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What is Gradient

Chapter 231
Encyclopedia of Business Analytics and Optimization
The vector of first partial derivatives.
Published in Chapter:
Unconstrained Optimization in Business Analytics
William P. Fox (Naval Postgraduate School, USA)
Copyright: © 2014 |Pages: 13
DOI: 10.4018/978-1-4666-5202-6.ch231
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 588
Image Segmentation Methods
A gradual transition between one or more colors. In mathematics, the gradient is a generalization of the usual concept of derivative to functions of several variables.
Published in Chapter: Image Segmentation Methods; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 7
Limitations and Implications of Doubling Time Approach in COVID-19 Infection Spreading Study: A Gradient Smoothing Technique
Gradient represents direction or slope. For a given two points i.e. ( . ). and ( . )., the gradient is calculated as = .
Published in Chapter: Limitations and Implications of Doubling Time Approach in COVID-19 Infection Spreading Study: A Gradient Smoothing Technique; From: Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance
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Chapter 2
Swarm-Based Nature-Inspired Metaheuristics for Neural Network Optimization
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Chapter 194
Simulation Optimization and a Case Study
Gradient vector of a function is the partial derivatives with respect to each of the independent variables.
Published in Chapter: Simulation Optimization and a Case Study; From: Encyclopedia of Business Analytics and Optimization
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Chapter 170
Reinforcement Learning for Combinatorial Optimization
The steepness of the slope at that point is given by the magnitude of the gradient vector.
Published in Chapter: Reinforcement Learning for Combinatorial Optimization; From: Encyclopedia of Data Science and Machine Learning
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Chapter 7
Edge Detection on Light Field Images: Evaluation of Retinal Blood Vessels Detection on a Simulated Light Field Fundus Photography
Known in arithmetic as the first derivative function, is a vector describing the position and the orientation of a variation. this variation is a function defined by the variation of its various parameters. The symbol ? denotes it.
Published in Chapter: Edge Detection on Light Field Images: Evaluation of Retinal Blood Vessels Detection on a Simulated Light Field Fundus Photography; From: Intelligent Systems for Healthcare Management and Delivery
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