Matrix Algorithms in MATLAB

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity. The book provides an overview and classification of the interrelations of various algorithms, as well as numerous examples to demonstrate code usage and the properties of the presented algorithms. Despite the wide availability of computer programs for matrix computations, it continues to be an active area of research and development. New applications, new algorithms, and improvements to old algorithms are constantly emerging. Presents the first book available on matrix algorithms implemented in real computer code Provides algorithms covered in three parts, the mathematical development of the algorithm using a simple example, the code implementation, and then numerical examples using the code Allows readers to gain a quick understanding of an algorithm by debugging or reading the source code Includes downloadable codes on an accompanying companion website, www.matrixalgorithmsinmatlab.com, that can be used in other software development

Produk Detail:

  • Author : Ong U. Routh
  • Publisher : Academic Press
  • Pages : 478 pages
  • ISBN : 0128038691
  • Rating : 4/5 from 1 reviews
CLICK HERE TO GET THIS BOOKMatrix Algorithms in MATLAB

Matrix Algorithms in MATLAB

Matrix Algorithms in MATLAB
  • Author : Ong U. Routh
  • Publisher : Academic Press
  • Release : 22 April 2016
GET THIS BOOKMatrix Algorithms in MATLAB

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity. The book provides an overview and classification of the interrelations of various algorithms,

Matrix Theory and Applications with MATLAB

Matrix Theory and Applications with MATLAB
  • Author : Darald J. Hartfiel
  • Publisher : CRC Press
  • Release : 19 December 2017
GET THIS BOOKMatrix Theory and Applications with MATLAB

Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for

Data Mining for Scientific and Engineering Applications

Data Mining for Scientific and Engineering Applications
  • Author : R.L. Grossman,C. Kamath,P. Kegelmeyer,V. Kumar,R. Namburu
  • Publisher : Springer Science & Business Media
  • Release : 31 October 2001
GET THIS BOOKData Mining for Scientific and Engineering Applications

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well

Optimization

Optimization
  • Author : Rajesh Kumar Arora
  • Publisher : CRC Press
  • Release : 06 May 2015
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Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co

Geographic Information Science

Geographic Information Science
  • Author : Max J. Egenhofer,Christian Freksa,Harvey J. Miller
  • Publisher : Springer
  • Release : 11 January 2005
GET THIS BOOKGeographic Information Science

This section gives a description of notions used throughout this study. Current achievements in developing action-centered ontologies are also discussed. 2.1 Ontologies In the context of information extraction and retrieval, different kinds of ontologies can be distinguished [15]: • Top-level ontologies describe very general concepts like space and time, not depending on a particular domain, • Domain ontologies and task ontologies describe the vocabulary related to a generic domain or kind of task, detailing the terms used in the top-level ontology, • Application ontologies describe

Geographic Information Science

Geographic Information Science
  • Author : Departments of Surveying Engineering and Computer Science Max J Egenhofer,Max J. Egenhofer,Christian Freksa,Harvey J. Miller
  • Publisher : Springer Science & Business Media
  • Release : 15 October 2004
GET THIS BOOKGeographic Information Science

This book constitutes the refereed proceedings of the Third International Conference on Geographic Information Secience, GIScience 2004, held in Adelphi, MD, USA in October 2004. The 25 revised full papers presented were carefully reviewed and selected from many submissions. Among the topics addressed are knowledge mapping, geo-self-organizing maps, space syntax, geospatial data integration, geospatial modeling, spatial search, spatial indexing, spatial data analysis, mobile ad-hoc geosensor networks, map comparison, spatiotemporal relations, ontologies, and geospatial event modeling.

GMDH-Methodology and Implementation in MATLAB

GMDH-Methodology and Implementation in MATLAB
  • Author : Godfrey Onwubolu
  • Publisher : World Scientific
  • Release : 14 June 2016
GET THIS BOOKGMDH-Methodology and Implementation in MATLAB

Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine. This is the first book to explore GMDH using MATLAB (matrix laboratory) language. Readers will learn how to implement GMDH in MATLAB as a method of dealing with big

Numerical Linear Algebra with Applications

Numerical Linear Algebra with Applications
  • Author : William Ford
  • Publisher : Academic Press
  • Release : 14 September 2014
GET THIS BOOKNumerical Linear Algebra with Applications

Numerical Linear Algebra with Applications is designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, using MATLAB as the vehicle for computation. The book contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is

Condition Monitoring Algorithms in MATLAB®

Condition Monitoring Algorithms in MATLAB®
  • Author : Adam Jablonski
  • Publisher : Springer Nature
  • Release : 20 January 2021
GET THIS BOOKCondition Monitoring Algorithms in MATLAB®

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®. In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data

Matrix Methods in Data Mining and Pattern Recognition

Matrix Methods in Data Mining and Pattern Recognition
  • Author : Lars Elden
  • Publisher : SIAM
  • Release : 12 July 2007
GET THIS BOOKMatrix Methods in Data Mining and Pattern Recognition

Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application.Matrix Methods in Data Mining and Pattern Recognition is divided into three parts. Part I gives a short introduction to a few application

Advances in Computational Algorithms and Data Analysis

Advances in Computational Algorithms and Data Analysis
  • Author : Sio-Iong Ao,Burghard B. Rieger,Su-Shing Chen
  • Publisher : Springer Science & Business Media
  • Release : 28 September 2008
GET THIS BOOKAdvances in Computational Algorithms and Data Analysis

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Fixed-Point Algorithms for Inverse Problems in Science and Engineering

Fixed-Point Algorithms for Inverse Problems in Science and Engineering
  • Author : Heinz H. Bauschke,Regina S. Burachik,Patrick L. Combettes,Veit Elser,D. Russell Luke,Henry Wolkowicz
  • Publisher : Springer Science & Business Media
  • Release : 27 May 2011
GET THIS BOOKFixed-Point Algorithms for Inverse Problems in Science and Engineering

"Fixed-Point Algorithms for Inverse Problems in Science and Engineering" presents some of the most recent work from top-notch researchers studying projection and other first-order fixed-point algorithms in several areas of mathematics and the applied sciences. The material presented provides a survey of the state-of-the-art theory and practice in fixed-point algorithms, identifying emerging problems driven by applications, and discussing new approaches for solving these problems. This book incorporates diverse perspectives from broad-ranging areas of research including, variational analysis, numerical linear algebra,