Lipschitzian optimization without the Lipschitz constant

Abstract

loading...

About

This paper, published in 1950, received 1.3k indexed citations. Written by Donald R. Jones, C.D. Perttunen and B.E. Stuckman covering the research area of Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Signal Processing. It is primarily cited by scholars working on Computational Theory and Mathematics (487 citations), Artificial Intelligence (349 citations) and Numerical Analysis (216 citations). Published in Journal of Optimization Theory and Applications.

Countries where authors are citing Lipschitzian optimization without the Lipschitz constant

Since Specialization
Citations

This map shows the geographic impact of Lipschitzian optimization without the Lipschitz constant. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lipschitzian optimization without the Lipschitz constant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipschitzian optimization without the Lipschitz constant more than expected).

Fields of papers citing Lipschitzian optimization without the Lipschitz constant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Lipschitzian optimization without the Lipschitz constant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lipschitzian optimization without the Lipschitz constant.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1007/bf00941892.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026