
gptkb:Russian_Academy_of_Sciences |
| gptkbp:awards |
gptkb:State_Prize_of_the_Russian_Federation
|
| gptkbp:birthPlace |
gptkb:Russia
|
| gptkbp:birthYear |
1930
|
| gptkbp:collaboratedWith |
gptkb:Vladimir_V._Voevodin
gptkb:Igor_V._Gorshkov |
| gptkbp:contribution |
Research in optimization techniques
Numerical linear algebra techniques Theory of iterative methods Advancements in numerical methods for differential equations Numerical solutions of partial differential equations Development_of_iterative_methods_for_solving_linear_systems |
| gptkbp:deathYear |
2019
|
| gptkbp:education |
PhD in Mathematics
|
| gptkbp:field |
Applied mathematics
Numerical analysis |
| gptkbp:financialPerformance |
Mentorship of students in mathematics
|
| https://www.w3.org/2000/01/rdf-schema#label |
Andrei Krylov
|
| gptkbp:influence |
Modern computational techniques
|
| gptkbp:influenced |
Data science
Numerical linear algebra Statistical methods Computational physics Computational science Engineering mathematics |
| gptkbp:influencedBy |
gptkb:Andrey_Kolmogorov
|
| gptkbp:knownFor |
Krylov_subspace_methods
Krylov_subspace_methods_in_optimization |
| gptkbp:legacy |
Impact on numerical methods
Advancements in numerical methods for engineering applications |
| gptkbp:nationality |
Russian
|
| gptkbp:notableEvent |
Pioneering_work_in_Krylov_subspace_methods
|
| gptkbp:notableFeature |
Krylov_Subspace_Methods_for_Linear_Systems
Iterative_Methods_for_Linear_Systems:_Theory_and_Applications |
| gptkbp:notableWork |
Krylov_subspace_methods_for_linear_algebra_problems
Krylov_subspace_methods_in_machine_learning |
| gptkbp:publishedBy |
Iterative Methods for Large Linear Systems
The_Krylov_Subspace_Method_for_Linear_Systems |
| gptkbp:publishes |
Matrix Computations
Numerical Methods for Solving Linear Systems Numerical Linear Algebra: A Practical Approach |
| gptkbp:researchAreas |
Scientific computing
Computational mathematics |
| gptkbp:researchContribution |
Matrix theory
Development of efficient algorithms |
| gptkbp:researchFocus |
High-performance computing
Algorithms for large-scale problems |
| gptkbp:researchInterest |
Iterative methods
Influence on future generations of mathematicians Significant contributions to numerical analysis |