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Full Description
This book covers quantum mechanics and its applications across multiple fields, starting with parameter estimation and probability density functions, and examines quantum systems, statistical image processing, and mathematical frameworks. The book connects theoretical physics with applications in robotics, neural networks, and computer vision.
Quantum mechanics with stochastic calculus and filtering theory
Radon transform applications in image reconstruction
Quantum field theories and chiral anomalies
Algebraic geometry and group theory applications
Supersymmetry, cohomology, and quantum effective action
Suitable for graduate students and researchers in physics, mathematics, and computer science, this book provides theoretical foundations and practical applications for understanding quantum systems and computational implementations.
This title has been co-published with Manakin Press. Taylor & Francis does not sell or distribute the print edition in India, Pakistan, Nepal, Bhutan, Sri Lanka and Bangladesh.
Contents
Chapter 1: Parameter Estimation, Probability Density, Quantum Mechanics, Blackhole Physics, and Robot Tracking
Chapter 2: Tracking Pdfs Through Control, Quantum Systems, Neural Network, and Belavkin Filters
Chapter 3: Statistical Image Processing, Quantum Mechanics Parameters, Metric Estimation, String Theory, Stochastic Calculus, Group Representations.
Chaoter 4: Radon Transform Applications in Computer Vision and Image Reconstruction
Chapter 5: Chiral Anomalies and Atiyash-Singer Index Theorem Applications.
Chapter 6: Anomalies in Quantum Field Theories and Quantum Neural Networks
Chapter 7: Quantum Effective Action and Symmetry Breaking in Field Theories
Chapter 8: Algebraic Geometry, Robotics, Electromagnetics, Cosmology, and Filtering Theory Topics
Chapter 9: Quantum Mechanics, Stochastic Control, Supersymmetry, and Cohomology Applications.
Chapter 10: Algebraic Geometry, Superfield Theory, Electroweak Symmetry, and Stochastic Calculus
