Pricelists.org Pricelists.org Accedi Registrati

Multiple-Time-Scale Dynamical Systems

☆☆☆☆☆ (0 reviews)
Show price history
Multiple-Time-Scale Dynamical Systems
Lowest price (incl. delivery)
21 474,00 JPY
Typical price2 982,55 PLN
Lowest (90 days)129,99 PLN
Offers6
Last updated6 giorni fa
See best offer
Price history (90 days)
Full history
2026-08-08 2026-08-15
Storico prezzi
Aggiornato ilPrezzo
2026-08-08129,99
2026-08-15155,99
Venditore Product price Delivery Totale Disponibilità Updated
SP SpringerNatureLink Shop INT 21 449,00 JPY 25,00 JPY 21 474,00 JPY Disponibile 9 ore fa View offer
SP Springer Nature Author 21 449,00 JPY 29,00 JPY 21 478,00 JPY Disponibile 6 giorni fa View offer
SP SpringerNatureLink Shop INT 149,99 USD 19,00 USD 168,99 USD Disponibile 12 ore fa View offer
SP SpringerNatureLink Shop INT 169,99 USD 29,00 USD 198,99 USD Disponibile 11 ore fa View offer
SP SpringerNatureLink Shop INT 169,99 USD 15,00 USD 184,99 USD Disponibile 11 ore fa View offer
SP SpringerNatureLink Shop INT 177,00 EUR 19,00 EUR 196,00 EUR Disponibile 11 ore fa View offer

I prezzi e la disponibilità possono variare. Ultimo aggiornamento: 08.08.2026 23:33.

0,0
☆☆☆☆☆
0 reviews
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Product reviews

Rating
No reviews yet — be the first!
Systems with sub-processes evolving on many different time scales are ubiquitous in applications: chemical reactions, electro-optical and neuro-biological systems, to name just a few. This volume contains papers that expose the state of the art in mathematical techniques for analyzing such systems. Recently developed geometric ideas are highlighted in this work that includes a theory of relaxation-oscillation phenomena in higher dimensional phase spaces. Subtle exponentially small effects result from singular perturbations implicit in certain multiple time scale systems. Their role in the slow motion of fronts, bifurcations, and jumping between invariant tori are all explored here. Neurobiology has played a particularly stimulating role in the development of these techniques and one paper is directed specifically at applying geometric singular perturbation theory to reveal the synchrony in networks of neural oscillators.

Similar products