Algorithms for Optimization (The MIT Press) - Image 1

£67.96

MIT Press Algorithms for Optimization (The MIT Press)

Name: Algorithms for Optimization (The MIT Press)
Brand: MIT Press
Price: 69.63 GBP
Availability: InStock

Black

AI & Machine Learning

Price History & Forecast

Last 8 days • 8 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 8 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £68 (4 days, 50.0%)

Price range: £68 - £70

Price levels: 2 different prices over 8 days

Description

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals. .

Key Features

New Store Stock

Product Specifications

Brand: MIT Press
Colour: Black
Format: Hardcover
ASIN: 0262039427
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 March 2019
Listed Since: 18 September 2018

Barcode

No barcode data available

MIT Press Algorithms for Optimization (The MIT Press)

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Algorithms for Decision Making

Optimization for Machine Learning (Neural Information Processing series)

Practical Optimization Methods : With Mathematical Applications

Engineering Optimization: Applications, Methods and Analysis (Wiley-ASME Press Series)

Computational Optimization: Success in Practice (Textbooks in Mathematics)

Optimization and Learning via Stochastic Gradient Search (Princeton Series in Applied Mathematics)

Optimization: Algorithms and Applications

An Introduction to Optimization: With Applications to Machine Learning

Engineering Optimization: Methods and Applications

Convex Analysis and Global Optimization: 110 (Springer Optimization and Its Applications, 110)

Optimization for Learning and Control

Biologically Inspired Optimization Methods: An Introduction

Practical Optimization: Algorithms and Engineering Applications

Stochastic Optimization Methods: Applications in Engineering and Operations Research

Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Engineering Optimization: An Introduction with Metaheuristic Applications

Deterministic Operations Research: Models and Methods in Linear Optimization

Optimization Concepts and Applications in Engineering

Fundamentals of Optimization Techniques with Algorithms

Linear Algebra and Optimization for Machine Learning: A Textbook

Optimization Methods for Product and System Design (Engineering Optimization: Methods and Applications)

Optimization―Theory and Applications: Problems with Ordinary Differential Equations: 17 (Stochastic Modelling and Applied Probability, 17)

Academic Press Multi-Objective Combinatorial Optimization Book