《Mathematical Programming》雜志的最新年發文量為114篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在計算機：軟件工程領域的學術影響力。
該刊聚焦于數學-計算機：軟件工程領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 偏慢,4-8周 。
Mathematical Programming 雜志發文統計
文章名稱引用次數
- Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations71
- Data-driven robust optimization41
- Fast convergence of inertial dynamics and algorithms with asymptotic vanishing viscosity32
- DC programming and DCA: thirty years of developments29
- Linear convergence of first order methods for non-strongly convex optimization22
- Stochastic dual dynamic integer programming18
- An optimal randomized incremental gradient method18
- Robust sample average approximation15
- Accelerating the DC algorithm for smooth functions12
- Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval11
國家/地區發文量
- USA226
- GERMANY (FED REP GER)61
- France55
- CHINA MAINLAND44
- England29
- Canada26
- Switzerland25
- Australia23
- Chile23
- Italy21
