Zaikun Zhang is a professor and applied mathematician specializing in computational mathematics and optimization, with a career spanning postdoctoral positions in Europe and faculty roles in Hong Kong and Guangzhou. He earned his PhD from the Academy of Mathematics and Systems Science and has built a research-focused profile over six years of tracked experience, emphasizing theory-driven algorithm development. His work bridges rigorous mathematics and practical optimization methods, with an academic footprint accessible via a detailed homepage and CV. Notably, he moved from international postdoctoral research to a professorship at Sun Yat-sen University, reflecting both global training and leadership in mathematical research.
6 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Mathematics, Doctor of Philosophy (PhD), Computational Mathematics at Academay of Mathematics and Systems Science
Bachelor of Science (BSc), Computational Mathematics, Bachelor of Science (BSc), Computational Mathematics at Jilin University
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration. PRIMA provides the reference implementation of Powell's derivative-free optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.
Contributions:1730 pushes, 28 branches in 2 years
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