Decomposability of Tensors by Luca Chiantini (Ed.)

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Quantum Theory of Angular Momentum by Varshalovich, Varshalovich

Subjects: “…Angular Momentum; Vectors Theory; Tensor Theory; Wigner D-Functions; Spherical Harmonics; Spin Functions; Tensor Spherical Harmonics; Clebsch-Gordan Coefficients; Racah Coefficients…”
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Alzheimer's Disease and the Fornix by Constantine G. Lyketsos

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Seismic Wave Propagation in Stratified Media by Kennett, Brian

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Seismic Wave Propagation in Stratified Media by Kennett, Brian

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Fiber Orientation Tensors and Mean Field Homogenization Application to Sheet Molding Compound by Bauer, Julian Karl

Subjects: “…Faserorientierungstensor; Mikrostruktur; Homogenisierung; Anisotropie; Elastizität; Fiber orientation tensor; Fiber-reinforced composites; Mean field homogenization; Anisotropy; Elasticity…”
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Fiber Orientation Tensors and Mean Field Homogenization Application to Sheet Molding Compound by Bauer, Julian Karl

Subjects: “…Faserorientierungstensor; Mikrostruktur; Homogenisierung; Anisotropie; Elastizität; Fiber orientation tensor; Fiber-reinforced composites; Mean field homogenization; Anisotropy; Elasticity…”
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Convex Optimization for Machine Learning by Suh, Changho

Subjects: “…Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography…”
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Convex Optimization for Machine Learning by Suh, Changho

Subjects: “…Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography…”
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Brain Connectivity in Autism by Lucina Q. Uddin

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Group Theory for the Standard Model of Particle Physics and Beyond by Barnes, Ken J.

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Group Theory for the Standard Model of Particle Physics and Beyond by Barnes, Ken J.

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Bridging the gap before and after birth: Methods and technologies to explore the functional neural development in humans by Marika Berchicci

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Information Theory for Data Science by Suh, Changho

Subjects: “…Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow…”
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Information Theory for Data Science by Suh, Changho

Subjects: “…Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow…”
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Anisotropy Across Fields and Scales

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Anisotropy Across Fields and Scales

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Branes and DAHA Representations by Gukov, Sergei

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Branes and DAHA Representations by Gukov, Sergei

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Information Geometry by Verdoolaege, Geert

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