'Conjugate gradients' presentation slideshows

Steepest Decent and Conjugate Gradients (CG)

Steepest Decent and Conjugate Gradients (CG). Steepest Decent and Conjugate Gradients (CG). Solving of the linear equation system. Steepest Decent and Conjugate Gradients (CG). Solving of the linear equation system Problem : dimension n too big, or not enough time for gauss elimination

804 views • 68 slides

Counting position weight matrices in a sequence & an application to discriminative motif finding

Counting position weight matrices in a sequence & an application to discriminative motif finding. Saurabh Sinha Computer Science University of Illinois, Urbana-Champaign. GENE. A C A G TG A. PROTEIN. Transcriptional Regulation. TRANSCRIPTION FACTOR. GENE. A C A G TG A. PROTEIN.

532 views • 43 slides

Minimizing Communication in Linear Algebra

490 views • 37 slides

Marivi Fernandez-Serra CECAM

Molecular dynamics (MD) in different ensembles, geometry optimizations and calculation of vibrational spectrum. Marivi Fernandez-Serra CECAM. Born-Oppenheimer dynamics. Nuclei are much slower than electrons. electronic. decoupling. nuclear.

535 views • 34 slides

Gaussian Processes in Machine Learning

Gaussian Processes in Machine Learning . Gerhard Neumann, Seminar F, WS 05/06 . Outline of the talk. Gaussian Processes (GP) [ma05, rs03] Bayesian Inference GP for regression Optimizing the hyperparameters Applications GP Latent Variable Models [la04] GP Dynamical Models [wa05].

539 views • 31 slides

Optimization & Learning for Registration of Moving Dynamic Textures

Optimization & Learning for Registration of Moving Dynamic Textures. Junzhou Huang 1 , Xiaolei Huang 2 , Dimitris Metaxas 1 Rutgers University 1 , Lehigh University 2. Outline. Background Goals & Problems Related Works Proposed Method Experiment Results Discussion & Conclusion.

359 views • 28 slides

390 views • 28 slides

CS240A: Conjugate Gradients and the Model Problem

362 views • 24 slides

Sparse Matrix Solvers on the GPU: Conjugate Gradients and Multigrid

416 views • 19 slides

Introduction to Scientific Computing II

344 views • 19 slides

Phase Retrieval of Scattered Fields

Phase Retrieval of Scattered Fields. Greg Hislop and Andrew Hellicar CSIRO, ICT Centre, Sydney greg.hislop@csiro.au. Introduction.

133 views • 13 slides

Unconstrained optimization

472 views • 12 slides