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Advances in Data Science and Optimization of Complex Systems: Proceedings of the International Conference on Applied Mathematics and Computer Science ICAMCS 2024, Volume 1 [Pehme köide]

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  • Formaat: Paperback / softback, 557 pages, kõrgus x laius: 235x155 mm, 161 Illustrations, color; 63 Illustrations, black and white; XIII, 557 p. 224 illus., 161 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1311
  • Ilmumisaeg: 05-Jun-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031906055
  • ISBN-13: 9783031906053
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  • Pehme köide
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  • Formaat: Paperback / softback, 557 pages, kõrgus x laius: 235x155 mm, 161 Illustrations, color; 63 Illustrations, black and white; XIII, 557 p. 224 illus., 161 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1311
  • Ilmumisaeg: 05-Jun-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031906055
  • ISBN-13: 9783031906053
Teised raamatud teemal:

This proceeding set contains 81 selected full papers presented at the International Conference on Applied Mathematics and Computer Science (ICAMCS 2024), which was held on December 20-21, 2024 in Hanoi, Vietnam, in honor of Professors Pham Dinh Tao and Le Thi Hoai An for the 40th birthday of DC (Difference of Convex functions) programming and DCA (DC Algorithm). The book covers theoretical and algorithmic as well as practical issues connected with several domains of Applied Mathematics and Computer Science, especially Optimization and Data Science. The present part I of the 2-volume set includes articles devoted to Mathematical programming and optimization, DC Programming & DCA, Operations research and decision making, Economics & Finance, Engineering Systems, Autonomous systems, Information theory and Information security. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools and techniques for their own work.

.- 1 On Solving Difficult Combinatorial Optimization Problems
Efficiently A New Framework.- Variants of inertial algorithms for
nonmonotone equilibrium problems.- Recovering Linear Causal Models with
Latent Variables via Cholesky Factorization of Covariance Matrix.- Computing
sparse generalized inverses for least-squares.- Dynamic Regret for Online
Proximal Newtons Method, etc.