Advances in Applied Mathematics–70 www.elsevier.com/locate/yaama Symmetries of quantum graphs and the inverse scattering problem Jan Boman a,∗ , Pavel Kurasov b,c

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Advances in Applied Mathematics and Mechanics Adv. Appl. Math. Mech., Vol. x, No. x, pp. xx-xx DOI: xxxx XXXX 20xx

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CCaallll ffoorr PPaappeerrss Discrete Applied Mathematics Special Issue: Advances in Optimization _______________________________________________________ In an effort to promote interaction between researchers interested

Source URL: rutcor.rutgers.edu

CCaallll ffoorr PPaappeerrss Discrete Applied Mathematics Special Issue: Recent Advances in Linear Optimization _______________________________________________________ In an effort to promote interaction between research

Source URL: rutcor.rutgers.edu

 Conference Introduction The 2nd International Conference on Advances in Bioscience and Bioengineering (ICABB 2016) （http://www.icabb.org/） will be held in San Francisco, USA, during October 26-28, 2016. ICABB 201

Source URL: www.icabb.org

• Bioinformatics
• Biological engineering
• Biotechnology
• Biomedical text mining
• Academia
• Biology
• Applied mathematics

Advances in Applied Mathematics–430 www.elsevier.com/locate/yaama Counting consistent phylogenetic trees is #P-complete Magnus Bordewich a,∗ , Charles Semple b , John Talbot c

Source URL: community.dur.ac.uk

• Phylogenetics
• Binary trees
• Tree
• Phylogenetic tree
• Splay tree
• Computational phylogenetics
• Phylogenetic network
• Unrooted binary tree

ADVANCES IN APPLIED MATHEMATICS ARTICLE NO. 17, Ž

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Advances in Particle Swarm Optimization AP Engelbrecht Computational Intelligence Research Group (CIRG) Department of Computer Science University of Pretoria South Africa

Source URL: www.wcci2016.org

• Mathematical optimization
• Operations research
• Evolutionary algorithms
• Metaheuristics
• Particle swarm optimization
• Swarm intelligence
• Applied mathematics
• Multi-objective optimization
• Numerical analysis
• Computational intelligence
• Cognition
• Swarm behaviour

ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

Source URL: arxiv.org

• Artificial neural networks
• Applied mathematics
• Machine learning
• Cybernetics
• Recurrent neural network
• Deep learning
• Long short-term memory
• Stochastic gradient descent
• Convolutional neural network
• Rectifier
• Backpropagation
• Gradient descent

Advances in Applied Mathematics and Mechanics Adv. Appl. Math. Mech., Vol. 1, No. 6, ppDOI: aamm.09-m09S06 December 2009

Source URL: www.cis.umac.mo