V. N. Krutikov
Papers
1
Total Citations
3
H-Index
1
About
V. N. Krutikov is a mathematician specializing in numerical optimization, with a particular focus on large-scale unconstrained optimization problems. His most notable contribution is the development of a modified Dai–Liao (DL) conjugate gradient method, which introduces scalar matrix approximations of the Hessian to accelerate convergence. This work, published in 2023, has already garnered 3 citations, reflecting its growing relevance in the field. Krutikov’s research addresses the critical challenge of efficiently solving complex optimization problems that arise in engineering, data science, and applied mathematics. By refining the conjugate gradient update parameter, his methods offer improved performance without sacrificing computational simplicity. His contributions are particularly valuable for researchers seeking robust algorithms for high-dimensional problems. Krutikov’s work stands out for its theoretical rigor and practical applicability, making him a key figure in advancing modern optimization techniques.
Research Focus
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Top Papers
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