University of California-Merced

Prof. Ming-Hsuan Yang

The content listed below has not been created by Prof. Ming-Hsuan Yang

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Prof. Ming-Hsuan Yang

The content listed below has not been created by Prof. Ming-Hsuan Yang

1

1 review

This professor on Docsity

Subjects

Computer Architecture and Organization

Computer Science

Documents

Notes on Matrix Computation and Analysis - Matrix Computation | CSE 275

Eigenvalue Problem, Schur Decomposition - Lecture Slides | CSE 275

Chapter 7: Multicores, Multiprocessors, and Clusters | CSE 140

Eigenvalue Algorithms, Power Iteration - Lecture Slides | CSE 275

Conditioning and Sensitivity Analysis in Matrix Computation - Prof. Ming-Hsuan Yang

Matrix Computation: QR Decomp. with Householder Transformations and Givens Rotations - Pro

Notes on Elementary Analytical and Topological Properties | CSE 275

Large and Fast: Exploiting Memory Hierarchy | CSE 140

Multidimensional Scaling, Spectral Clustering and Graph Theory | CSE 275

Matrix Computation: Understanding Gram-Schmidt Process and QR Decomposition - Prof. Ming-H

Slides on Steepest Descent, Conjugate Gradient - Matrix Computation | CSE 275

Notes on Orthogonal Projection, Distance Between Subspaces | CSE 275

Optimality & Convergence of Conjugate Gradients: Minimizing Quadratic Functions - Prof. Mi

Generalized Minimal Residual Method and Lanczos Method - Slides | CSE 275

Condition, Perturbation and Stability - Matrix Computation | CSE 275

Sparse Representation & Coding: Overcomplete Dictionaries & Signal Decomposition - Prof. M

Karhunen Loeve Transform - Matrix Computation - Lecture Slides | CSE 275

Matrix Computation: Iterative Methods and Arnoldi Algorithm - Prof. Ming-Hsuan Yang

Matrix Computation: Gaussian Elimination, Decomposition, Quadratic Forms (Lecture 10) - Pr

I/O Devices Characterization: Dependability, Performance, and Storage Technologies - Prof.

Matrix Properties via Singular Value Decomposition - Lecture Slides | CSE 275

Matrix Computation Lecture 3: Matrix 2-Norm, Range, Null Space, and Matrix Inverse - Prof.

Approximating Large-Scale Matrix Multiplication and Low-Rank Matrix Approximation - Prof.

Understanding Branch Instructions and Data Hazards in the MIPS Processor - Prof. Ming-Hsua

Compressive Sensing: Understanding Sparsity and Compressible Signals - Prof. Ming-Hsuan Ya

QR Algorithm Without Shifts, Simultaneous Iteration - Lecture Slides | CSE 275

Understanding 2s-Complement Integers & Instruction Encoding in Computer Architecture - Pro

Matrix Computation: Multivariate Gaussian, Mahalanobis Distance, and Probabilistic PCA - P

Minimizing Norms with Equality Constraints in Underdetermined Equations - Prof. Ming-Hsuan

Understanding Regression and Linear Estimation: Least Squares and Matrix Computation - Pro

Orthogonality and Singular Value Decomposition (SVD) in Matrix Computation - Prof. Ming-Hs