£60.95

Mathematics of Optimization: How to Do Things Faster (Pure and Applied Undergraduate Texts)

Higher Education

Price data last checked 113 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

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

£61 today · previous high £61 · all-time low £61

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 618 days • 618 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 618 days • 1 price levels

Days at Price

Price Analysis

Most common price: £61 (618 days, 100.0%)

Price range: £61 - £61

Price levels: 1 different prices over 618 days

Description

Optimization Theory is an active area of research with numerous applications; many of the books are designed for engineering classes, and thus have an emphasis on problems from such fields. Covering much of the same material, there is less emphasis on coding and detailed applications as the intended audience is more mathematical. There are still several important problems discussed (especially scheduling problems), but there is more emphasis on theory and less on the nuts and bolts of coding. A constant theme of the text is the "why" and the "how" in the subject. Why are we able to do a calculation efficiently? How should we look at a problem? Extensive effort is made to motivate the mathematics and isolate how one can apply ideas/perspectives to a variety of problems. As many of the key algorithms in the subject require too much time or detail to analyze in a first course (such as the run-time of the Simplex Algorithm), there are numerous comparisons to simpler algorithms which students have either seen or can quickly learn (such as the Euclidean algorithm) to motivate the type of results on run-time savings.

Product Specifications

Format: Hardcover
ASIN: 1470441144
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 30 January 2018
Listed Since: 10 November 2017

Barcode

No barcode data available

Mathematics of Optimization: How to Do Things Faster (Pure and Applied Undergraduate Texts)

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

Practical Optimization Methods : With Mathematical Applications

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

Optimization Concepts and Applications in Engineering

Practical Optimization: Algorithms and Engineering Applications

A First Course in Optimization Theory

Design and Analysis of Approximation Algorithms: 62 (Springer Optimization and Its Applications, 62)

Engineering Optimization: Theory and Practice

Recent Advances in Global Optimization (Princeton Legacy Library)

Hybrid Metaheuristics: Powerful Tools for Optimization (Artificial Intelligence: Foundations, Theory, and Algorithms)

State of the Art in Global Optimization: Computational Methods and Applications: 7 (Nonconvex Optimization and Its Applications, 7)

The Basics of Practical Optimization

State of the Art in Global Optimization: Computational Methods and Applications: 7 (Nonconvex Optimization and Its Applications, 7)

Experimental Methods for the Analysis of Optimization Algorithms

Advances and Trends in Optimization with Engineering Applications (MOS-SIAM Series on Optimization)

Computing Tools for Modeling, Optimization and Simulation: Interfaces in Computer Science and Operations Research: 12 (Operations Research/Computer Science Interfaces Series, 12)

Computing Tools for Modeling, Optimization and Simulation: Interfaces in Computer Science and Operations Research: 12 (Operations Research/Computer Science Interfaces Series, 12)

Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions: 147 (Springer Proceedings in Mathematics & Statistics, 147)

Hybrid Metaheuristics: 434 (Studies in Computational Intelligence, 434)

Optimization in Large Scale Problems: Industry 4.0 and Society 5.0 Applications: 152 (Springer Optimization and Its Applications, 152)

Global Optimization: From Theory to Implementation: 84 (Nonconvex Optimization and Its Applications, 84)

Convex Analysis and Global Optimization: 22 (Nonconvex Optimization and Its Applications, 22)

Optimization P: Foundations and Applications

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

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance