Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing: 3 - Image 1

£162.32

Springer Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing: 3

Name: Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing: 3
Brand: Springer
Price: 162.32 GBP
Availability: InStock

Higher Education

This is the most expensive it has ever been. Walk away.

£162 today · previous high £162 · all-time low £146

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 52 days · 52 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 52 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £146 (51 days, 98.1%)

Price range: £146 - £162

Price levels: 2 different prices over 52 days

Description

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain like Clifford Fourier Transforms, Deep Learning and Geometric Algebra Convolutional Neural Networks, Quaternion Quantum Fourier Transform and Geometric Quantum Computing. Topics and features · Introduces nonspecialists to Clifford, or geometric algebra and by example encourages the reader to learn to compute using geometric entities and geometric formulations. · A study in depth for applications of Lie group theory, Lie algebra, projective geometry, and the algebra of incidence using the conformal geometric algebra. · Features the computing frameworks of the linear model n-dimensional affine plane and the nonlinear model of Euclidean space known as the horosphere, and addresses the relationships of these models to conformal, affine, and projective geometries. · Includes a thorough study of Integral transforms: Quaternion and Clifford Transforms, quaternion analytic signal, monogenic signals, Hilbert transform, Riesz transform, Clifford Fourier Transform, Quaternion Wavelet transforms, Quaternion Quantum Fourier Transform, 3D Radon Transform and Hough-Transform in geometric algebra. · Color image processing using the color model HSV, Quaternion Split rotors and motors, and the space-time Lorentz transform. · Geometric neural computing using Split Quaternions, Geometric Algebra neural networks, Clifford Support Vector Machine and Neuro Control. · Thorough discussion of several tasks of computer vision, graphics, neurocomputing, and robotics. machine learning, Deep Learning and CNNs, and Geometric Quantum Computing using the geometric algebra framework. · 130 exercises and hints for the development of future computer software packages for extensive calculations in geometric algebra. An entire section is dedicated to explaining how one should write the subroutines in C++, Phyton, Matlab, and Maple to carry out efficient geometric computations in the geometric algebra framework. Furthermore, it is shown how program code can be optimized for real-time computations. The book is an essential resource for applied mathematicians, physicists, computer scientists, graphics engineering, AI and Machine Learning researchers, roboticists and mechanical and electrical engineers, neurocomputing researchers, neuroscientists, and quantum computing specialists. It clarifies and demonstrates the importance of geometric computing for building autonomous systems and pushes forward advances in geometric cybernetics research.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3031663411
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 27 September 2024
Listed Since: 14 June 2024

Barcode

No barcode data available

Springer Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing: 3

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Geometric Algebra Applications Vol. II: Robot Modelling and Control: 2

Systems, Patterns and Data Engineering with Geometric Calculi: 13 (SEMA SIMAI Springer Series, 13)

Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics)

Applications of Geometric Algebra in Computer Science and Engineering

Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing: 1

Springer VipIMAGE 2017 - Medical Image Processing Proceedings

VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, ... in Computational Vision and Biomechanics, 27)

Modern Mathematics And Applications In Computer Graphics And Vision

Geometric Level Set Methods in Imaging, Vision, and Graphics

Springer Visualization and Mathematics III - Research Volume

Geometric Methods in Signal and Image Analysis

Birkhauser Analytic, Algebraic and Geometric Aspects of DE

Modern Mathematics And Applications In Computer Graphics And Vision

Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics

Visualization and Mathematics III (Mathematics and Visualization)

The Orbit Method in Geometry and Physics: In Honor of A.A. Kirillov: 213 (Progress in Mathematics, 213)

Geometry, Analysis and Probability: In Honor of Jean-Michel Bismut: 310 (Progress in Mathematics, 310)

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 (Volume 20) (Handbook of Numerical Analysis, Volume 20)

Lineare Algebra und Analytische Geometrie in Fragen und Übungsaufgaben (Mathematik für Ingenieure und Naturwissenschaftler, Ökonomen und Landwirte)

Foundations of Geometric Algebra Computing: 8 (Geometry and Computing, 8)

Foundation Mathematics for Computer Science: A Visual Approach

3D Rotations: Parameter Computation and Lie Algebra based Optimization

Multiplanes and Multispheres: Notes on a Grassmann Algebra approach with Mathematica