Description: Exercises in Applied Mathematics by Daniel Alpay Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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. Publisher 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. Details ISBN 3031518217 ISBN-13 9783031518218 Title Exercises in Applied Mathematics Author Daniel Alpay Format Hardcover Year 2024 Pages 694 Edition 2024th Publisher Birkhauser Verlag AG GE_Item_ID:160125938; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 127.63 USD
Location: Fairfield, Ohio
End Time: 2024-11-18T04:48:23.000Z
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ISBN-13: 9783031518218
Book Title: Exercises in Applied Mathematics
Number of Pages: IX, 694 Pages
Publication Name: Exercises in Applied Mathematics : With a View Toward Information Theory, Machine Learning, Wavelets, and Statistical Physics
Language: English
Publisher: Springer International Publishing A&G
Subject: Algebra / Linear, Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Publication Year: 2024
Type: Textbook
Subject Area: Mathematics, Computers
Author: Daniel Alpay
Item Length: 9.3 in
Item Width: 6.1 in
Series: Chapman Mathematical Notes Ser.
Format: Hardcover