Non-Fiction Books:

Exercises in Applied Mathematics

With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics
Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Hardback
$267.99
Releases

Pre-order to reserve stock from our first shipment. Your credit card will not be charged until your order is ready to ship.

Available for pre-order now

Buy Now, Pay Later with:

4 payments of $67.00 with Afterpay Learn more

Pre-order Price Guarantee

If you pre-order an item and the price drops before the release date, you'll pay the lowest price. This happens automatically when you pre-order and pay by credit card.

If paying by PayPal, Afterpay, Zip or internet banking, and the price drops after you have paid, you can ask for the difference to be refunded.

If Mighty Ape's price changes before release, you'll pay the lowest price.

Availability

This product will be released on

Delivering to:

It should arrive:

  • 10-17 June using International Courier

Description

This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections.  It explores essential tools from linear algebra, elementary functional analysis, and probability theory in detail and demonstrates their applications in topics such as entropy, machine learning, error-correcting codes, and quantum channels.  The theory of communication and signal theory are also in the background, and many exercises have been chosen from the theory of wavelets and machine learning.  Exercises are selected from a number of different domains, both theoretical and more applied.  Notes and other remarks provide motivation for the exercises, and hints and full solutions are given for many.  For senior undergraduate and beginning graduate students majoring in mathematics, physics, or engineering, this text will serve as a valuable guide as theymove on to more advanced work.

Author Biography:

​Daniel Alpay was born in Paris (France) and has a double formation of electrical engineer (Telecom Paris) and theoretical mathematics (Weizmann Institute, Rehovot, Israel). His research interests are in hypercomplex analysis, operator theory, stochastic processes (in particular in the setting of infinite dimensional analysis) and mathematical physics. He wrote a number of research books and more than 300 papers. Building on his research, he wrote two exercises books on complex analysis. He was a chaired professor at Ben-Gurion University (Beer-Sheva, Israel) and is now Professor at Chapman University (Orange, California), where he holds the Foster G. and Mary McGaw Professorship in Mathematical Sciences.
Release date Australia
June 3rd, 2024
Author
Audience
  • Tertiary Education (US: College)
Edition
1st ed. 2024
Illustrations
5 Illustrations, black and white; X, 650 p. 5 illus.
Pages
694
ISBN-13
9783031518218
Product ID
38436466

Customer previews

Nobody has previewed this product yet. You could be the first!

Write a Preview

Help & options

Filed under...