Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

by Wei Cai
Save 35% Save 35%
Current price ₹12,354.00
Original price ₹19,005.00
Original price ₹19,005.00
Original price ₹19,005.00
(-35%)
₹12,354.00
Current price ₹12,354.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Hardcover
  • ISBN13: 9789819600991
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 620
  • Original Price: EUR 169.99
  • Language: English
  • Edition: Second 2025
  • Item Weight: 1075 grams
  • BISAC Subject(s): Numerical Analysis

Dielectric constant and fluctuation formulae for molecular dynamics.- PoissonBoltzmann electrostatics and analytical approximations.- Numerical methods for PoissonBoltzmann equations.- Random walk stochastic methods for boundary value problems.- Deep Neural Network for Solving PDEs.- Fast algorithms for long-range interactions.- Fast multipole methods for long-range interactions in layered media.- Maxwell equations, potentials, and physical/artificial boundary conditions.- Dyadic Green's functions in layered media.- High-order methods for surface electromagnetic integral equations.- High-order hierarchical Nedelec edge elements.- Time-domain methods discontinuous Galerkin method and Yee scheme.- Scattering in periodic structures and surface plasmons.- Schr odinger equations for waveguides and quantum dots.- Quantum electron transport in semiconductors.- Non-equilibrium Green's function (NEGF) methods for transport.- Numerical methods for Wigner quantum transport.- Hydrodynamic electron transport and finite difference methods.- Transport models in plasma media and numerical methods.

Prof. Wei Cai is the Clements chair professor in Applied Mathematics at the Department of Mathematics at Southern Methodist University. He obtained his B.S. and M.S. in Mathematics from the University of Science and Technology of China (USTC) in 1982 and 1985, respectively, and his Ph.D. in Applied Mathematics at Brown University in 1989. Before he joined SMU in the fall of 2017, he was an assistant and then associate professor at the University of California at Santa Barbara during 1995-1996 and a full professor at the University of North Carolina after 1999. He has also conducted collaborative research at Peking University, USTC, Shanghai Jiao Tong University, and Fudan University. He works on fast machine learning, stochastic, and deterministic numerical methods for scientific computing applications, and was awarded the Feng Kang prize in scientific computing in 2005.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us