Kapoor hari mohan (8 resultados)

Soft cover. Condición: Very Good. ORIGIONAL 1971 Reprint/Offprint of journal article; softcovers; light creasing of corners of covers and leaves; o/w in very good condition. Journal.

Soft cover. Condición: Good. ORIGINAL Reprint/Offprint from symposium volume; issued w/ paper covers; owner's stamp; light foxing of covers; o/w in good condition. Journal.

Soft cover. Condición: Very Good. ORIGINAL 1975 PUBLICATION; softcover; this is NOT ex-library; owner's stamp; minor shelfwear and light smudging of covers; a few light foxing spots; otherwise contents in very good condition. Book.

Hard Cover. Condición: Very Good. HARDCOVER; edges of dustjacket w/ several tears; minor shelfwear w/ bumped corners; o/w in very good condition. This is a heavy volume; extra shipping may be required for priority mail or international orders.

Hard Cover. Condición: Good. Estado de la sobrecubierta: Fair. Folio - over 12" - 15" tall. 204 (2) pp with one fold-out chart and 20 B&W plates in text. Text is clean, tight and unmarked. Boards are paper-bound with some wrinkling to paper, slightly warped. Dust wrapper, now in protective mylar, has some taping and edgewear. …

Condición: New. Dr. Geeta Arora received her Ph.D. from IIT Roorkee, India, in 2011 and is currently a Professor in the Department of Mathematics at Lovely Professional University, Punjab. She has published around 65 Scopus-indexed research papers and a.

Buch. Condición: Neu. Computational Methods in Engineering, AI, and Analysis | Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis | Geeta Arora (u. a.) | Buch | VII | Englisch | 2026 | De Gruyter | EAN 9783119142816 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.…

Buch. Condición: Neu. Neuware - Computational Methods in Engineering, AI, and Analysis offers a comprehensive concept of modern computational mathematics, bringing together theoretical foundations, advanced numerical methods, and emerging data-driven approaches. The volume is structured across three key themes: mathematical modeling and computational techniques, engineering and physical system applications, and artificial intelligence with machine learning. It presents a collection of the methodologies such as wavelet-based methods, fractional calculus, finite element analysis, and hybrid AI models, with applications to the real-world problems in fluid dynamics, finance, healthcare, and environmental systems. With the contributions from the researchers across interdisciplinary fields, the book highlights the growing interaction between mathematics and the computational domain with the involvement of the advanced computational techniques to address the complex scientific challenges.…