Science Explorer Back to mapMap
Discussion

Advanced Optimization Algorithms Research

Advanced Optimization Algorithms Research is a research topic within Numerical Analysis. Science Explorer counts 30k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers advances in numerical optimization techniques, including topics such as benchmarking optimization software, semidefinite programming, global optimization, derivative-free optimization, and the application of sum of squares techniques. It also explores interior-point methods, quadratic programming, and mixed-integer nonlinear programs.

  • Optimization Software
  • Semidefinite Programming
  • Global Optimization
  • Nonlinear Programming
  • Interior-Point Methods
  • Derivative-Free Optimization
  • Quadratic Programming
  • Convex Optimization
  • Mixed-Integer Nonlinear Programs
  • Sum of Squares Techniques
Research works
30k
fractional, since 1950
In the world top 10%
2.9k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+7%
the tick is no change
Largest producer
China
37% of the 10 largest, 2022-now
Advanced Optimization Algorithms Research
Drawing this view