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#Sparse Matrices

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The AI University

Machine Learning and Deep Learning Maths - Matrix and Vector Operations

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Explore essential matrix and vector operations for machine learning and deep learning using Python, covering creation, manipulation, and mathematical computations.
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19 Lesons
30 minutes
On-Demand
Free-Video
The Julia Programming Language

Structure and Matrices in Julia Programming - Lecture 3

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Explore matrices, sparse structures, and SVD for image compression and computational thinking in Julia, with practical applications in machine learning and linear algebra.
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13 Lesons
33 minutes
On-Demand
Free-Video
Institute for Advanced Study

Sparse Matrices in Sparse Analysis - Anna Gilbert

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Explore sparse matrices in compressive sensing, focusing on expander graphs and their applications. Learn about metric repair scenarios and algorithms for sparse signal recovery.
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12 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Inside Livermore Lab

FSSpMDM - Accelerating Small Sparse Matrix Multiplications by Run-Time Code Generation

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Explore code generation strategies for accelerating small sparse matrix multiplications in high-order finite element solvers, focusing on performant operator kernels for prismatic and hexahedral elements.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Spectrum of Sparse Inhomogeneous Random Graphs

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Explore the spectrum of sparse inhomogeneous random graphs, examining structural properties and applications in network science, probability theory, and statistical physics.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
ACM SIGPLAN

PDEs and Stencils - SPARSE 2024

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Explore PDEs and stencils in computational science, focusing on efficient numerical methods for solving partial differential equations.
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1 Lesons
24 minutes
On-Demand
Free-Video
ACM SIGPLAN

Exploiting Sparsity and Redundancy - SPARSE 2024

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Explore techniques for leveraging sparsity and redundancy in data structures and algorithms to optimize performance and resource utilization.
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1 Lesons
20 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Practical Quantum Circuits for Block Encodings of Sparse Matrices

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Explore efficient quantum circuits for block encodings of sparse matrices, focusing on strategies for well-structured matrices and quantum walks on graphs. Gain insights into quantum linear algebra algorithms.
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1 Lesons
38 minutes
On-Demand
Free-Video
Simons Institute

Coded Matrix Computation: Numerical Stability, Partial Stragglers, and Sparse Input Matrices

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Explore advanced techniques for high-dimensional matrix computations in distributed systems, addressing numerical stability, partial stragglers, and sparse input matrices.
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1 Lesons
43 minutes
On-Demand
Free-Video
Simons Institute

Polar Codes for IDS Channels

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Explore polar codes for IDS channels, addressing numerical instability, partial stragglers, and worker computation time in sparse matrix scenarios. Learn recent contributions to overcome these challenges.
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1 Lesons
39 minutes
On-Demand
Free-Video
CppNow

C++ Compile-Time Sparse Matrices for Linear Algebra and Tracking Applications

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Explore compile-time sparse matrices in C++ for efficient linear algebra and tracking applications, optimizing memory usage and performance through advanced type system techniques.
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15 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Squid: Schools for Quantum Information Development

Improved Approximations for Extremal Eigenvalues of Sparse Hamiltonians

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Discover advanced approximation techniques for eigenvalues in sparse Hamiltonians, exploring new methods for quantum systems with q-local terms and improved mathematical approaches for k-sparse configurations.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Julia Programming Language

Parallel Algebraic Multigrid in Julia with PartitionedArrays.jl - JuliaCon 2024

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Explore parallel algebraic multigrid methods in Julia using PartitionedArrays.jl. Learn about recent updates, implementation strategies, and advantages over traditional MPI-based approaches for large-scale linear solvers.
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1 Lesons
11 minutes
On-Demand
Free-Video
Data Science Conference

Building Decision-Making Assistants: Introduction to Recommendation Systems

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Explore recommendation systems from basic classification to advanced Netflix-style matrix factorization, covering content filtering, collaboration models, SVD, and PCA techniques.
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1 Lesons
32 minutes
On-Demand
Free-Video
Meeting Cpp

Compile-Time Sparse Matrices - Optimizing Memory and Performance

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Explore compile-time sparse matrices for efficient memory use and performance in C++ linear algebra. Learn to incorporate sparseness information, reduce storage, and optimize operations automatically.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video