Black Box Optimization, Machine Learning, and No-Free Lunch Theorems: 170 (Springer Optimization and Its Applications, 170) - Image 1

£103.66

Springer Black Box Optimization, Machine Learning, and No-Free Lunch Theorems: 170 (Springer Optimization and Its Applications, 170)

Name: Black Box Optimization, Machine Learning, and No-Free Lunch Theorems: 170 (Springer Optimization and Its Applications, 170)
Brand: Springer
Price: 103.66 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£104 today · cheaper than every other day in the last 2 months

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 13 days • 13 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 13 days • 1 price levels

Days at Price

Price Analysis

Most common price: £104 (13 days, 100.0%)

Price range: £104 - £104

Price levels: 1 different prices over 13 days

Description

This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030665143
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 27 June 2021
Listed Since: 20 November 2020

Barcode

No barcode data available

Springer Black Box Optimization, Machine Learning, and No-Free Lunch Theorems: 170 (Springer Optimization and Its Applications, 170)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems: 170 (Springer Optimization and Its Applications, 170)

Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages: 307 ... Research & Management Science, 307)

Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages: 307 ... Research & Management Science, 307)

Linear and Nonlinear Programming: 116 (International Series in Operations Research & Management Science, 116)

Optimization Theory and Methods: Nonlinear Programming: 1 (Springer Optimization and Its Applications, 1)

Optimization Theory and Methods: Nonlinear Programming: 1 (Springer Optimization and Its Applications, 1)

Mathematical Optimization and Economic Analysis: 36 (Springer Optimization and Its Applications)

Linear and Nonlinear Programming: 116 (International Series in Operations Research & Management Science)

Mathematical Optimization and Economic Analysis: 36 (Springer Optimization and Its Applications, 36)

Optimization in Engineering: Models and Algorithms: 120 (Springer Optimization and Its Applications, 120)

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

Linear Optimization for Business: Theory and practical application

Optimization Theory: A Concise Introduction

Optimization―Theory and Practice (Springer Undergraduate Texts in Mathematics and Technology)

Engineering Optimization: Methods and Applications

Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective (Engineering Optimization: Methods and Applications)

Derivative-Free and Blackbox Optimization (Springer Series in Operations Research and Financial Engineering)

Linear and Nonlinear Optimization: 253 (International Series in Operations Research & Management Science, 253)

Optimization: Structure and Applications: 32 (Springer Optimization and Its Applications, 32)

Linear and Nonlinear Optimization: 253 (International Series in Operations Research & Management Science, 253)

Nonlinear Multiobjective Optimization: 12 (International Series in Operations Research & Management Science, 12)

Nonlinear Programming: Theory and Algorithms

Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing: 21 (Wiley Series in Discrete Mathematics & Optimization)

Nonlinear Optimization