The SIAM Journal on Optimization is dedicated to the theory, algorithms, and applications of optimization. The journal offers timely publication of leading research across the discipline of optimization.
This journal focuses on areas including linear and nonlinear programming, convex optimization, nonsmooth optimization, stochastic optimization, combinatorial optimization, and optimal control. It covers theoretical foundations, algorithm development, and real-world applications across various fields. The SIAM Journal on Optimization also explores mathematical modeling and differential equations to solve complex optimization problems.
The journal aims to be a vital resource for researchers, practitioners, and students interested in the latest advancements in optimization. With its broad scope and rigorous peer-review process, it contributes significantly to the optimization field. The journal encourages submissions that bridge the gap between theory and application, promoting innovative solutions to pressing real-world challenges. Ideal for researchers in applied mathematics, computer science, and engineering.