会议信息

SYNASC 2021: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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SYNASC
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截稿日期:
2021-08-31
通知日期:
2021-09-30
会议日期:
2021-12-07
会议地点:
Timisoara, Romania
届数:
23
浏览: 26547   关注: 0   参加: 0

会伴指数 (CP-I)

49.4 / 100
全站第 1,702 名 / 共 5,682 个会议 · 前 30%

理论与算法 第 76 / 142 系统与体系结构 第 165 / 341

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
86
社区关注 (10%)
10
资料公开度 (15%)
25

用到的输入: 有据可查的届次：23 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-14

征稿

SYNASC 2021 (International Symposium on Symbolic and Numeric Algorithms for Scientific Computing) is an academic conference held in Timisoara, Romania on 2021-12-07. The paper submission deadline is 2021-08-31. Acceptance notifications are sent on 2021-09-30.

=== Tracks === * Symbolic Computation + computer algebra + symbolic techniques applied to numerics + hybrid symbolic and numeric algorithms + numerics and symbolics for geometry + programming with constraints, narrowing * Numerical Computing + iterative approximation of fixed points + solving systems of nonlinear equations + numerical and symbolic algorithms for differential equations + numerical and symbolic algorithms for optimization + parallel algorithms for numerical computing + scientific visualization and image processing * Logic and Programming + automatic reasoning + formal system verification + formal verification and synthesis + software quality assessment + static analysis + timing analysis * Artificial Intelligence + knowledge discovery, representation, and management + automated reasoning, uncertain reasoning, and constraint strategies + recommender and expert systems + intelligent systems, agents, and networks + agent-based complex systems + AI-based systems for scientific computing + machine learning, including deep learning models and technologies + explainable and trustworthy AI + information retrieval, data mining, text mining and web mining + computational intelligence - including fuzzy, neural and evolutionary computing + AI applications: natural language processing, computer vision, signal processing, stock market, computational neuroscience, robotics, autonomous vehicles, medical diagnosis, cybersecurity, digital design, online education * Distributed Computing + modelling of parallel and distributed systems + parallel and distributed algorithms + architectures for parallel and distributed systems. + applications for parallel and distributed systems, + acceleration of AI or Big Data applications using distributed and parallel computing + networked intelligence and Internet of Things * Theory of Computing + data structures and algorithms + combinatorial optimization + formal languages and combinatorics on words + graph-theoretic and combinatorial methods in computer science + algorithmic paradigms, including distributed, online, approximation, probabilistic, game-theoretic algorithms + computational complexity theory, including structural complexity, boolean complexity, communication complexity, average-case complexity, derandomization and property testing + logical approaches to complexity, including finite model theory + algorithmic and computational learning theory + aspects of computability theory, including computability in analysis and algorithmic information theory + proof complexity + computational social choice and game theory + new computational paradigms: CNN computing, quantum, holographic and other non-standard approaches to computability + randomized methods, random graphs, threshold phenomena and typical-case complexity + automata theory and other formal models, particularly in relation to formal verification methods such as model checking and runtime verification + applications of theory, including wireless and sensor networks, computational biology and computational economics + experimental algorithmics
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