Results 31 to 40 of about 521,418 (127)
Optimization of Trading Physics Models of Markets [PDF]
We describe an end-to-end real-time S&P futures trading system. Inner-shell stochastic nonlinear dynamic models are developed, and Canonical Momenta Indicators (CMI) are derived from a fitted Lagrangian used by outer-shell trading models dependent on ...
Ingber, Lester, Mondescu, Radu Paul
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Divine illumination and the mystical path in St. Augustine's theology
This paper examines the epistemological, ontological and mystical aspects of St. Augustine's thought, showing how his reflection on faith, religious experience and cognition shapes a coherent vision of the human relationship with God.
Robert Warchał
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As human beings, we are driven by two eternal feelings in perpetual fight: the search for order and the fascination of chaos. Man live inside this fight: between body and language, substance and history, soul and its biological reflections.
Paolo Nardi
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Combinatorial optimization and metaheuristics [PDF]
Today, combinatorial optimization is one of the youngest and most active areas of discrete mathematics. It is a branch of optimization in applied mathematics and computer science, related to operational research, algorithm theory and computational ...
Consoli, S, Darby-Dowman, K
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Graphical Markov models, unifying results and their interpretation
Graphical Markov models combine conditional independence constraints with graphical representations of stepwise data generating processes.The models started to be formulated about 40 years ago and vigorous development is ongoing.
Allman +117 more
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Exploring the Meanings and Dimensions of Nature in Poetry, Painting, and Literary Tourism of the Romanticism [PDF]
This study investigates the essence and manifestations of nature in the works of Romantic poets such as Lord Byron and Emerson, as well as painters like Thomas Cole.
Faeze Homayouni, Farideh Afarin
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An extension of the projected gradient method to a Banach space setting with application in structural topology optimization [PDF]
For the minimization of a nonlinear cost functional $j$ under convex constraints the relaxed projected gradient process $\varphi_{k+1} = \varphi_{k} + \alpha_k(P_H(\varphi_{k}-\lambda_k \nabla_H j(\varphi_{k}))-\varphi_{k})$ is a well known method.
Blank, Luise, Rupprecht, Christoph
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A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem [PDF]
We consider solving the $\ell_1$-regularized least-squares ($\ell_1$-LS) problem in the context of sparse recovery, for applications such as compressed sensing. The standard proximal gradient method, also known as iterative soft-thresholding when applied
Xiao, Lin, Zhang, Tong
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Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA
Memory-augmented neural networks (MANNs) are designed for question-answering tasks. It is difficult to run a MANN effectively on accelerators designed for other neural networks (NNs), in particular on mobile devices, because MANNs require recurrent data ...
Jang, Jaehee +3 more
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This paper focuses on the problem of the entirety of knowledge of the world, in particular the problem of knowledge of the “invisible”. The authors use a phenomenological research method, complemented by elements of the naturalistic method.
Olga Dolska, Tetiana Dyshkant
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