Essays about: "SUB SPACE METHOD"

Showing result 1 - 5 of 44 essays containing the words SUB SPACE METHOD.

  1. 1. A review of the Kaczmarz method

    University essay from Lunds universitet/Matematikcentrum; Lunds universitet/Matematik (naturvetenskapliga fakulteten)

    Author : Carl Lokrantz; [2023]
    Keywords : Kaczmarz method; Least squares; Image reconstruction; Iterative method; Linear system of equations; Projection; Numerical Linear Algebra; Block Kaczmarz; Greedy Kaczmarz; Randomized Kaczmarz; Mathematics and Statistics;

    Abstract : The Kaczmarz method is an iterative method for solving linear systems of equations. The Kaczmarz method has been around since it was developed by Kaczmarz 1937. The main idea behind the original Kaczmarz method is to orthogonally project the previous x_k onto the solution space given by a row of the system. READ MORE

  3. 2. Health Care for All : A Qualitative Exploration of Health, Space, and Accessability in Kajiado, Kenya.

    University essay from Malmö universitet/Institutionen för vårdvetenskap (VV)

    Author : Alice Ewing; [2023]
    Keywords : Accessibility; Kenya; Nursing; Spatiality; Universal Health Care.; Allmän hälso- och sjukvård; Kenya; Rumslighet; Tillgänglighet; Omvårdnad.;

    Abstract : Background: Health inaccessibility is a global phenomenon: as of today, askewed distribution of health care can be seen in both low- and high-incomecountries. Mostly affected are however nomadic people in Sub-Saharan Africa. READ MORE

  4. 3. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

    Author : Anton Zackrisson; [2023]
    Keywords : electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

    Abstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE

  5. 4. Investigating a possible dearth of stars with zero angular momentum in the solar neighbourhood.

    University essay from Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Fysiska institutionen

    Author : Aayush Desai; [2023]
    Keywords : Galaxy: disk; Galaxy: fundamental parameters; Galaxy: kinematics and dynamics; Galaxy: nucleus; solar neighborhood; stars: kinematics and dynamics; Physics and Astronomy;

    Abstract : Background. Carlberg & Innanen (1987) first proposed the idea of measuring the solar re- flex velocity (the velocity of the Sun around the galactic centre), Vg,⊙, using the momenta of the stars in the solar neighbourhood. The proposal was a consequence of the work of L. READ MORE

  6. 5. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

    University essay from Uppsala universitet/Industriell teknik

    Author : Mohammad Al-Jaff; [2023]
    Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

    Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE