£74.82

Introduction to Optimization and Hadamard Semidifferential Calculus

Applied Mathematics

Price data last checked 90 day(s) ago - refreshing...

View at Amazon

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

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

£75 today · cheaper than every other day in the last 3 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 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £75 (1 days, 100.0%)

Price range: £75 - £75

Price levels: 1 different prices over 1 days

Description

This second edition provides an enhanced exposition of the long-overlooked Hadamard semidifferential calculus, first introduced in the 1920s by mathematicians Jacques Hadamard and Maurice René Fréchet. Hadamard semidifferential calculus is possibly the largest family of nondifferentiable functions that retains all the features of classical differential calculus, including the chain rule, making it a natural framework for initiating a large audience of undergraduates and non-mathematicians into the world of nondifferentiable optimization.Introduction to Optimization and Hadamard Semidifferential Calculus, Second Edition:builds upon its prior edition’s foundations in Hadamard semidifferential calculus, showcasing new material linked to convex analysi¬¬s and nonsmooth optimization;presents a modern treatment of optimization and Hadamard semidifferential calculus while remaining at a level that is accessible to undergraduate students; andchallenges students with exercises related to problems in such fields as engineering, mechanics, medicine, physics, and economics and supplies answers in Appendix B. About the Author Michel C. Delfour is a professor of mathematics and statistics at the University of Montreal and is the author or coauthor of 13 books and about 200 papers. Delfour’s areas of research include shape and topological optimal design, analysis and control of delay and distributed parameter systems, control and stabilization of large flexible space structures, numerical methods in differential equations and optimization, and transfinite interpolation. He is a Fellow of SIAM, the Canadian Mathematical Society, the Academy of Science at the Royal Society of Canada, and, formerly, the Guggenheim Foundation.

Product Specifications

Format: Hardcover
ASIN: 1611975956
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 30 January 2020
Listed Since: 10 January 2020

Barcode

No barcode data available

Introduction to Optimization and Hadamard Semidifferential Calculus

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

Springer Duality Principles in Nonconvex Systems - Vol 39

Duality and Perturbation Methods in Critical Point Theory (Cambridge Tracts in Mathematics, Series Number 107)

Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects: 47 (Nonconvex Optimization and Its Applications, 47)

Nonlinear Functional Analysis and its Applications: III: Variational Methods and Optimization: 003

Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects: 47 (Nonconvex Optimization and Its Applications, 47)

Nonsmooth Analysis and Control Theory: 178 (Graduate Texts in Mathematics, 178)

Analysis of Operators on Function Spaces: The Serguei Shimorin Memorial Volume (Trends in Mathematics)

An Introduction to Minimax Theorems and Their Applications to Differential Equations: 52 (Nonconvex Optimization and Its Applications, 52)

Intelligent Mathematics: Computational Analysis: 5 (Intelligent Systems Reference Library, 5)

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

Topological Methods for Differential Equations and Inclusions (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Introduction to the Theory of Optimization in Euclidean Space (Chapman & Hall/CRC Series in Operations Research)

Duality and Perturbation Methods in Critical Point Theory: 107 (Cambridge Tracts in Mathematics, Series Number 107)

Variational Methods For Strongly Indefinite Problems (Interdisciplinary Mathematical Sciences): 7

Calculus of Variations: 64 (Cambridge Studies in Advanced Mathematics, Series Number 64)

Differential Equations And Applications: 5: v. 5

Fuzzy Operator Theory in Mathematical Analysis

Particle Swarm Optimisation: Classical and Quantum Perspectives: 16 (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Parametrized Measures and Variational Principles: 30 (Progress in Nonlinear Differential Equations and Their Applications, 30)

Parametrized Measures and Variational Principles: 30 (Progress in Nonlinear Differential Equations and Their Applications, 30)

The Monge-Ampère Equation: 89 (Progress in Nonlinear Differential Equations and Their Applications, 89)

Generalized Fractional Programming (Mathematics Research Developments)

Nonlinear semigroups and differential equations in Banach spaces

Recent Trends in Mathematical Modeling and High Performance Computing: M3HPCST-2020, Ghaziabad, India, January 9-11, 2020